At a glance

Skills

  • Certainty conversion The creative ability to transform uncertain scenarios into structured problem spaces with tangible solutions using reference frames. Typically observed as: The creative ability to transform uncertain scenarios into structured problem spaces with tangible solutions using reference frames.
  • Rigid boundary thinking Acquires concepts with strict technical definitions and adheres to them precisely. Typically observed as: Acquires concepts with strict technical definitions and adheres to them precisely.
  • Expertise The presence of deep, comprehensive expertise in a specific professional domain. Typically observed as: The presence of deep, comprehensive expertise in a specific professional domain.
  • Quantity-oriented Performance is driven by high-speed output and volume. Typically observed as: Performance is driven by high-speed output and volume.
  • Empathy-driven collaboration An implicit approach to reaching goals by fostering deep empathy and prioritizing collective effort over individual output. Typically observed as: An implicit approach to reaching goals by fostering deep empathy and prioritizing collective effort over individual output.
  • Factual long-term retention The disciplined retention of dense, static information (technical specs, historical precedents, or data patterns) for immediate retrieval. Typically observed as: The disciplined retention of dense, static information (technical specs, historical precedents, or data patterns) for immediate retrieval.
  • Curiosity A domain-agnostic drive to ask significant questions and seek out answers independently or through others. Typically observed as: A domain-agnostic drive to ask significant questions and seek out answers independently or through others.

Motivations & behaviors

  • Stress Testing & Vulnerability Discovery
  • Gratification Sourcing
  • Collaborative Motivation
  • Agreeableness (low)
  • Need for cognition (low)
  • Tolerance for uncertainty (low)

Cognitive Capability Inference

What is durable, what is AI-redundant, and where you fit as tech half-lives shift through 2026. Sourced from your captured signals and 2026 priors.

Your profile leans durable — strong footing as AI reshapes work.

In plain language:

  • Most of the strengths that showed up here are the kind AI struggles to replace. (62% of your qualified strengths are durable.)
  • Several of your durable strengths also sit in areas of rising demand — room to grow, not just hold.
  • We estimated how well you fit ambiguous, self-directed work. Your profile suggests you do best with clearer structure and defined problems.
  • Your standout strengths here: ExpertiseQuantity-orientedNon-linguistic symbolic thinkingEmpathy-driven collaboration

This is an estimate from the evidence in one session — a conversation starter, not a verdict. The detailed sections below show exactly how each number was derived.

Signals are present but under-differentiated — your PPs need to be refined or used more dominantly. Model reliability is moderate; treat borderline calls with caution.

Confidence: moderate · model reliability moderate (69/100) — this read is downgraded accordingly.

Capability indices

Survive: 0.74 · Flourish: 0.88 · 34 qualified atoms

  • Durable: 62% · Eroding: 12% · Replaceable: 27%
  • Speciality vs core: 35% / 65%

CE × TE fit

Cognitive-entropy tier: low

  • TE low — match: structured-work fit
  • TE medium — mismatch: complexity strain
  • TE high — strong_mismatch: overwhelm / incompatible complexity

Cognitive entropy

Cognitive entropy is your estimated ability to deal with chaotic problem spaces and uncertainty.

Status: low · 44 of 62 cognitive-entropy atoms are present in your evidence.

Strongest evidence (top logits behind this read):

  • LS_20 Certainty conversion — Latent skill (1.000)
  • LS_32 Expertise — Latent skill (1.000)
  • LS_88 Factual long-term retention — Latent skill (1.000)
  • LS_36 Free thinking with decision-making — Latent skill (1.000)
  • LS_78 Asking stupid unexpected questions — Latent skill (1.000)

CE × TE alignment chart

Rows = Cognitive Entropy (your capacity to structure loosely-defined work). Columns = Task Entropy (how loosely-defined the work is). Your row is your CE tier; your highlighted cell is where the evaluated work lands.

CE ↓ / TE → TE lowTE mediumTE high
CE high mismatch
boredom / under-utilization 		match
capacity headroom 		strong_match
frontier match
CE moderate match
stable fit, low stretch 		strong_match
balanced sweet-spot 		stretch
overload risk without scaffolding
CE low match
structured-work fit 		mismatch
complexity strain 		strong_mismatch
overwhelm / incompatible complexity

No future-work text supplied, so your row (CE low) is highlighted but no single TE column is selected.

Top capabilities (by average logit)

Your strongest-evidence capabilities, ranked by average logit (same order used throughout this report and the summary). Durability 0–1 = how AI-resistant the skill is at the 12-month horizon (higher = safer). Hits = qualifying chunks; a spike badge means a strong single-chunk swing qualified it.

  • LS_32 Expertise — replaceable (dur 0.39, 1 hits) · spike
    The presence of deep, comprehensive expertise in a specific professional domain.
    Typically observed as: The presence of deep, comprehensive expertise in a specific professional domain.
  • LS_69 Quantity-oriented — replaceable (dur 0.35, 1 hits) · spike
    Performance is driven by high-speed output and volume.
    Typically observed as: Performance is driven by high-speed output and volume.
  • LS_53 Non-linguistic symbolic thinking — replaceable (dur 0.40, 1 hits) · spike
    Cognitive processing utilizes abstract, self-defined ideas and non-standard symbolic processes.
    Typically observed as: Cognitive processing utilizes abstract, self-defined ideas and non-standard symbolic processes.
  • LS_9 Empathy-driven collaboration — durable (dur 1.00, 2 hits) · spike
    An implicit approach to reaching goals by fostering deep empathy and prioritizing collective effort over individual output.
    Typically observed as: An implicit approach to reaching goals by fostering deep empathy and prioritizing collective effort over individual output.
  • LS_64 Independent-individualistic excellence — replaceable (dur 0.38, 3 hits)
    Capable of handling work in a DIY proactive way.
    Typically observed as: Capable of handling work in a DIY proactive way.

Lowest-evidence qualified capabilities

  • LS_17 Goal-creation — replaceable (avg logit 0.971, dur 0.33)
  • LS_21 Self-reflection — durable (avg logit 0.976, dur 0.75)
  • LS_72 Improvisation (Jugaad) — durable (avg logit 0.979, dur 1.00)
  • LS_85 Persuasion — durable (avg logit 0.983, dur 1.00)
  • LS_96 Sandbox Sharing — durable (avg logit 0.986, dur 1.00)

Capability logits (ranked by average)

Average = mean logit across the chunks where this capability qualified (sustained signal). Spike = its strongest single-chunk logit. The list is ordered by average logit.

ID Capability Avg logit Spike logit Durability
LS_32 Expertise spike 1.000 1.000 0.39
LS_69 Quantity-oriented spike 1.000 1.000 0.35
LS_53 Non-linguistic symbolic thinking spike 0.999 0.999 0.40
LS_9 Empathy-driven collaboration spike 0.998 1.000 1.00
LS_64 Independent-individualistic excellence 0.998 1.000 0.38
LS_36 Free thinking with decision-making 0.998 1.000 1.00
LS_7 Procedural thinking 0.997 0.999 0.55
LS_45 Blank canvas approach 0.997 1.000 0.75
LS_47 Task-focused 0.995 0.996 0.87
LS_91 Applied Theory of Mind 0.995 0.999 1.00
LS_56 Rigid boundary thinking 0.995 1.000 0.40
LS_93 Strategic interpersonal evaluation 0.995 0.998 1.00
LS_13 Deconstructive Innovation curiosity 0.994 0.997 0.70
LS_5 Goal-driven interaction 0.994 0.998 0.57
LS_95 Human-function indexing 0.992 0.999 1.00
LS_66 Process-oriented 0.992 0.994 0.51
LS_40 Finishes work 0.991 1.000 0.25
LS_88 Factual long-term retention 0.991 1.000 1.00
LS_78 Asking stupid unexpected questions 0.990 1.000 1.00
LS_25 Curiosity 0.989 1.000 0.95
LS_51 Data-centric 0.989 0.999 0.40
LS_94 Linguistic-conceptual code-switching 0.989 0.999 1.00
LS_83 Expert-recommendations and 1-shot suggestions 0.988 0.996 1.00
LS_24 Feedback adaptibility 0.987 0.998 0.86
LS_73 Speed solutions real-time in-conversation problem-solving 0.987 0.999 1.00
LS_71 Wabi-sabi 0.987 1.000 1.00
LS_20 Certainty conversion 0.986 1.000 0.50
LS_68 Quality-oriented 0.986 1.000 0.33
LS_14 Real-time problem-solving 0.986 0.995 1.00
LS_96 Sandbox Sharing 0.986 0.995 1.00
LS_85 Persuasion 0.983 0.997 1.00
LS_72 Improvisation (Jugaad) 0.979 0.991 1.00
LS_21 Self-reflection 0.976 0.999 0.75
LS_17 Goal-creation 0.971 1.000 0.33
Durability math and why-now priors

LS_32 Expertise

static 0.50 · decay pressure 0.19 · growth lift 0.00 · floor 0.25

  • Decay: Single-interface specialization · absorption 0.51 · Current productivity can remain high while long-term transferability collapses, so this prior prevents overvaluing brittle expertise.
  • Decay: Fixed-workflow software expertise · absorption 0.65 · The business process may endure, but interface-specific knowledge can decay rapidly.

LS_69 Quantity-oriented

static 0.50 · decay pressure 0.25 · growth lift 0.00 · floor 0.25

  • Decay: First-pass output production · absorption 0.76 · First-pass quality may still vary, but its economic value declines as availability approaches abundance.
  • Decay: Routine information-production roles · absorption 0.65 · Production volume may rise rather than fall, so employment counts alone can mislead; the relevant question is whether human production still commands premium value.

LS_53 Non-linguistic symbolic thinking

static 0.50 · decay pressure 0.17 · growth lift 0.00 · floor 0.25

  • Decay: Purely digital symbolic-work domains · absorption 0.51 · Not all digital work is replaceable, but its procedures can change faster than physical or regulated work, so the domain deserves a higher instability prior.

