Skill Development

The long game. Six skills, developed sequentially, not in parallel.

The Six Skills

#	Skill	Natural?	Status
1	Clear, Persuasive Writing (Clarity & Persuasion)	✓ comfort zone	dormant
2	Learning How to Learn (Meta Learning)	✓ comfort zone	dormant
3	Systems Thinking & First Principles	✓ comfort zone	dormant
4	High Agency Execution (Bias for action)	✗ growth edge	active
5	Emotional Regulation & Stress Inoculation	✗ growth edge	next
6	Social Intuition & Influence (Social Intelligence)	✗ growth edge	queued

Skills 1-3 you already have (your vault proves it). Skills 4-6 are where real growth lives. Pick ONE per quarter. Not six in parallel.

Current Focus: Execution (Q3 2026)

What "done" looks like:

• Thesis shipped
• 3 writings published on personal site
• One side project with a public demo

Daily: Ship something. Even if tiny. Weekly: One thing goes live (post, code, email). Anti-pattern: Reading about execution instead of executing.

Phase 0: Foundation (Months 0–3)

Goal: Build daily habits, baseline skills, and feedback loops.

Skill	Practice	Resources	Evidence
Writing & Clarity	300 words/day on complex topic. Summarize in 1 sentence.	On Writing Well (Zinsser), The Sense of Style (Pinker)	Publish weekly
Meta-Learning	7-day learning sprint: pick subfield, learn, teach in 10-min video	Make It Stick, Ultralearning (Young)	Teach one concept weekly
Execution	2-minute rule. Track 3 wins/day.	Atomic Habits (Clear)	Daily log
Emotional Regulation	10 min/day meditation + nightly journal	Waking Up (Harris), The Body Keeps the Score	90-day streak
Systems Thinking	Map one system/week	Thinking in Systems (Meadows)	Diagram + 1-pager

Deliverable: 12 Substack posts, 3 learning sprint videos, personal operating system.

Phase 1: Build Leverage (Months 4–12)

Goal: Master core skills, apply to real projects, gain feedback.

Skill	Practice	Resources	Evidence
Writing	One "steel-man" essay/month (defend view you disagree with)	Superforecasting, Writing Tools (Clark)	4 essays with expert feedback
Meta-Learning	3-month deep dive: learn, code, write guide	ArXiv, Papers With Code	Public guide + GitHub repo
Systems Thinking	Redesign a real system from first principles	Feynman Lectures	System diagram + critique
Execution	Launch micro-project every 6 weeks	Shape Up (Basecamp)	6 shipped projects
Emotional Regulation	Cold exposure, 30-day challenges, stress journal	Can't Hurt Me (Goggins)	90% consistency
Social Intuition	Record presentations, analyze. Join 1 debate.	What Every BODY is Saying (Navarro)	3 recorded talks with feedback

Deliverable: Portfolio of 6 projects, 1 deep-dive guide, 4 essays, 100+ engaged followers.

Phase 2: Scale & Integrate (Year 2)

Goal: Stack skills, build influence, operate at interdisciplinary edge.

Skill	Practice	Resources	Evidence
Interdisciplinary Integration	1 comparative essay/month	Consilience (Wilson)	12 essays + mental model map
High-Stakes Influence	Pitch to lab/investor/collaborator	Never Split the Difference	3 real pitches
Writing	Long-form piece (5k+ words)	Study: Paul Graham, Scott Alexander	One flagship essay
Execution	6-month moonshot project	GitHub, Hugging Face	Public demo or paper
Systems Thinking	Model complex system interactively	Complexity (Mitchell)	Simulation or interactive model
Meta-Learning	Learn new domain in 30 days, teach workshop	Anki + Feynman method	1 workshop delivered

Deliverable: Flagship essay, moonshot project, 3 pitches, 12 interdisciplinary essays, 1 workshop.

Phase 3: Lead (Year 3)

Goal: Become a node of insight, attract opportunity.