LS_9 Empathy-driven collaboration

static 1.00 · decay pressure 0.00 · growth lift 0.35 · floor 0.50

  • Growth: Communication object selection · absorption 0.65 · The human advantage becomes deciding what is worth communicating, to whom, in what sequence, and at what moment.
  • Growth: Working-memory and attention expansion · absorption 0.51 · People able to absorb, maintain, and manipulate larger AI-generated information sets gain an advantage in complex workflows.
  • Decay: Cultural resistance to machine participation · absorption 0.51 · Social friction matters, but it should be modeled as a slowing factor rather than a permanent barrier.
  • Decay: Human presence as a trust proxy · absorption 0.30 · Human preference is context-dependent and can change through repeated exposure, so current discomfort should not be treated as permanent.

LS_64 Independent-individualistic excellence

static 0.50 · decay pressure 0.20 · growth lift 0.00 · floor 0.25

  • Decay: Standalone interface-mediated roles · absorption 0.30 · The underlying domain knowledge may remain valuable, but the role title should decay when most of its value comes from navigating a tool rather than making consequential decisions.
  • Decay: Single-interface specialization · absorption 0.51 · Current productivity can remain high while long-term transferability collapses, so this prior prevents overvaluing brittle expertise.

AI-redundant

  • LS_56 Rigid boundary thinking — dur 0.40
  • LS_32 Expertise — dur 0.39
  • LS_69 Quantity-oriented — dur 0.35
  • LS_64 Independent-individualistic excellence — dur 0.38
  • LS_40 Finishes work — dur 0.25
  • LS_17 Goal-creation — dur 0.33
  • LS_68 Quality-oriented — dur 0.33
  • LS_51 Data-centric — dur 0.40
  • LS_53 Non-linguistic symbolic thinking — dur 0.40

High demand now

  • LS_9 Empathy-driven collaboration
  • LS_88 Factual long-term retention
  • LS_36 Free thinking with decision-making
  • LS_78 Asking stupid unexpected questions
  • LS_71 Wabi-sabi
  • LS_95 Human-function indexing
  • LS_94 Linguistic-conceptual code-switching
  • LS_73 Speed solutions real-time in-conversation problem-solving
  • LS_91 Applied Theory of Mind
  • LS_93 Strategic interpersonal evaluation
  • LS_85 Persuasion
  • LS_83 Expert-recommendations and 1-shot suggestions
  • LS_96 Sandbox Sharing
  • LS_14 Real-time problem-solving
  • LS_72 Improvisation (Jugaad)
  • LS_25 Curiosity
  • LS_47 Task-focused
  • LS_24 Feedback adaptibility
  • LS_45 Blank canvas approach
  • LS_21 Self-reflection
  • LS_13 Deconstructive Innovation curiosity

Where you'll flourish

  • LS_14 Real-time problem-solving (growth +0.63)
  • LS_78 Asking stupid unexpected questions (growth +0.51)
  • LS_25 Curiosity (growth +0.51)
  • LS_96 Sandbox Sharing (growth +0.37)
  • LS_9 Empathy-driven collaboration (growth +0.35)
  • LS_73 Speed solutions real-time in-conversation problem-solving (growth +0.35)
  • LS_88 Factual long-term retention (growth +0.32)
  • LS_24 Feedback adaptibility (growth +0.51)
  • LS_95 Human-function indexing (growth +0.23)
  • LS_94 Linguistic-conceptual code-switching (growth +0.22)
  • LS_91 Applied Theory of Mind (growth +0.22)
  • LS_93 Strategic interpersonal evaluation (growth +0.22)
  • LS_85 Persuasion (growth +0.22)
  • LS_83 Expert-recommendations and 1-shot suggestions (growth +0.22)
  • LS_47 Task-focused (growth +0.30)
Alignment signal (display only)

No future-work text supplied, so alignment is display-only (no target role to bias toward).

Motivations (SM)

  • Stress Testing & Vulnerability Discovery (0.99)
  • SM_12 (0.89)
  • SM_13 (0.89)
  • SM_5 (0.82)
  • Prestige & Legacy (0.94)
  • SM_6 (0.89)
  • SM_10 (0.77)
  • Gratification Sourcing (0.98)
  • SM_22 (0.91)
  • SM_8 (0.89)
  • SM_2 (0.84)
  • SM_1 (0.74)
  • Collaborative Motivation (0.97)
  • Positivity Deliverance (0.96)

Personality (PT)

  • Openness to experience (low) (0.88)
  • Agreeableness (low) (0.99)
  • Need for cognition (low) (0.96)
  • Tolerance for uncertainty (low) (0.94)
  • Autotelic personality (low) (0.93)
  • Conscentiousness (low) (0.74)
  • Autotelic personality (high) (0.77)
  • Conscentiousness (high) (0.72)

Orientation (OM)

Coming soon (deferred model).

Inference diagnostics

Classifier confidence is separated from Shreddy chat progress. These checks describe how trustworthy the post-chat inference looks for this evidence bundle.

Reliability gate

Some model families look low-confidence because too many atoms saturated at the score extremes.

Reliability score: 68.7/100 · status: moderate

  • ls_bridge: This model looks low-confidence for this input. Too many atom scores are saturating at the top and bottom ends for the amount of evidence collected. 9/11 high-extreme atoms (>= 0.97), 0/11 low-extreme atoms (<= 0.03), 23 chunks, 1850 words.
  • ls_core_cognitive: This model looks low-confidence for this input. Too many atom scores are saturating at the top and bottom ends for the amount of evidence collected. 22/25 high-extreme atoms (>= 0.97), 0/25 low-extreme atoms (<= 0.03), 23 chunks, 1850 words.
  • ls_core_embodied: This model looks low-confidence for this input. Too many atom scores are saturating at the top and bottom ends for the amount of evidence collected. 29/46 high-extreme atoms (>= 0.97), 10/46 low-extreme atoms (<= 0.03), 23 chunks, 1850 words.

Cognitive entropy

Status: low

CE is not fully saturated across LS, PT, and SM yet. Treat it as a directional signal, not a conclusion.

  • LS: 37/40 crossed at 0.96
  • PT: 2/4 crossed at 0.70
  • SM: 5/4 crossed at 0.70
Atoms crossed for CE

LS

  • LS_0 — Big vision-oriented thinking (0.999)
  • LS_1 — Abstraction capacity (0.997)
  • LS_2 — Long-term conceptualization (0.992)
  • LS_3 — Interpersonal thought alignment (0.991)
  • LS_4 — Contextual adaptability (0.991)
  • LS_5 — Goal-driven interaction (0.998)
  • LS_6 — Cross-domain integration (0.991)
  • LS_7 — Procedural thinking (0.999)
  • LS_13 — Deconstructive Innovation curiosity (0.997)
  • LS_14 — Real-time problem-solving (0.995)
  • LS_15 — Cognitive flexibility (0.983)
  • LS_17 — Goal-creation (1.000)
  • LS_18 — Control over ambiguity (0.998)
  • LS_20 — Certainty conversion (1.000)
  • LS_22 — Self-monitoring (0.990)
  • LS_24 — Feedback adaptibility (0.998)
  • LS_32 — Expertise (1.000)
  • LS_36 — Free thinking with decision-making (1.000)
  • LS_44 — Available tools (0.981)
  • LS_45 — Blank canvas approach (1.000)
  • LS_48 — Behavior analysis (0.999)
  • LS_50 — Language-centric (0.979)
  • LS_52 — Mental-model-centric (0.995)
  • LS_53 — Non-linguistic symbolic thinking (0.999)
  • LS_54 — Ungodly pattern recognition (0.992)
  • LS_59 — Flexible attention (0.994)
  • LS_66 — Process-oriented (0.994)
  • LS_72 — Improvisation (Jugaad) (0.991)
  • LS_73 — Speed solutions real-time in-conversation problem-solving (0.999)
  • LS_76 — Tech innovation ideation (0.966)
  • LS_78 — Asking stupid unexpected questions (1.000)
  • LS_83 — Expert-recommendations and 1-shot suggestions (0.996)
  • LS_86 — High-fidelity social indexing (0.994)
  • LS_88 — Factual long-term retention (1.000)
  • LS_94 — Linguistic-conceptual code-switching (0.999)
  • LS_95 — Human-function indexing (0.999)
  • LS_96 — Sandbox Sharing (0.995)

PT

  • PT_3_high — Autotelic personality (high) (0.767)
  • PT_9_high — Conscentiousness (high) (0.725)

SM

  • SM_0 — Exploration & Discovery (0.879)
  • SM_2 — Uncertainty Reduction (0.845)
  • SM_8 — Resilience & Adaptation (0.885)
  • SM_10 — Waypower Hope (0.772)
  • SM_21 — Dynamic Variance & Flux (0.779)

Source data — raw productive-prior evidence

1850 words analyzed · 23 inference chunks

Underlying model data behind the CCI report. Final score is the averaged evidence score unless a chunk spike promoted it above the average.

Latent Skills (LS)

Patterns in how the person thinks, learns, solves, adapts, and communicates.

Skills — how you interact with ideas and engage others23 chunks · spike 0.96
Low reliability This model looks low-confidence for this input. Too many atom scores are saturating at the top and bottom ends for the amount of evidence collected. 9/11 high-extreme atoms (>= 0.97), 0/11 low-extreme atoms (<= 0.03), 23 chunks, 1850 words.

Reliable top 5

ID Label FinalAverageSpike Support
LS_88 Factual long-term retention
spike promoted
The disciplined retention of dense, static information (technical specs, historical precedents, or data patterns) for immediate retrieval.
 1.000 0.987 1.000 Cover letter | chunk 20 | 23 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
LS_95 Human-function indexing
spike promoted
The ability to identify a person's specific value or utility in a given context, matching their unique qualities to the specific needs of a situation or third party.
 0.999 0.990 0.999 Cover letter | chunk 22 | 23 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
LS_94 Linguistic-conceptual code-switching
spike promoted
The ability to maintain multiple distinct mental models of the same concept and translate between different expertise-vocabularies or professional frames in real-time.
 0.999 0.988 0.999 Interview | chunk 16 | 23 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
LS_91 Applied Theory of Mind
spike promoted
The real-time calibration of behavior based on an internal model of another person's mental state, intent, or emotional threshold.
 0.999 0.967 0.999 Interview | chunk 3 | 21 supporting chunks | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..."
LS_93 Strategic interpersonal evaluation
spike promoted
The real-time analytical process of judging which social persona or behavioral strategy will best achieve an objective in a specific encounter.
 0.998 0.972 0.998 Interview | chunk 11 | 22 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."