Skill	Practice	Evidence
Writing + Influence	Publish book/manifesto	Book proposal + 3 chapters
Interdisciplinary Mastery	Launch research agenda or startup at AI×Bio×Neuro edge	White paper + pitch deck
Execution	Ship tool used by 100+ researchers	Open-source platform
Social Capital	Speak at conference, guest on podcast	3 high-visibility appearances
Meta-Learning	Mentor others	3 protégés, public curriculum

Deliverable: Recognized voice, shipped tool, multiple doors open.

Clarity & Persuasion

Daily Practices & Exercises

• Sharpening Thought
  • One-sentence distillation: After reading a paper or drafting an idea, reduce it to one crisp sentence.
  • 5 Whys drill: For any claim, ask "why?" five times until you hit assumptions or first principles.
• Writing for Others
• Persuasive Framing/drills
  • Problem: What's broken/unknown?
  • Solution: What's your approach?
  • Impact: Why it matters (to science, practice, or society)?
  • Objection steelmanning: For each claim, write the strongest counter-argument. Then refine your statement so it still holds.
• Spoken clarity: Every day, explain one idea aloud without notes in under 2 minutes, record yourself, and replay. Writing clarity improves when oral clarity does.
• Constraint writing: Impose artificial limits (e.g. describe your neuro project without adjectives, or in only 3 bullet points). Constraints force precision.

Key points

• Writing is Not "content." Writing that alters beliefs, drives action, builds movements.
• Use AI (Claude, GPT-5, etc.) as "clarity mirrors": paste your draft and ask it to expose ambiguity, jargon, hidden assumptions
• study Cognitive Biases
• Clarity = fidelity of transmission. An idea exists in your mind; clarity is how intact and interpretable it remains when carried into someone else's mind.
• Persuasion = clarity + direction. Persuasion requires clarity plus alignment with motivation, evidence, and trust.
• Why people fail at clarity
  • Cognitive fog: thinking isn't fully formed before writing, so language becomes filler.
  • Over-compression or jargon: insiders use shorthand that outsiders can't decode.
  • Attention blindness: assuming the audience knows your context.
  • Signal-to-noise imbalance: burying the core idea under excess detail, hedging, or style.

Resources

Classics

• Orwell - Politics and the English Language (Simplicity)
• Strunk & While - The Elements of Style (conciseness)
• Zinsser - On Writing Well (clarity across non-fiction)
• Clear Thinking (Shane Parrish, Farnam Street): mental models for clarity.
• The Pyramid Principle – Barbara Minto (structuring arguments top-down)
• Style: Lessons in Clarity and Grace – Joseph Williams (deep dive into why sentences confuse)
• Writing Science – Joshua Schimel (crafting papers with story + clarity)
• The Sense of Style – Steven Pinker (why clarity = cognitive empathy)
• The Art of Thinking Clearly (Rolf Dobelli)
• The Great Mental Models (Shane Parrish et al.)
• Feynman Lectures on Physics (teaches clarity by example + first principles thinking)
• Aristotle's Rhetoric (ethos, pathos, logos)
• Influence (Robert Cialdini): psychology of persuasion
• Made to Stick (Chip & Dan Heath): SUCCESs model for sticky ideas
• Thinking, Fast and Slow (Daniel Kahneman)
• Superforecasting (Tetlock & Gardner)
• Seneca & Marcus Aurelius - Letters (concise persuasion, timeless style)

Modern

• LessWrong & Alignment Forum
• Gwern.net
• https://distill.pub/
• Andy Matuschak's notes (layered, evergreen clarity in knowledge work)
• Anthropic/ OpenAI interpretability papers
• Paul Graham's essays (structure + clarity)
• https://www.clearerthinking.org/
• fs.blog

Fantasy Writing

• Sanderson's Lectures

Meta Learning

Resources

Classics

• Make It Stick (Brown, Roediger, McDaniel)
• Ultralearning (Scott Young)
• The Art of Learning – Josh Waitzkin
• Brain Rules – John Medina
• The Tell-Tale Brain – V.S. Ramachandran
• Learning How to Learn (Coursera, Barbara Oakley)
• How Learning Works (Ambrose et al.): robust teaching/learning principles
• Peak (Ericsson): deliberate practice and mental representations
• The Extended Mind – Annie Murphy Paul
• Life on the Edge – Al-Khalili & McFadden
• How to Read a Book by Mortimer Adler: Deep comprehension techniques
• Mastery by Robert Greene: Long-term expertise through immersion
• Peak Learning by Ronald Gross: Lifelong learning frameworks
• Squire & Kandel "Memory: From Mind to Molecules"

Modern

• Spaced Repetition Systems (SRS)
• LLM assisted learning

Bias for Action

Resources

References (Core Syntheses)

• The Handbook of Executive Function by Goschke, Bollich, et al.
• The Willpower Instinct by Kelly McGonigal
• Thinking, Fast and Slow by Daniel Kahneman (dual-system decision-making)
• The 4 Disciplines of Execution by Chris McChesney, Sean Covey, Jim Huling
• Getting Things Done by David Allen

I. Evolutionary & Biological Roots of Action (Why We Act)

• Behave by Robert Sapolsky
• Good Reasons for Bad Feelings by Randolph Nesse
• Free Agents: How Evolution Gave Us Free Will by Kevin J. Mitchell
• The Analects by Confucius (Chinese, moral agency)

II. Physiology of Action (Energy, Readiness, Rhythms)

• Why We Sleep by Matthew Walker
• The Spark Factor by Molly Maloof
• The Mind-Gut Connection by Emeran Mayer
• The Miracle of Mindfulness by Thich Nhat Hanh (Buddhist, embodied attention)
• The Extended Mind by Annie Murphy Paul
• How the Body Shapes the Mind by Shaun Gallagher

III. Neuroscience of Action Initiation (Brain Circuits)

• Affective Neuroscience by Jaak Panksepp (SEEKING system)
• The Brain's Way of Healing by Norman Doidge
• Hard to Break by Russell Poldrack
• Good Habits, Bad Habits by Wendy Wood

IV. Mindset & Psychological Barriers (Why We Stall)

• The War of Art by Steven Pressfield
• Mindset by Carol Dweck
• The Now Habit by Neil Fiore
• Deep Work by Cal Newport
• Slow Productivity by Cal Newport
• Self-Efficacy by Albert Bandura
• Sources of Power by Gary Klein (naturalistic decision-making)
• The Book of Five Rings by Miyamoto Musashi (Japanese, disciplined action)

V. High-Agency Mindset (Identity, Discipline, Resilience)

• Extreme Ownership by Jocko Willink
• Can't Hurt Me by David Goggins
• The 7 Habits of Highly Effective People by Stephen R. Covey
• The Effective Executive by Peter F. Drucker
• The Art of War by Sun Tzu (Chinese, strategic agency)

VI. Execution Frameworks & Systems (How to Ship Work)

• The Lean Startup by Eric Ries
• The 4 Disciplines of Execution by Chris McChesney, Sean Covey, Jim Huling
• Measure What Matters by John Doerr (OKRs)
• Sprint by Jake Knapp
• Experimentation Works by Stefan Thomke
• High Output Management by Andy Grove
• Kaizen by Sarah Harvey (Japanese, continuous improvement)
• Lagom by Lola A. Åkerström (Swedish-Nigerian, balanced productivity)

VII. Cultural & Social Shaping of Agency (Groups, Norms, Teams)

• The Hard Thing About Hard Things by Ben Horowitz
• Creativity, Inc. by Ed Catmull
• Boyd by Robert Coram (OODA loop)
• Do Things That Don't Scale by Paul Graham (essay)
• The Culture Map by Erin Meyer (cross-cultural agency)
• Rebel Talent by Francesca Gino
• Ubuntu: I Am Because We Are by Michael Battle (African collective agency)

VIII. Identity & Meaning (Action as Selfhood)

• Man's Search for Meaning by Viktor Frankl
• The Book of Joy by Dalai Lama & Desmond Tutu (Buddhist/Christian, joyful agency)
• The Redemptive Self by Dan P. McAdams
• Buddhist Ethics by Hammalawa Saddhatissa (non-Western moral agency)

Emotional Regulation

Regulation precedes communication

It's satisfying to know that I want to learn a lot more about emotions and how to regulated them, learning theory won't help though I need to take an applied practical path. I'm getting curious about attachments styles and want to start behaving in a secure way even if I don't feel like it if I want to make a change.