Spike-promoted atoms

IDLabelFinalAverageSpikeSupport
LS_88 Factual long-term retention 1.000 0.987 1.000 Cover letter | chunk 20 | 23 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
LS_95 Human-function indexing 0.999 0.990 0.999 Cover letter | chunk 22 | 23 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
LS_94 Linguistic-conceptual code-switching 0.999 0.988 0.999 Interview | chunk 16 | 23 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
LS_91 Applied Theory of Mind 0.999 0.967 0.999 Interview | chunk 3 | 21 supporting chunks | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..."
LS_93 Strategic interpersonal evaluation 0.998 0.972 0.998 Interview | chunk 11 | 22 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."

Strong shifts across chunks

  • Chunk 1 (90 words) — Interview | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..." : LS_88 Factual long-term retention (0.999) · LS_94 Linguistic-conceptual code-switching (0.995) · LS_95 Human-function indexing (0.990) · LS_96 Sandbox Sharing (0.980)
  • Chunk 2 (78 words) — Interview | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..." : LS_91 Applied Theory of Mind (0.998) · LS_94 Linguistic-conceptual code-switching (0.997) · LS_93 Strategic interpersonal evaluation (0.987) · LS_95 Human-function indexing (0.983)
  • Chunk 3 (78 words) — Interview | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..." : LS_91 Applied Theory of Mind (0.999) · LS_95 Human-function indexing (0.990) · LS_94 Linguistic-conceptual code-switching (0.987) · LS_93 Strategic interpersonal evaluation (0.986)
  • Chunk 4 (81 words) — Interview | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..." : LS_88 Factual long-term retention (0.996) · LS_95 Human-function indexing (0.995) · LS_94 Linguistic-conceptual code-switching (0.979)
  • Chunk 5 (95 words) — Interview | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..." : LS_88 Factual long-term retention (0.999) · LS_94 Linguistic-conceptual code-switching (0.996) · LS_96 Sandbox Sharing (0.972)
  • Chunk 6 (80 words) — Interview | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..." : LS_94 Linguistic-conceptual code-switching (0.998) · LS_88 Factual long-term retention (0.996) · LS_95 Human-function indexing (0.993)
  • Chunk 7 (95 words) — Interview | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..." : LS_94 Linguistic-conceptual code-switching (0.991) · LS_91 Applied Theory of Mind (0.990) · LS_95 Human-function indexing (0.990) · LS_93 Strategic interpersonal evaluation (0.965) · LS_96 Sandbox Sharing (0.963)
  • Chunk 8 (80 words) — Interview | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...." : LS_95 Human-function indexing (0.999) · LS_93 Strategic interpersonal evaluation (0.996) · LS_91 Applied Theory of Mind (0.993)
  • Chunk 9 (77 words) — Interview | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..." : LS_95 Human-function indexing (0.997) · LS_96 Sandbox Sharing (0.995) · LS_93 Strategic interpersonal evaluation (0.992) · LS_86 High-fidelity social indexing (0.985) · LS_89 Attention-capturing modulation (0.984)
  • Chunk 10 (86 words) — Interview | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..." : LS_88 Factual long-term retention (1.000) · LS_95 Human-function indexing (0.978) · LS_94 Linguistic-conceptual code-switching (0.968)
  • Chunk 11 (83 words) — Interview | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..." : LS_93 Strategic interpersonal evaluation (0.998) · LS_91 Applied Theory of Mind (0.996) · LS_94 Linguistic-conceptual code-switching (0.991) · LS_95 Human-function indexing (0.988) · LS_92 Sensory-vocal contact initiation (0.980)
  • Chunk 12 (79 words) — Interview | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..." : LS_93 Strategic interpersonal evaluation (0.997) · LS_94 Linguistic-conceptual code-switching (0.995) · LS_91 Applied Theory of Mind (0.993) · LS_95 Human-function indexing (0.992)
  • Chunk 13 (88 words) — Interview | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...." : LS_93 Strategic interpersonal evaluation (0.995) · LS_96 Sandbox Sharing (0.995) · LS_88 Factual long-term retention (0.994) · LS_95 Human-function indexing (0.982) · LS_91 Applied Theory of Mind (0.980)
  • Chunk 14 (82 words) — Interview | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..." : LS_94 Linguistic-conceptual code-switching (0.997) · LS_91 Applied Theory of Mind (0.996) · LS_93 Strategic interpersonal evaluation (0.995) · LS_95 Human-function indexing (0.986) · LS_89 Attention-capturing modulation (0.984)
  • Chunk 15 (78 words) — Interview | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..." : LS_95 Human-function indexing (0.998) · LS_93 Strategic interpersonal evaluation (0.994) · LS_88 Factual long-term retention (0.989) · LS_91 Applied Theory of Mind (0.980)
  • Chunk 16 (80 words) — Interview | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..." : LS_94 Linguistic-conceptual code-switching (0.999) · LS_96 Sandbox Sharing (0.994) · LS_88 Factual long-term retention (0.978)
  • Chunk 17 (86 words) — Interview | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..." : LS_93 Strategic interpersonal evaluation (0.997) · LS_95 Human-function indexing (0.994) · LS_96 Sandbox Sharing (0.991) · LS_91 Applied Theory of Mind (0.989) · LS_88 Factual long-term retention (0.983)
  • Chunk 18 (86 words) — Interview | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..." : LS_95 Human-function indexing (0.995) · LS_86 High-fidelity social indexing (0.994) · LS_88 Factual long-term retention (0.994) · LS_96 Sandbox Sharing (0.978) · LS_93 Strategic interpersonal evaluation (0.967)
  • Chunk 19 (74 words) — Interview | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..." : LS_88 Factual long-term retention (0.995) · LS_94 Linguistic-conceptual code-switching (0.995) · LS_91 Applied Theory of Mind (0.993) · LS_93 Strategic interpersonal evaluation (0.987) · LS_95 Human-function indexing (0.985)
  • Chunk 20 (65 words) — Cover letter | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..." : LS_88 Factual long-term retention (1.000)
  • Chunk 21 (81 words) — Cover letter | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..." : LS_88 Factual long-term retention (0.999) · LS_94 Linguistic-conceptual code-switching (0.978) · LS_96 Sandbox Sharing (0.966)
  • Chunk 22 (69 words) — Cover letter | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..." : LS_95 Human-function indexing (0.999) · LS_94 Linguistic-conceptual code-switching (0.989)
  • Chunk 23 (61 words) — Portfolio | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..." : LS_94 Linguistic-conceptual code-switching (0.997) · LS_88 Factual long-term retention (0.982) · LS_95 Human-function indexing (0.979)
Full ranked list
RankIDLabelFinalAverageSpikeSupport
1 LS_88 Factual long-term retention 1.000 0.987 1.000 Cover letter | chunk 20 | 23 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
2 LS_95 Human-function indexing 0.999 0.990 0.999 Cover letter | chunk 22 | 23 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
3 LS_94 Linguistic-conceptual code-switching 0.999 0.988 0.999 Interview | chunk 16 | 23 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
4 LS_91 Applied Theory of Mind 0.999 0.967 0.999 Interview | chunk 3 | 21 supporting chunks | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..."
5 LS_93 Strategic interpersonal evaluation 0.998 0.972 0.998 Interview | chunk 11 | 22 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."
6 LS_96 Sandbox Sharing 0.995 0.955 0.995 Interview | chunk 9 | 23 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
7 LS_86 High-fidelity social indexing 0.994 0.673 0.994 Interview | chunk 18 | 11 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
8 LS_89 Attention-capturing modulation 0.984 0.702 0.984 Interview | chunk 14 | 13 supporting chunks | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..."
9 LS_92 Sensory-vocal contact initiation 0.980 0.665 0.980 Interview | chunk 11 | 11 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."
10 LS_90 Kinetic performance control 0.323 0.323 0.842 Interview | chunk 11 | 6 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."
11 LS_87 Morphological & spatial memory 0.290 0.290 0.879 Interview | chunk 7 | 1 supporting chunk | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..."
Skills — adaptable strengths (Wild card)23 chunks · spike 0.96
Moderate reliability This model stayed within a normal score range for the amount of evidence collected. 6/15 high-extreme atoms (>= 0.97), 0/15 low-extreme atoms (<= 0.03), 23 chunks, 1850 words.

Reliable top 5

ID Label FinalAverageSpike Support
LS_78 Asking stupid unexpected questions
spike promoted
The ability to ask 'absurd' or fundamental questions that reveal deeper truths others might overlook.
 1.000 0.960 1.000 Interview | chunk 7 | 17 supporting chunks | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..."
LS_71 Wabi-sabi
spike promoted
The ability to repair or salvage broken systems/objects in a way that is useful, repurposed, or aesthetically meaningful.
 1.000 0.454 1.000 Interview | chunk 16 | 8 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
LS_73 Speed solutions real-time in-conversation problem-solving
spike promoted
The ability to solve problems mentally and immediately during a conversation without needing external tools.
 0.999 0.875 0.999 Interview | chunk 3 | 15 supporting chunks | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..."
LS_85 Persuasion
spike promoted
The ability to frame ideas in relatable ways to convince others to take an action or adopt an opinion.
 0.997 0.360 0.997 Interview | chunk 17 | 6 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
LS_83 Expert-recommendations and 1-shot suggestions
spike promoted
The ability to provide context-aware, high-quality recommendations instantly by relying on deep long-term memory.
 0.996 0.799 0.996 Cover letter | chunk 20 | 13 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."

Spike-promoted atoms

IDLabelFinalAverageSpikeSupport
LS_78 Asking stupid unexpected questions 1.000 0.960 1.000 Interview | chunk 7 | 17 supporting chunks | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..."
LS_71 Wabi-sabi 1.000 0.454 1.000 Interview | chunk 16 | 8 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
LS_73 Speed solutions real-time in-conversation problem-solving 0.999 0.875 0.999 Interview | chunk 3 | 15 supporting chunks | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..."
LS_85 Persuasion 0.997 0.360 0.997 Interview | chunk 17 | 6 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
LS_83 Expert-recommendations and 1-shot suggestions 0.996 0.799 0.996 Cover letter | chunk 20 | 13 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."

Strong shifts across chunks

  • Chunk 1 (90 words) — Interview | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..." : LS_73 Speed solutions real-time in-conversation problem-solving (0.999) · LS_78 Asking stupid unexpected questions (0.972)
  • Chunk 2 (78 words) — Interview | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..." : LS_72 Improvisation (Jugaad) (0.982) · LS_71 Wabi-sabi (0.980) · LS_76 Tech innovation ideation (0.966)
  • Chunk 3 (78 words) — Interview | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..." : LS_73 Speed solutions real-time in-conversation problem-solving (0.999) · LS_78 Asking stupid unexpected questions (0.987)
  • Chunk 4 (81 words) — Interview | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..." : LS_83 Expert-recommendations and 1-shot suggestions (0.989)
  • Chunk 5 (95 words) — Interview | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..." : LS_85 Persuasion (0.983) · LS_72 Improvisation (Jugaad) (0.965) · LS_80 Unconventional storytelling (0.961)
  • Chunk 6 (80 words) — Interview | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..." : LS_72 Improvisation (Jugaad) (0.991) · LS_71 Wabi-sabi (0.987)
  • Chunk 7 (95 words) — Interview | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..." : LS_78 Asking stupid unexpected questions (1.000)
  • Chunk 8 (80 words) — Interview | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...." : LS_78 Asking stupid unexpected questions (0.998)
  • Chunk 9 (77 words) — Interview | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..." : LS_78 Asking stupid unexpected questions (1.000)
  • Chunk 10 (86 words) — Interview | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..." : LS_78 Asking stupid unexpected questions (1.000)
  • Chunk 11 (83 words) — Interview | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..." : LS_71 Wabi-sabi (0.995) · LS_83 Expert-recommendations and 1-shot suggestions (0.982)
  • Chunk 12 (79 words) — Interview | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..." : LS_78 Asking stupid unexpected questions (0.999)
  • Chunk 13 (88 words) — Interview | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...." : LS_78 Asking stupid unexpected questions (0.999)
  • Chunk 14 (82 words) — Interview | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..." : LS_73 Speed solutions real-time in-conversation problem-solving (0.997) · LS_78 Asking stupid unexpected questions (0.961)
  • Chunk 15 (78 words) — Interview | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..." : LS_73 Speed solutions real-time in-conversation problem-solving (0.990) · LS_71 Wabi-sabi (0.973) · LS_72 Improvisation (Jugaad) (0.972)
  • Chunk 16 (80 words) — Interview | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..." : LS_71 Wabi-sabi (1.000)
  • Chunk 17 (86 words) — Interview | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..." : LS_85 Persuasion (0.997)
  • Chunk 18 (86 words) — Interview | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..." : LS_73 Speed solutions real-time in-conversation problem-solving (0.974) · LS_76 Tech innovation ideation (0.964)
  • Chunk 19 (74 words) — Interview | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..." : LS_78 Asking stupid unexpected questions (0.995) · LS_73 Speed solutions real-time in-conversation problem-solving (0.981) · LS_83 Expert-recommendations and 1-shot suggestions (0.977)
  • Chunk 20 (65 words) — Cover letter | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..." : LS_83 Expert-recommendations and 1-shot suggestions (0.996) · LS_85 Persuasion (0.969)
  • Chunk 21 (81 words) — Cover letter | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..." : LS_78 Asking stupid unexpected questions (0.996) · LS_73 Speed solutions real-time in-conversation problem-solving (0.969)
  • Chunk 22 (69 words) — Cover letter | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..." : LS_83 Expert-recommendations and 1-shot suggestions (0.994) · LS_78 Asking stupid unexpected questions (0.973)
  • Chunk 23 (61 words) — Portfolio | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..." : LS_72 Improvisation (Jugaad) (0.986)
Full ranked list
RankIDLabelFinalAverageSpikeSupport
1 LS_78 Asking stupid unexpected questions 1.000 0.960 1.000 Interview | chunk 7 | 17 supporting chunks | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..."
2 LS_71 Wabi-sabi 1.000 0.454 1.000 Interview | chunk 16 | 8 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
3 LS_73 Speed solutions real-time in-conversation problem-solving 0.999 0.875 0.999 Interview | chunk 3 | 15 supporting chunks | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..."
4 LS_85 Persuasion 0.997 0.360 0.997 Interview | chunk 17 | 6 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
5 LS_83 Expert-recommendations and 1-shot suggestions 0.996 0.799 0.996 Cover letter | chunk 20 | 13 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
6 LS_72 Improvisation (Jugaad) 0.991 0.547 0.991 Interview | chunk 6 | 9 supporting chunks | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..."
7 LS_76 Tech innovation ideation 0.966 0.337 0.966 Interview | chunk 2 | 6 supporting chunks | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..."
8 LS_80 Unconventional storytelling 0.961 0.058 0.961 Interview | chunk 5 | 2 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
9 LS_77 Tech utilization initiative 0.472 0.472 0.952 Interview | chunk 15 | 8 supporting chunks | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..."
10 LS_75 Situational awareness and presence of mind (Nunchi) 0.137 0.137 0.907 clear evidence absent
11 LS_81 Creating first/lasting impressions 0.105 0.105 0.579 clear evidence absent
12 LS_79 Openness to outlandish absurd ideas 0.071 0.071 0.802 clear evidence absent
13 LS_84 Mood setting and mood management 0.049 0.049 0.416 clear evidence absent
14 LS_74 Aesthetic improvements 0.046 0.046 0.453 clear evidence absent
15 LS_82 Imagination escalation via conversation 0.043 0.043 0.787 clear evidence absent
Skills — foundations of your thought process23 chunks · spike 0.96
Low reliability This model looks low-confidence for this input. Too many atom scores are saturating at the top and bottom ends for the amount of evidence collected. 22/25 high-extreme atoms (>= 0.97), 0/25 low-extreme atoms (<= 0.03), 23 chunks, 1850 words.

Reliable top 5

ID Label FinalAverageSpike Support
LS_25 Curiosity
spike promoted
A domain-agnostic drive to ask significant questions and seek out answers independently or through others.
 1.000 0.963 1.000 Interview | chunk 12 | 18 supporting chunks | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..."
LS_17 Goal-creation
spike promoted
The skill of defining and operationalizing a problem-statement into clear goals with metrics for measuring success.
 1.000 0.851 1.000 Interview | chunk 13 | 15 supporting chunks | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...."
LS_51 Data-centric
spike promoted
Cognitive processing is occurs through data, numerical trends, and factual patterns.
 0.999 0.878 0.999 Interview | chunk 4 | 15 supporting chunks | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..."
LS_53 Non-linguistic symbolic thinking
spike promoted
Cognitive processing utilizes abstract, self-defined ideas and non-standard symbolic processes.
 0.999 0.532 0.999 Interview | chunk 5 | 9 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
LS_7 Procedural thinking
spike promoted
The skill to systematically develop algorithms, workflows, flowcharts, and logical sequences to reach a goal in an orderly, reproducible fashion.
 0.999 0.859 0.999 Interview | chunk 16 | 14 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."

Spike-promoted atoms

IDLabelFinalAverageSpikeSupport
LS_25 Curiosity 1.000 0.963 1.000 Interview | chunk 12 | 18 supporting chunks | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..."
LS_17 Goal-creation 1.000 0.851 1.000 Interview | chunk 13 | 15 supporting chunks | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...."
LS_51 Data-centric 0.999 0.878 0.999 Interview | chunk 4 | 15 supporting chunks | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..."
LS_53 Non-linguistic symbolic thinking 0.999 0.532 0.999 Interview | chunk 5 | 9 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
LS_7 Procedural thinking 0.999 0.859 0.999 Interview | chunk 16 | 14 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."