Daily Practice

• Journal

Curriculum

References

• James Gross (ed.): Handbook of Emotion Regulation
• Lewis, Haviland-Jones & Barrett (eds.): Handbook of Emotions
• The Oxford Handbook of Affective Computing
• Emotion Theory: The Routledge Comprehensive Guide

Attachment

• John Bowley - Attachment and Loss
• Robert Karen - Becoming Attached
• Mario and Phillip - Attachment In Adulthood
• Stan Tatkin - Wired for Love
• Sue Johnson lectures - Attachment Theory in Practice
• The Ego and the Mechanisms of Defence
• Anchored: How to Befriend Your Nervous System Using Polyvagal Theory
• No bad Parts
• The Interpersonal World of the Infant: Daniel Stern
• Attachment in Psychotherapy: David Wallin

I. Evolutionary & Biological Foundations (Why Emotion Exists)

• Charles Darwin: The Expression of the Emotions in Man and Animals
• David Buss: Evolutionary Psychology
• Robert Sapolsky: Behave
• Randolph Nesse: Good Reasons for Bad Feelings
• The Emotional lives of Animals

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II. Physiology, Stress & Coping (The Body's Role)

• Richard Lazarus: Emotion and Adaptation
• Robert Sapolsky: Why Zebras Don't Get Ulcers
• Hans Selye: The Stress of Life
• Emeran Mayer: The Mind-Gut Connection
• Antonio Damasio: Descartes' Error
• Stephen Porges: The Polyvagal Theory
• Susan Folkman & Richard Lazarus: Stress, Appraisal, and Coping

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III. Neuroscience of Emotion (Circuits, Neurochemistry, Predictive Brain)

• Paul Ekman: Emotions Revealed
• Jaak Panksepp: Affective Neuroscience
• Paul Gilbert: The Compassionate Mind
• Joseph LeDoux: The Emotional Brain
• Richard Davidson: The Emotional Life of Your Brain
• Anil Seth: Being You
• Rosalind Picard: Affective Computing
• Allen Schore - Affect Regulation and the Origin of the Self

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IV. Cognitive Construction (How the Mind Makes Emotion)

• Lisa Feldman Barrett: How Emotions Are Made
• Antonio Damasio: The Feeling of What Happens
• The Emotional Life of the Toddler by Alicia Lieberman
• Marc Brackett: Permission to Feel

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V. Cultural & Anthropological Shaping

• Catherine Lutz: Unnatural Emotions
• Batja Mesquita - Between Us: How Cultures Create Emotions
• The Spirit Catches You and You Fall Down by Anne Fadiman

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VI. Moral, Social, & Collective Emotion

• Jonathan Haidt: The Righteous Mind
• Sara Ahmed: The Cultural Politics of Emotion

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VII. Self, Relationship & Agency (We Regulate Each Other)

• Daniel Goleman: Emotional Intelligence
• Bessel van der Kolk: The Body Keeps the Score
• Timothy Gallwey: The Inner Game of Tennis
• Dan P. McAdams: Narrative Identity
• Dan Siegel: The Developing Mind
• Sue Johnson: Hold Me Tight
• Nonviolent Communication by Marshall Rosenberg
• Emotional Agility by Susan David
• The Language of Emotions by Karla McLaren
• Marsha Linehan: DBT Skills Training Manual
• Steven C. Hayes: Acceptance and Commitment Therapy

VIII. Positive Emotions & Flourishing

• Martin Seligman - Flourish
• Hope for Cynics by Jamil Zaki (2024)
• Sonja Lyubomirsky: The How of Happiness
• Chade-Meng Tan: Search Inside Yourself
• Sheri Van Dijk: Calming the Emotional Storm
• Thich Nhat Hanh: The Miracle of Mindfulness
• Shawn Achor: The Happiness Advantage
• Science of Well Being - Yale