Strong shifts across chunks

  • Chunk 1 (90 words) — Interview | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..." : LS_25 Curiosity (0.997) · LS_14 Real-time problem-solving (0.968)
  • Chunk 2 (78 words) — Interview | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..." : LS_5 Goal-driven interaction (0.998) · LS_1 Abstraction capacity (0.997)
  • Chunk 3 (78 words) — Interview | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..." : LS_22 Self-monitoring (0.982) · LS_24 Feedback adaptibility (0.978) · LS_21 Self-reflection (0.977) · LS_23 Post-conversation analysis (0.974)
  • Chunk 4 (81 words) — Interview | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..." : LS_51 Data-centric (0.999) · LS_17 Goal-creation (0.961)
  • Chunk 5 (95 words) — Interview | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..." : LS_53 Non-linguistic symbolic thinking (0.999) · LS_51 Data-centric (0.990) · LS_3 Interpersonal thought alignment (0.974)
  • Chunk 6 (80 words) — Interview | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..." : LS_7 Procedural thinking (0.997) · LS_21 Self-reflection (0.995) · LS_17 Goal-creation (0.984) · LS_2 Long-term conceptualization (0.980) · LS_6 Cross-domain integration (0.973)
  • Chunk 7 (95 words) — Interview | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..." : LS_7 Procedural thinking (0.998) · LS_25 Curiosity (0.997)
  • Chunk 8 (80 words) — Interview | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...." : LS_25 Curiosity (1.000) · LS_21 Self-reflection (0.963)
  • Chunk 9 (77 words) — Interview | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..." : LS_21 Self-reflection (0.999) · LS_24 Feedback adaptibility (0.998) · LS_25 Curiosity (0.997) · LS_23 Post-conversation analysis (0.979) · LS_22 Self-monitoring (0.971)
  • Chunk 10 (86 words) — Interview | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..." : LS_25 Curiosity (0.981) · LS_21 Self-reflection (0.978) · LS_51 Data-centric (0.970)
  • Chunk 11 (83 words) — Interview | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..." : LS_25 Curiosity (0.998) · LS_24 Feedback adaptibility (0.995) · LS_5 Goal-driven interaction (0.985) · LS_1 Abstraction capacity (0.984) · LS_51 Data-centric (0.984)
  • Chunk 12 (79 words) — Interview | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..." : LS_25 Curiosity (1.000)
  • Chunk 13 (88 words) — Interview | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...." : LS_17 Goal-creation (1.000) · LS_7 Procedural thinking (0.995)
  • Chunk 14 (82 words) — Interview | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..." : LS_4 Contextual adaptability (0.991) · LS_14 Real-time problem-solving (0.988) · LS_15 Cognitive flexibility (0.983)
  • Chunk 15 (78 words) — Interview | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..." : LS_14 Real-time problem-solving (0.995) · LS_22 Self-monitoring (0.990) · LS_24 Feedback adaptibility (0.982) · LS_21 Self-reflection (0.966)
  • Chunk 16 (80 words) — Interview | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..." : LS_7 Procedural thinking (0.999) · LS_5 Goal-driven interaction (0.998)
  • Chunk 17 (86 words) — Interview | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..." : LS_51 Data-centric (0.996) · LS_3 Interpersonal thought alignment (0.991) · LS_25 Curiosity (0.972) · LS_1 Abstraction capacity (0.972)
  • Chunk 18 (86 words) — Interview | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..." : LS_7 Procedural thinking (0.997) · LS_14 Real-time problem-solving (0.992) · LS_25 Curiosity (0.975) · LS_17 Goal-creation (0.961)
  • Chunk 19 (74 words) — Interview | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..." : LS_25 Curiosity (0.999) · LS_5 Goal-driven interaction (0.996) · LS_24 Feedback adaptibility (0.983) · LS_1 Abstraction capacity (0.978)
  • Chunk 20 (65 words) — Cover letter | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..." : LS_0 Big vision-oriented thinking (0.999) · LS_2 Long-term conceptualization (0.992) · LS_6 Cross-domain integration (0.991) · LS_21 Self-reflection (0.966)
  • Chunk 21 (81 words) — Cover letter | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..." : LS_6 Cross-domain integration (0.984) · LS_25 Curiosity (0.963) · LS_21 Self-reflection (0.963)
  • Chunk 22 (69 words) — Cover letter | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..." : LS_51 Data-centric (0.999) · LS_52 Mental-model-centric (0.995) · LS_54 Ungodly pattern recognition (0.992) · LS_3 Interpersonal thought alignment (0.981) · LS_17 Goal-creation (0.979)
  • Chunk 23 (61 words) — Portfolio | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..." : LS_51 Data-centric (0.979)
Full ranked list
RankIDLabelFinalAverageSpikeSupport
1 LS_25 Curiosity 1.000 0.963 1.000 Interview | chunk 12 | 18 supporting chunks | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..."
2 LS_17 Goal-creation 1.000 0.851 1.000 Interview | chunk 13 | 15 supporting chunks | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...."
3 LS_51 Data-centric 0.999 0.878 0.999 Interview | chunk 4 | 15 supporting chunks | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..."
4 LS_53 Non-linguistic symbolic thinking 0.999 0.532 0.999 Interview | chunk 5 | 9 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
5 LS_7 Procedural thinking 0.999 0.859 0.999 Interview | chunk 16 | 14 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
6 LS_0 Big vision-oriented thinking 0.999 0.285 0.999 Cover letter | chunk 20 | 4 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
7 LS_21 Self-reflection 0.999 0.878 0.999 Interview | chunk 9 | 17 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
8 LS_5 Goal-driven interaction 0.998 0.814 0.998 Interview | chunk 2 | 14 supporting chunks | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..."
9 LS_24 Feedback adaptibility 0.998 0.802 0.998 Interview | chunk 9 | 15 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
10 LS_1 Abstraction capacity 0.997 0.707 0.997 Interview | chunk 2 | 15 supporting chunks | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..."
11 LS_14 Real-time problem-solving 0.995 0.774 0.995 Interview | chunk 15 | 13 supporting chunks | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..."
12 LS_52 Mental-model-centric 0.995 0.605 0.995 Cover letter | chunk 22 | 12 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
13 LS_54 Ungodly pattern recognition 0.992 0.555 0.992 Cover letter | chunk 22 | 12 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
14 LS_2 Long-term conceptualization 0.992 0.518 0.992 Cover letter | chunk 20 | 9 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
15 LS_3 Interpersonal thought alignment 0.991 0.640 0.991 Interview | chunk 17 | 9 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
16 LS_4 Contextual adaptability 0.991 0.387 0.991 Interview | chunk 14 | 5 supporting chunks | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..."
17 LS_6 Cross-domain integration 0.991 0.628 0.991 Cover letter | chunk 20 | 12 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
18 LS_22 Self-monitoring 0.990 0.694 0.990 Interview | chunk 15 | 11 supporting chunks | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..."
19 LS_15 Cognitive flexibility 0.983 0.119 0.983 Interview | chunk 14 | 2 supporting chunks | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..."
20 LS_27 Realistically bound imagination 0.979 0.703 0.979 Interview | chunk 11 | 13 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."
21 LS_23 Post-conversation analysis 0.979 0.283 0.979 Interview | chunk 9 | 5 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
22 LS_50 Language-centric 0.979 0.577 0.979 Interview | chunk 11 | 9 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."
23 LS_16 Real-time theory building 0.525 0.525 0.954 Interview | chunk 18 | 11 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
24 LS_28 Creatively integrated imagination 0.192 0.192 0.768 clear evidence absent
25 LS_26 Fantastical imagination 0.052 0.052 0.607 clear evidence absent
Skills — hands-on & physical23 chunks · spike 0.96
Low reliability This model looks low-confidence for this input. Too many atom scores are saturating at the top and bottom ends for the amount of evidence collected. 29/46 high-extreme atoms (>= 0.97), 10/46 low-extreme atoms (<= 0.03), 23 chunks, 1850 words.

Reliable top 5

ID Label FinalAverageSpike Support
LS_20 Certainty conversion
spike promoted
The creative ability to transform uncertain scenarios into structured problem spaces with tangible solutions using reference frames.
 1.000 0.760 1.000 Cover letter | chunk 21 | 13 supporting chunks | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..."
LS_56 Rigid boundary thinking
spike promoted
Acquires concepts with strict technical definitions and adheres to them precisely.
 1.000 0.926 1.000 Interview | chunk 7 | 18 supporting chunks | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..."
LS_32 Expertise
spike promoted
The presence of deep, comprehensive expertise in a specific professional domain.
 1.000 0.312 1.000 Cover letter | chunk 22 | 7 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
LS_69 Quantity-oriented
spike promoted
Performance is driven by high-speed output and volume.
 1.000 0.094 1.000 Interview | chunk 18 | 3 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
LS_9 Empathy-driven collaboration
spike promoted
An implicit approach to reaching goals by fostering deep empathy and prioritizing collective effort over individual output.
 1.000 0.143 1.000 Interview | chunk 17 | 5 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."

Spike-promoted atoms

IDLabelFinalAverageSpikeSupport
LS_20 Certainty conversion 1.000 0.760 1.000 Cover letter | chunk 21 | 13 supporting chunks | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..."
LS_56 Rigid boundary thinking 1.000 0.926 1.000 Interview | chunk 7 | 18 supporting chunks | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..."
LS_32 Expertise 1.000 0.312 1.000 Cover letter | chunk 22 | 7 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
LS_69 Quantity-oriented 1.000 0.094 1.000 Interview | chunk 18 | 3 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
LS_9 Empathy-driven collaboration 1.000 0.143 1.000 Interview | chunk 17 | 5 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."

Strong shifts across chunks

  • Chunk 1 (90 words) — Interview | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..." : LS_47 Task-focused (0.996) · LS_59 Flexible attention (0.994) · LS_66 Process-oriented (0.989) · LS_12 Efficiency prioritization (0.978) · LS_56 Rigid boundary thinking (0.973)
  • Chunk 2 (78 words) — Interview | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..." : LS_12 Efficiency prioritization (1.000) · LS_13 Deconstructive Innovation curiosity (0.994) · LS_20 Certainty conversion (0.978)
  • Chunk 3 (78 words) — Interview | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..." : LS_36 Free thinking with decision-making (0.996) · LS_67 Result-oriented (0.996) · LS_66 Process-oriented (0.992) · LS_56 Rigid boundary thinking (0.981)
  • Chunk 4 (81 words) — Interview | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..." : LS_56 Rigid boundary thinking (1.000) · LS_68 Quality-oriented (0.962)
  • Chunk 5 (95 words) — Interview | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..." : LS_33 Niche knowledge (1.000) · LS_36 Free thinking with decision-making (0.999) · LS_64 Independent-individualistic excellence (0.996) · LS_29 Verbal articulation (0.973)
  • Chunk 6 (80 words) — Interview | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..." : LS_20 Certainty conversion (1.000) · LS_45 Blank canvas approach (0.997)
  • Chunk 7 (95 words) — Interview | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..." : LS_56 Rigid boundary thinking (1.000)
  • Chunk 8 (80 words) — Interview | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...." : LS_48 Behavior analysis (0.999) · LS_66 Process-oriented (0.994) · LS_12 Efficiency prioritization (0.986) · LS_64 Independent-individualistic excellence (0.980) · LS_19 Control over certainty (0.968)
  • Chunk 9 (77 words) — Interview | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..." : LS_36 Free thinking with decision-making (1.000) · LS_64 Independent-individualistic excellence (0.998) · LS_13 Deconstructive Innovation curiosity (0.992)
  • Chunk 10 (86 words) — Interview | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..." : LS_45 Blank canvas approach (1.000) · LS_20 Certainty conversion (0.995) · LS_35 Rigid focus (0.991) · LS_36 Free thinking with decision-making (0.988) · LS_56 Rigid boundary thinking (0.974)
  • Chunk 11 (83 words) — Interview | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..." : LS_68 Quality-oriented (1.000) · LS_56 Rigid boundary thinking (0.998)
  • Chunk 12 (79 words) — Interview | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..." : LS_56 Rigid boundary thinking (0.997) · LS_11 Tool-driven mindset (0.988) · LS_19 Control over certainty (0.987) · LS_44 Available tools (0.981)
  • Chunk 13 (88 words) — Interview | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...." : LS_18 Control over ambiguity (0.998) · LS_40 Finishes work (0.994) · LS_20 Certainty conversion (0.976)
  • Chunk 14 (82 words) — Interview | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..." : LS_35 Rigid focus (0.999) · LS_36 Free thinking with decision-making (0.996) · LS_70 Time-space-oriented (0.985)
  • Chunk 15 (78 words) — Interview | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..." : LS_37 Instruction and protocol mastery (0.999) · LS_19 Control over certainty (0.997) · LS_66 Process-oriented (0.992)
  • Chunk 16 (80 words) — Interview | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..." : LS_20 Certainty conversion (0.970) · LS_18 Control over ambiguity (0.968)
  • Chunk 17 (86 words) — Interview | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..." : LS_9 Empathy-driven collaboration (1.000) · LS_45 Blank canvas approach (0.994) · LS_20 Certainty conversion (0.984) · LS_40 Finishes work (0.983) · LS_67 Result-oriented (0.980)
  • Chunk 18 (86 words) — Interview | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..." : LS_69 Quantity-oriented (1.000) · LS_56 Rigid boundary thinking (0.999) · LS_47 Task-focused (0.996) · LS_67 Result-oriented (0.993) · LS_12 Efficiency prioritization (0.984)
  • Chunk 19 (74 words) — Interview | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..." : LS_40 Finishes work (1.000) · LS_68 Quality-oriented (0.996) · LS_56 Rigid boundary thinking (0.974)
  • Chunk 20 (65 words) — Cover letter | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..." : LS_42 Trust inspiring (1.000) · LS_40 Finishes work (0.999) · LS_9 Empathy-driven collaboration (0.996) · LS_36 Free thinking with decision-making (0.996) · LS_8 Interpersonal warmth (0.994)
  • Chunk 21 (81 words) — Cover letter | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..." : LS_20 Certainty conversion (1.000) · LS_13 Deconstructive Innovation curiosity (0.997) · LS_40 Finishes work (0.972)
  • Chunk 22 (69 words) — Cover letter | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..." : LS_32 Expertise (1.000) · LS_47 Task-focused (0.995) · LS_70 Time-space-oriented (0.993) · LS_61 Gross motor dexterity (0.986) · LS_12 Efficiency prioritization (0.977)
  • Chunk 23 (61 words) — Portfolio | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..." : LS_64 Independent-individualistic excellence (1.000)
Full ranked list
RankIDLabelFinalAverageSpikeSupport
1 LS_20 Certainty conversion 1.000 0.760 1.000 Cover letter | chunk 21 | 13 supporting chunks | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..."
2 LS_56 Rigid boundary thinking 1.000 0.926 1.000 Interview | chunk 7 | 18 supporting chunks | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..."
3 LS_32 Expertise 1.000 0.312 1.000 Cover letter | chunk 22 | 7 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
4 LS_69 Quantity-oriented 1.000 0.094 1.000 Interview | chunk 18 | 3 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
5 LS_9 Empathy-driven collaboration 1.000 0.143 1.000 Interview | chunk 17 | 5 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
6 LS_64 Independent-individualistic excellence 1.000 0.393 1.000 Portfolio | chunk 23 | 10 supporting chunks | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."
7 LS_36 Free thinking with decision-making 1.000 0.645 1.000 Interview | chunk 9 | 10 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
8 LS_40 Finishes work 1.000 0.536 1.000 Interview | chunk 19 | 10 supporting chunks | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..."
9 LS_68 Quality-oriented 1.000 0.471 1.000 Interview | chunk 11 | 10 supporting chunks | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..."
10 LS_12 Efficiency prioritization 1.000 0.457 1.000 Interview | chunk 2 | 10 supporting chunks | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..."
11 LS_33 Niche knowledge 1.000 0.069 1.000 Interview | chunk 5 | 4 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
12 LS_45 Blank canvas approach 1.000 0.278 1.000 Interview | chunk 10 | 9 supporting chunks | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..."
13 LS_42 Trust inspiring 1.000 0.205 1.000 Cover letter | chunk 20 | 8 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
14 LS_48 Behavior analysis 0.999 0.192 0.999 Interview | chunk 8 | 6 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
15 LS_37 Instruction and protocol mastery 0.999 0.082 0.999 Interview | chunk 15 | 2 supporting chunks | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..."
16 LS_35 Rigid focus 0.999 0.242 0.999 Interview | chunk 14 | 9 supporting chunks | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..."
17 LS_18 Control over ambiguity 0.998 0.356 0.998 Interview | chunk 13 | 8 supporting chunks | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...."
18 LS_13 Deconstructive Innovation curiosity 0.997 0.294 0.997 Cover letter | chunk 21 | 7 supporting chunks | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..."
19 LS_19 Control over certainty 0.997 0.463 0.997 Interview | chunk 15 | 12 supporting chunks | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..."
20 LS_47 Task-focused 0.996 0.425 0.996 Interview | chunk 1 | 10 supporting chunks | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..."
21 LS_67 Result-oriented 0.996 0.405 0.996 Interview | chunk 3 | 9 supporting chunks | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..."
22 LS_59 Flexible attention 0.994 0.034 0.994 Interview | chunk 1 | 3 supporting chunks | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..."
23 LS_66 Process-oriented 0.994 0.492 0.994 Interview | chunk 8 | 10 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
24 LS_8 Interpersonal warmth 0.994 0.071 0.994 Cover letter | chunk 20 | 3 supporting chunks | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..."
25 LS_70 Time-space-oriented 0.993 0.186 0.993 Cover letter | chunk 22 | 7 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
26 LS_11 Tool-driven mindset 0.988 0.114 0.988 Interview | chunk 12 | 5 supporting chunks | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..."
27 LS_61 Gross motor dexterity 0.986 0.028 0.986 Cover letter | chunk 22 | 2 supporting chunks | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..."
28 LS_44 Available tools 0.981 0.165 0.981 Interview | chunk 12 | 5 supporting chunks | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..."
29 LS_29 Verbal articulation 0.973 0.083 0.973 Interview | chunk 5 | 3 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
30 LS_34 Accommodating attitude 0.135 0.135 0.879 clear evidence absent
31 LS_57 Predominantly narrow attention 0.108 0.108 0.865 clear evidence absent
32 LS_62 Walking and travel strain 0.082 0.082 0.938 clear evidence absent
33 LS_38 Begins task 0.062 0.062 0.888 clear evidence absent
34 LS_41 Balance restoring 0.045 0.045 0.744 clear evidence absent
35 LS_31 Emotion articulation 0.043 0.043 0.936 clear evidence absent
36 LS_49 Depth and breadth of varied social experiences 0.038 0.038 0.954 clear evidence absent
37 LS_63 Fitness demanding 0.028 0.028 0.899 clear evidence absent
38 LS_55 Fuzzy boundary thinking 0.025 0.025 0.732 clear evidence absent
39 LS_60 Fine motor dexterity 0.025 0.025 0.657 clear evidence absent
40 LS_65 Collaborative-Team excellence 0.025 0.025 0.956 clear evidence absent
41 LS_58 Predominantly wide attention 0.023 0.023 0.942 clear evidence absent
42 LS_30 Visual articulation 0.018 0.018 0.914 clear evidence absent
43 LS_10 Social curiosity 0.011 0.011 0.735 clear evidence absent
44 LS_39 Improves work 0.010 0.010 0.500 clear evidence absent
45 LS_43 Multi-stimulus 0.008 0.008 0.844 clear evidence absent
46 LS_46 Social scaffolding 0.004 0.004 0.797 clear evidence absent

Behaviors (PT)

Observable style signals in how the person tends to act, respond, and work.

Behaviors — style set A23 chunks · spike 0.70
High reliability This model stayed within a normal score range for the amount of evidence collected. 0/18 high-extreme atoms (>= 0.97), 11/18 low-extreme atoms (<= 0.08), 23 chunks, 1850 words.

Reliable top 5

ID Label FinalAverageSpike Support
PT_1_low Need for cognition (low)
spike promoted
Prefers to do something familiar without too much creative or novel thinking. Does not seek challenges. Does the minimum requirement.
 0.963 0.385 0.963 Interview | chunk 18 | 7 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
PT_0_low Tolerance for uncertainty (low)
spike promoted
Needs to know what is happening next in class or what comes in the exam. Effort goes into planning and seek more information regularly. High curiousity, anxiety.
 0.945 0.241 0.945 Interview | chunk 8 | 5 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
PT_3_low Autotelic personality (low)
spike promoted
Needs external motivation like marks, rewards, praise to stay motivated. Ferquently questions the prupose of doing something if there are no rewards. Needs to find good reasons to learn and study.
 0.931 0.224 0.931 Interview | chunk 17 | 4 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
PT_3_high Autotelic personality (high)
spike promoted
Motivated to do things on their own. Finds joy in learning without marks as the end goal. Enjoys many learning activities and challenges.
 0.767 0.051 0.767 Portfolio | chunk 23 | 1 supporting chunk | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."
PT_8_low Need for achievement (low)
Satisfied with low or medicore performance. Stops effort after reaching average goals.
 0.102 0.102 0.558 clear evidence absent

Spike-promoted atoms

IDLabelFinalAverageSpikeSupport
PT_1_low Need for cognition (low) 0.963 0.385 0.963 Interview | chunk 18 | 7 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
PT_0_low Tolerance for uncertainty (low) 0.945 0.241 0.945 Interview | chunk 8 | 5 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
PT_3_low Autotelic personality (low) 0.931 0.224 0.931 Interview | chunk 17 | 4 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
PT_3_high Autotelic personality (high) 0.767 0.051 0.767 Portfolio | chunk 23 | 1 supporting chunk | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."