Social Intelligence

Resources

Classics

• How to Win Friends and Influence People – Dale Carnegie
• "The Prince" – Niccolò Machiavelli
• "On Human Nature" – E.O. Wilson
• "The Laws of Human Nature" – Robert Greene
• Social Intelligence – Daniel Goleman
• Quiet – Susan Cain
• The Like Switch – Jack Schafer
• Daniel Kahneman: Thinking, Fast and Slow
• Gary Klein: Sources of Power: How People Make Decisions
• Malcolm Gladwell: Blink
• Robert Cialdini: Influence: The Psychology of Persuasion
• Erving Goffman: The Presentation of Self in Everyday Life
• Paul Ekman: Emotions Revealed
• Antonio Damasio: Descartes' Error
• Gerd Gigerenzer: Gut Feelings: The Intelligence of the Unconscious
• Robin Dunbar: Grooming, Gossip, and the Evolution of Language
• Nassim Nicholas Taleb: Fooled by Randomness & The Black Swan
• Philip Tetlock: Superforecasting
• Chris Voss: Never Split the Difference
• Annie Duke: Thinking in Bets
• Daniel Kahneman, Olivier Sibony, Cass Sunstein: Noise
• "Emotional Contagion" by Elaine Hatfield
• "Games People Play" by Eric Berne
• "Antifragile" by Nassim Taleb
• "Range" by David Epstein
• "The Signal and the Noise" by Nate Silver
• "The Social Animal" by David Brooks
• "The Social Brain" by Michael Gazzaniga
• Skin in the Game – Nassim Nicholas Taleb
• Crucial Conversations – Patterson, Grenny, McMillan, Switzler

Judgment

Apply these techniques

Luke from Open Philanthropy lists a few techniques for improving judgement that have some backing in the research:

1. Train probabilistic reasoning: In one especially compelling study (Chang et al. 2016), a single hour of training in probabilistic reasoning noticeably improved forecasting accuracy. Similar training has improved judgemental accuracy in some earlier studies, and is sometimes included in calibration training.
2. Incentivise accuracy: In many domains, incentives for accuracy are overwhelmed by stronger incentives for other things, such as incentives for appearing confident, being entertaining, or signalling group loyalty. Some studies suggest that accuracy can be improved merely by providing sufficiently strong incentives for accuracy, such as money or the approval of peers.
3. Think of alternatives: Some studies suggest that judgemental accuracy can be improved by prompting subjects to consider alternate hypotheses.
4. Decompose the problem: Another common recommendation is to break each problem into easier-to-estimate sub-problems.
5. Combine multiple judgements: Often, a weighted (and sometimes 'extremized') combination of multiple subjects' judgements outperforms the judgements of any one person.

Here are Tetlock's 10 commandments of forecasting (plus one meta-command), as summarised by AI Impacts:

1. Triage: Don't waste time on questions that are 'clocklike' (where a rule of thumb can get you pretty close to the correct answer) or 'cloudlike' (where even fancy models can't beat a dart-throwing chimp).
2. Break seemingly intractable problems into tractable sub-problems: This is how Fermi estimation works. One related piece of advice is "be wary of accidentally substituting an easy question for a hard one," e.g. substituting "Would Israel be willing to assassinate Yasser Arafat?" for "Will at least one of the tests for polonium in Arafat's body turn up positive?"
3. Strike the right balance between inside and outside views: In particular, first anchor with the outside view and then adjust using the inside view.
4. Strike the right balance between under- and overreacting to evidence: "Superforecasters aren't perfect Bayesian predictors but they are much better than most of us." Usually do many small updates, but occasionally do big updates when the situation calls for it. Take care not to fall for things that seem like good evidence but aren't; remember to think about P(E|H)/P(E|~H) (Bayes' theorem); remember to avoid the base-rate fallacy.
5. Look for the clashing causal forces at work in each problem: This is the 'dragonfly-eye perspective,' which is where you attempt to do a sort of mental wisdom of the crowds: have tonnes of different causal models and aggregate their judgements. Use 'devil's advocate' reasoning. If you think that P, try hard to convince yourself that not-P. You should find yourself saying "On the one hand... on the other hand... on the third hand..." a lot.
6. Strive to distinguish as many degrees of doubt as the problem permits, but no more.
7. Strike the right balance between under- and overconfidence, between prudence and decisiveness.
8. Look for the errors behind your mistakes, but beware of rearview-mirror hindsight biases.
9. Bring out the best in others and let others bring out the best in you: One pervasive guiding principle is "Don't tell people how to do things; tell them what you want accomplished, and they'll surprise you with their ingenuity in doing it." The other pervasive guiding principle is "Cultivate a culture in which people, even subordinates, are encouraged to dissent and give counterarguments."
10. Master the error-balancing bicycle: This one should have been called practise, practise, practise. Tetlock says that reading the news and generating probabilities isn't enough; you need to actually score your predictions so that you know how wrong you were.
11. Don't treat commandments as commandments: Tetlock's point here is simply that you should use your judgement about whether to follow a commandment or not; sometimes they should be overridden.