Strong shifts across chunks

  • Chunk 3 (78 words) — Interview | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..." : PT_3_low Autotelic personality (low) (0.824)
  • Chunk 4 (81 words) — Interview | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..." : PT_0_low Tolerance for uncertainty (low) (0.765)
  • Chunk 5 (95 words) — Interview | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..." : PT_3_low Autotelic personality (low) (0.750)
  • Chunk 6 (80 words) — Interview | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..." : PT_1_low Need for cognition (low) (0.774)
  • Chunk 8 (80 words) — Interview | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...." : PT_0_low Tolerance for uncertainty (low) (0.945)
  • Chunk 10 (86 words) — Interview | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..." : PT_0_low Tolerance for uncertainty (low) (0.811)
  • Chunk 12 (79 words) — Interview | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..." : PT_0_low Tolerance for uncertainty (low) (0.923)
  • Chunk 13 (88 words) — Interview | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...." : PT_3_low Autotelic personality (low) (0.801)
  • Chunk 14 (82 words) — Interview | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..." : PT_1_low Need for cognition (low) (0.845)
  • Chunk 15 (78 words) — Interview | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..." : PT_1_low Need for cognition (low) (0.857)
  • Chunk 16 (80 words) — Interview | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..." : PT_1_low Need for cognition (low) (0.866)
  • Chunk 17 (86 words) — Interview | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..." : PT_3_low Autotelic personality (low) (0.931)
  • Chunk 18 (86 words) — Interview | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..." : PT_1_low Need for cognition (low) (0.963)
  • Chunk 22 (69 words) — Cover letter | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..." : PT_0_low Tolerance for uncertainty (low) (0.857)
  • Chunk 23 (61 words) — Portfolio | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..." : PT_3_high Autotelic personality (high) (0.767)
Full ranked list
RankIDLabelFinalAverageSpikeSupport
1 PT_1_low Need for cognition (low) 0.963 0.385 0.963 Interview | chunk 18 | 7 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
2 PT_0_low Tolerance for uncertainty (low) 0.945 0.241 0.945 Interview | chunk 8 | 5 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
3 PT_3_low Autotelic personality (low) 0.931 0.224 0.931 Interview | chunk 17 | 4 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
4 PT_3_high Autotelic personality (high) 0.767 0.051 0.767 Portfolio | chunk 23 | 1 supporting chunk | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."
5 PT_8_low Need for achievement (low) 0.102 0.102 0.558 clear evidence absent
6 PT_5_low Social Value Orientation (low) 0.098 0.098 0.609 clear evidence absent
7 PT_0_high Tolerance for uncertainty (high) 0.086 0.086 0.595 clear evidence absent
8 PT_7_high Grit (high) 0.078 0.078 0.414 clear evidence absent
9 PT_6_low Interpersonal reflective index (low) 0.055 0.055 0.343 clear evidence absent
10 PT_1_high Need for cognition (high) 0.049 0.049 0.617 clear evidence absent
11 PT_2_low Sensation seeking (low) 0.048 0.048 0.247 clear evidence absent
12 PT_7_low Grit (low) 0.020 0.020 0.504 clear evidence absent
13 PT_8_high Need for achievement (high) 0.018 0.018 0.245 clear evidence absent
14 PT_4_low Sensory processing sensitivity (low) 0.017 0.017 0.230 clear evidence absent
15 PT_4_high Sensory processing sensitivity (high) 0.011 0.011 0.076 clear evidence absent
16 PT_2_high Sensation seeking (high) 0.008 0.008 0.098 clear evidence absent
17 PT_5_high Social Value Orientation (high) 0.006 0.006 0.075 clear evidence absent
18 PT_6_high Interpersonal reflective index (high) 0.005 0.005 0.054 clear evidence absent
Behaviors — style set B23 chunks · spike 0.70
High reliability This model stayed within a normal score range for the amount of evidence collected. 1/10 high-extreme atoms (>= 0.97), 6/10 low-extreme atoms (<= 0.08), 23 chunks, 1850 words.

Reliable top 5

ID Label FinalAverageSpike Support
PT_11_low Agreeableness (low)
spike promoted
More competitive or skeptical. Stubborn, suspicious, Insulting and belittling others.
 0.993 0.539 0.993 Interview | chunk 17 | 9 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
PT_10_low Openness to experience (low)
spike promoted
Prefers routine and tradition. Uncomfortable with change. Values practicality over novelty.
 0.875 0.446 0.875 Interview | chunk 16 | 11 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
PT_9_low Conscentiousness (low)
spike promoted
Does not show much organization and planning. Has low attention to detail and lacks overall discipline.
 0.742 0.205 0.742 Interview | chunk 1 | 2 supporting chunks | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..."
PT_9_high Conscentiousness (high)
spike promoted
Tends to show great discipline and organization skills. Is able to pay attention to detail and plan well.
 0.725 0.048 0.725 Portfolio | chunk 23 | 1 supporting chunk | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."
PT_13_low Neuroticism (low)
Can easily manage negative emotions and shows minimal worry, anxiety, and tension.
 0.050 0.050 0.256 clear evidence absent

Spike-promoted atoms

IDLabelFinalAverageSpikeSupport
PT_11_low Agreeableness (low) 0.993 0.539 0.993 Interview | chunk 17 | 9 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
PT_10_low Openness to experience (low) 0.875 0.446 0.875 Interview | chunk 16 | 11 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
PT_9_low Conscentiousness (low) 0.742 0.205 0.742 Interview | chunk 1 | 2 supporting chunks | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..."
PT_9_high Conscentiousness (high) 0.725 0.048 0.725 Portfolio | chunk 23 | 1 supporting chunk | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."

Strong shifts across chunks

  • Chunk 1 (90 words) — Interview | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..." : PT_9_low Conscentiousness (low) (0.742)
  • Chunk 3 (78 words) — Interview | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..." : PT_11_low Agreeableness (low) (0.923) · PT_10_low Openness to experience (low) (0.719)
  • Chunk 4 (81 words) — Interview | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..." : PT_10_low Openness to experience (low) (0.759)
  • Chunk 5 (95 words) — Interview | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..." : PT_11_low Agreeableness (low) (0.826)
  • Chunk 6 (80 words) — Interview | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..." : PT_10_low Openness to experience (low) (0.775)
  • Chunk 7 (95 words) — Interview | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..." : PT_10_low Openness to experience (low) (0.755)
  • Chunk 8 (80 words) — Interview | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...." : PT_11_low Agreeableness (low) (0.950)
  • Chunk 10 (86 words) — Interview | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..." : PT_10_low Openness to experience (low) (0.866)
  • Chunk 12 (79 words) — Interview | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..." : PT_11_low Agreeableness (low) (0.951)
  • Chunk 15 (78 words) — Interview | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..." : PT_10_low Openness to experience (low) (0.851)
  • Chunk 16 (80 words) — Interview | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..." : PT_10_low Openness to experience (low) (0.875)
  • Chunk 17 (86 words) — Interview | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..." : PT_11_low Agreeableness (low) (0.993)
  • Chunk 18 (86 words) — Interview | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..." : PT_10_low Openness to experience (low) (0.777)
  • Chunk 19 (74 words) — Interview | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..." : PT_11_low Agreeableness (low) (0.809)
  • Chunk 23 (61 words) — Portfolio | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..." : PT_9_high Conscentiousness (high) (0.725)
Full ranked list
RankIDLabelFinalAverageSpikeSupport
1 PT_11_low Agreeableness (low) 0.993 0.539 0.993 Interview | chunk 17 | 9 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
2 PT_10_low Openness to experience (low) 0.875 0.446 0.875 Interview | chunk 16 | 11 supporting chunks | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..."
3 PT_9_low Conscentiousness (low) 0.742 0.205 0.742 Interview | chunk 1 | 2 supporting chunks | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..."
4 PT_9_high Conscentiousness (high) 0.725 0.048 0.725 Portfolio | chunk 23 | 1 supporting chunk | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."
5 PT_13_low Neuroticism (low) 0.050 0.050 0.256 clear evidence absent
6 PT_13_high Neuroticism (high) 0.022 0.022 0.202 clear evidence absent
7 PT_12_low Extraversion (low) 0.020 0.020 0.638 clear evidence absent
8 PT_12_high Extraversion (high) 0.013 0.013 0.039 clear evidence absent
9 PT_10_high Openness to experience (high) 0.010 0.010 0.568 clear evidence absent
10 PT_11_high Agreeableness (high) 0.009 0.009 0.490 clear evidence absent

Motivations (SM)

Drivers and meaning-making patterns that appear in the input.

Motivations — what drives you23 chunks · spike 0.70
High reliability This model stayed within a normal score range for the amount of evidence collected. 2/24 high-extreme atoms (>= 0.97), 0/24 low-extreme atoms (<= 0.08), 23 chunks, 1850 words.

Reliable top 5

ID Label FinalAverageSpike Support
SM_16 Stress Testing & Vulnerability Discovery
spike promoted
Motivation to find holes and improvements by figuring out what breaks to make it more robust.
 0.987 0.781 0.987 Interview | chunk 8 | 13 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
SM_17 Gratification Sourcing
spike promoted
Motivation to work simply because it brings personal gratification or allows the privilege of seeking personal gratification while working.
 0.985 0.295 0.985 Interview | chunk 9 | 3 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
SM_11 Collaborative Motivation
spike promoted
Motivation emerging from a sense of working together and helping each other out.
 0.968 0.129 0.968 Interview | chunk 17 | 2 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
SM_9 Positivity Deliverance
spike promoted
Motivation to use a skill or a creation to bring people joy or happiness of some sort, including quick gratification or long-term positive impact.
 0.957 0.144 0.957 Interview | chunk 9 | 1 supporting chunk | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
SM_14 Prestige & Legacy
spike promoted
Motivation toward building a reputation, achieving mastery for external recognition, or leaving behind a significant mark or legacy in one's field.
 0.937 0.326 0.937 Interview | chunk 19 | 4 supporting chunks | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..."

Spike-promoted atoms

IDLabelFinalAverageSpikeSupport
SM_16 Stress Testing & Vulnerability Discovery 0.987 0.781 0.987 Interview | chunk 8 | 13 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
SM_17 Gratification Sourcing 0.985 0.295 0.985 Interview | chunk 9 | 3 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
SM_11 Collaborative Motivation 0.968 0.129 0.968 Interview | chunk 17 | 2 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
SM_9 Positivity Deliverance 0.957 0.144 0.957 Interview | chunk 9 | 1 supporting chunk | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
SM_14 Prestige & Legacy 0.937 0.326 0.937 Interview | chunk 19 | 4 supporting chunks | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..."

Strong shifts across chunks

  • Chunk 1 (90 words) — Interview | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..." : SM_16 Stress Testing & Vulnerability Discovery (0.730) · SM_19 Sacrificial Saving (0.722)
  • Chunk 2 (78 words) — Interview | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..." : SM_16 Stress Testing & Vulnerability Discovery (0.979) · SM_8 Resilience & Adaptation (0.885) · SM_10 Waypower Hope (0.772)
  • Chunk 3 (78 words) — Interview | "Eventually the controls told me the method was the problem, not the hypothesis. Yes — the fifth design finally showed a clean signal and I found the mechanism. But honestly the..." : SM_16 Stress Testing & Vulnerability Discovery (0.978) · SM_0 Exploration & Discovery (0.859)
  • Chunk 4 (81 words) — Interview | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..." : SM_16 Stress Testing & Vulnerability Discovery (0.977) · SM_5 Compliance & Policy Alignment (0.822) · SM_12 Individualistic Motivation (0.809)
  • Chunk 5 (95 words) — Interview | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..." : SM_0 Exploration & Discovery (0.879) · SM_2 Uncertainty Reduction (0.845) · SM_1 Story-building (0.739) · SM_17 Gratification Sourcing (0.720)
  • Chunk 6 (80 words) — Interview | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..." : SM_13 Incentive Motivation (0.889) · SM_14 Prestige & Legacy (0.818) · SM_22 Transgenerational Elevation (0.790)
  • Chunk 7 (95 words) — Interview | "I find the foundational sources, build a mental model, then learn the rest by doing a real project. I taught myself most of my coding that way, driven by an actual analysis I ne..." : SM_6 Status Quo Challenging (0.838) · SM_5 Compliance & Policy Alignment (0.757) · SM_12 Individualistic Motivation (0.743)
  • Chunk 8 (80 words) — Interview | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...." : SM_16 Stress Testing & Vulnerability Discovery (0.987)
  • Chunk 9 (77 words) — Interview | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..." : SM_17 Gratification Sourcing (0.985) · SM_9 Positivity Deliverance (0.957) · SM_22 Transgenerational Elevation (0.905)
  • Chunk 10 (86 words) — Interview | "I ask what's the cheapest thing that would meaningfully update my belief, and do that first. You rarely get the perfect experiment even in science — resources are finite. I've l..." : SM_16 Stress Testing & Vulnerability Discovery (0.791)
  • Chunk 11 (83 words) — Interview | "Untangling a confusing problem or a messy dataset, and telling them honestly whether a result holds up. I'm the friend who reads your logic and finds the hole gently. People tru..." : SM_16 Stress Testing & Vulnerability Discovery (0.775) · SM_5 Compliance & Policy Alignment (0.746)
  • Chunk 12 (79 words) — Interview | "Judgment about which question is worth asking, and the skepticism to know when a clean-looking result is actually an artifact. It'll produce confident nonsense. Someone with tra..." : SM_16 Stress Testing & Vulnerability Discovery (0.986) · SM_12 Individualistic Motivation (0.768)
  • Chunk 13 (88 words) — Interview | "Hard ambiguous problems, freedom to challenge ideas on merit, real use of data and rigor, some element of developing people or explaining things, and a domain I can believe in...." : SM_2 Uncertainty Reduction (0.811) · SM_13 Incentive Motivation (0.752)
  • Chunk 14 (82 words) — Interview | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..." : SM_8 Resilience & Adaptation (0.851) · SM_20 Consistency & Equilibrium (0.798) · SM_21 Dynamic Variance & Flux (0.779)
  • Chunk 15 (78 words) — Interview | "A negative result honestly reported is still real knowledge, and I said so. I've been wrong in lab meetings plenty, and I try to treat it as the system working — someone caught..." : SM_16 Stress Testing & Vulnerability Discovery (0.986)
  • Chunk 16 (80 words) — Interview | "Unprompted, I rewrote it into a clear step-by-step guide with the failure points flagged. It wasn't my job, but it saved the whole group hours and cut mistakes. I can't leave a..." : SM_16 Stress Testing & Vulnerability Discovery (0.893)
  • Chunk 17 (86 words) — Interview | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..." : SM_11 Collaborative Motivation (0.968) · SM_16 Stress Testing & Vulnerability Discovery (0.934)
  • Chunk 18 (86 words) — Interview | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..." : SM_12 Individualistic Motivation (0.892) · SM_17 Gratification Sourcing (0.755) · SM_6 Status Quo Challenging (0.743)
  • Chunk 19 (74 words) — Interview | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..." : SM_14 Prestige & Legacy (0.937)
  • Chunk 20 (65 words) — Cover letter | "I've just finished six years and a PhD in molecular biology, and I've realized I love the science but not the academic career waiting at the end of it. I'm writing this less as..." : SM_14 Prestige & Legacy (0.764) · SM_1 Story-building (0.708)
  • Chunk 21 (81 words) — Cover letter | "What a PhD actually taught me isn't a list of techniques — it's how to take a question no one has answered, break it into testable pieces, and grind through years of things not..." : SM_16 Stress Testing & Vulnerability Discovery (0.909) · SM_8 Resilience & Adaptation (0.761) · SM_10 Waypower Hope (0.710)
  • Chunk 22 (69 words) — Cover letter | "I can also explain complex things to people who aren't experts — I taught undergraduates and presented to funding panels who weren't in my sub-field. I'm strong with data and co..." : SM_14 Prestige & Legacy (0.921) · SM_2 Uncertainty Reduction (0.822) · SM_13 Incentive Motivation (0.709)
  • Chunk 23 (61 words) — Portfolio | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..." : SM_16 Stress Testing & Vulnerability Discovery (0.938) · SM_6 Status Quo Challenging (0.885) · SM_12 Individualistic Motivation (0.868)
Full ranked list
RankIDLabelFinalAverageSpikeSupport
1 SM_16 Stress Testing & Vulnerability Discovery 0.987 0.781 0.987 Interview | chunk 8 | 13 supporting chunks | "I'm drawn to problems that punish sloppy thinking and reward patience. The domain is negotiable; the difficulty is the appeal. I ask a lot of 'how do we know that? ' questions...."
2 SM_17 Gratification Sourcing 0.985 0.295 0.985 Interview | chunk 9 | 3 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
3 SM_11 Collaborative Motivation 0.968 0.129 0.968 Interview | chunk 17 | 2 supporting chunks | "Never overstating what the data actually shows. There's constant pressure to make a result sound cleaner or bigger than it is, for a paper or a grant. I won't do it. The whole p..."
4 SM_9 Positivity Deliverance 0.957 0.144 0.957 Interview | chunk 9 | 1 supporting chunk | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
5 SM_14 Prestige & Legacy 0.937 0.326 0.937 Interview | chunk 19 | 4 supporting chunks | "I'm practicing making the eighty-percent-confident decision and moving, instead of chasing the last twenty percent of certainty that often doesn't change the outcome anyway. I'd..."
6 SM_22 Transgenerational Elevation 0.905 0.268 0.905 Interview | chunk 9 | 5 supporting chunks | "I learned not to hand them answers, because the struggle is where they learn. I'd point them at the right question and let them fail safely, then debrief. Watching them get inde..."
7 SM_12 Individualistic Motivation 0.892 0.491 0.892 Interview | chunk 18 | 11 supporting chunks | "Ideas winning on merit rather than seniority — that's the environment I do my best thinking in. I tolerate routine when there's a real question at the end of it, but pure repeti..."
8 SM_13 Incentive Motivation 0.889 0.278 0.889 Interview | chunk 6 | 5 supporting chunks | "I don't want to spend my thirties fighting for a shrinking number of positions. The work still thrills me; the path doesn't. That I've spent six years going incredibly deep on s..."
9 SM_8 Resilience & Adaptation 0.885 0.189 0.885 Interview | chunk 2 | 4 supporting chunks | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..."
10 SM_6 Status Quo Challenging 0.885 0.318 0.885 Portfolio | chunk 23 | 5 supporting chunks | "Selected work: - PhD thesis: identified a regulatory mechanism after a two-year run of failed approaches; redesigned the core experiment five times. - Data: fluent in statistica..."
11 SM_0 Exploration & Discovery 0.879 0.362 0.879 Interview | chunk 5 | 4 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
12 SM_2 Uncertainty Reduction 0.845 0.313 0.845 Interview | chunk 5 | 4 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
13 SM_5 Compliance & Policy Alignment 0.822 0.336 0.822 Interview | chunk 4 | 6 supporting chunks | "' I design controls specifically to kill my own hypothesis. Wanting something to be true is exactly when you're most dangerous. Sometimes, and I've had to learn when good enough..."
14 SM_20 Consistency & Equilibrium 0.798 0.205 0.798 Interview | chunk 14 | 1 supporting chunk | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..."
15 SM_21 Dynamic Variance & Flux 0.779 0.187 0.779 Interview | chunk 14 | 2 supporting chunks | "Experiments have their own clock — cells don't wait — so I schedule around the biological timing first and fit everything else around it. I've learned to protect deep-focus anal..."
16 SM_10 Waypower Hope 0.772 0.214 0.772 Interview | chunk 2 | 4 supporting chunks | "I was trying to identify a regulatory mechanism, and my first approach gave nothing but noise for months. It's demoralizing when your whole project might just be wrong. I had to..."
17 SM_1 Story-building 0.739 0.214 0.739 Interview | chunk 5 | 3 supporting chunks | "I'm the person in the group people bring their messy datasets to. I like finding the real story in noisy numbers without overclaiming it. Yes — I taught undergraduates and prese..."
18 SM_19 Sacrificial Saving 0.722 0.343 0.722 Interview | chunk 1 | 5 supporting chunks | "When I'm chewing on a question nobody has answered yet and figuring out how to actually test it. The unglamorous middle — designing the experiment, arguing with the data — is wh..."
19 SM_15 Aesthetic Harmonization 0.173 0.173 0.325 clear evidence absent
20 SM_23 Mythopoetic Alignment 0.160 0.160 0.438 clear evidence absent
21 SM_18 Civilization Serving 0.150 0.150 0.511 clear evidence absent
22 SM_4 Guardian Preservation (Wall-Builder) 0.134 0.134 0.378 clear evidence absent
23 SM_7 Architectural System Orchestration 0.125 0.125 0.390 clear evidence absent
24 SM_3 Sustenance & Scaling 0.102 0.102 0.316 clear evidence absent