Try to develop the right mindset

The people with the best judgement also seem to have a certain mindset. Luke again:

According to some of the most compelling studies on forecasting accuracy I've seen, correlates of good forecasting ability include "thinking like a fox" (i.e. eschewing grand theories for attention to lots of messy details), strong domain knowledge, general cognitive ability, and high scores on "need for cognition," "actively open-minded thinking," and "cognitive reflection" scales.

And here's Tetlock's portrait of a good forecaster:

Philosophic outlook:

• Cautious: Nothing is certain
• Humble: Reality is infinitely complex
• Nondeterministic: Whatever happens is not meant to be and does not have to happen

Abilities and thinking styles:

• Actively open-minded: Beliefs are hypotheses to be tested, not treasures to be protected
• Intelligent and knowledgeable, with a 'need for cognition': intellectually curious; enjoy puzzles and mental challenges
• Reflective: Introspective and self-critical
• Numerate: Comfortable with numbers

Methods of forecasting:

• Pragmatic: Not wedded to any idea or agenda
• Analytical: Capable of stepping back from the tip-of-your-nose perspective and considering other views
• Dragonfly-eyed: Value diverse views and synthesize them into their own
• Probabilistic: Judge using many grades of maybe
• Thoughtful updaters: When facts change, they change their minds
• Good intuitive psychologists: Aware of the value of checking thinking for cognitive and emotional biases

Work ethic:

• Growth mindset: Believe it's possible to get better
• Grit: Determined to keep at it however long it takes

Talk to people who are good at judgment

Coordination

Axelrod summed up the behaviour of the characteristics of the most successful algorithms as follows:7

• Be nice: cooperate, never be the first to defect.
• Be provocable: return defection for defection, cooperation for cooperation.
• Don't be envious: focus on maximising your own 'score,' as opposed to ensuring your score is higher than your partners'.
• Don't be too clever: or, don't try to be tricky. Clarity is essential for others to cooperate with you.

In Axelrod's tournaments, the algorithms didn't know how others had behaved in other games. However, in real life if you defect against one person, then others will find out. This magnifies the costs of defection, especially in a tight knit community. Likewise, if you have a history of cooperating, then others will be more likely to cooperate with you, increasing the rewards of being nice. And in the last one or two decades, technology has made it even easier to track reputation over time.

Preemptive trade is another example of reciprocal altruism, you're being nice to other community members in the hope they will be nice in return.

Going one level further, we get 'indirect trade.' For instance, in some professional networks, people try to follow the norm of 'paying it forward.' Junior members get mentoring from senior members, without giving the senior members anything in return. Instead, the junior members are expected to mentor the next generation of junior members. This creates a chain of mentoring from generation to generation.

This is how families normally work. If you can help your brother with his homework, you don't (usually) make an explicit bargain that your brother will help you with something else. Rather, you just help your brother. In part, there's an understanding that if everyone does this, the family will be stronger, and you'll all benefit in the long term. Maybe your brother will help you with something else, or maybe because your brother does better in school, your mother has more time to help you with something else, and so on.

However, we can see that pre-emptive and indirect trade can only exist in the presence of a significant amount of trust.

However, we can see that pre-emptive and indirect trade can only exist in the presence of a significant amount of trust.

Adam Grant presents data that the most successful people in many organisations are 'givers', those who tend to help other people without counting whether they get benefits in return.

However, he also shows that some givers end up unsuccessful, and one reason is that they get exploited by takers. This shows that you need to be both nice and provocable.