The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
Thoughts are discrete cognitive objects that can be separated from the identity of the thinker; a person can observe, craft, version, and evaluate their own thoughts as external material.
Memory reconstructs rather than faithfully stores prior beliefs, systematically shifting them toward alignment with known outcomes (hindsight bias), making genuine learning from unrecorded predictions impossible and requiring external calibration systems to align subjective confidence with objective accuracy.
Metacognition consists of two functionally distinct levels: an object level where cognitive processes occur and a meta level that monitors those processes through upward signals and regulates them through downward control.
Humans exhibit systematic overconfidence across domains, with subjective confidence consistently exceeding objective accuracy in three distinct forms—overestimation of absolute performance, overplacement relative to others, and overprecision of confidence intervals—that behave differently across task difficulty levels.
People judge frequency and probability based on the subjective ease of mentally retrieving examples rather than the content count of retrieved instances, using retrieval fluency as a proxy for actual frequency in the world.
Calibration develops from domain-specific feedback loops that provide rapid, unambiguous outcome information after predictions, and does not transfer automatically across domains.
Human observers systematically fail to detect cognitive biases and behavioral patterns in their own judgment while readily identifying them in others (the bias blind spot), because self-evaluation relies on introspection while other-evaluation relies on observable behavior.
Externalizing thought processes—through writing, explaining, or step-by-step articulation—exposes gaps, logical jumps, and unstated assumptions that remain concealed in internal processing, converting tacit knowledge into explicit, transferable form.
Conduct separate mental inventory sessions in different physical and emotional contexts (office vs. home, morning vs. evening, calm vs. stressed), then compare outputs to reveal context-dependent retrieval gaps, because state-dependent memory causes approximately 50% retrieval variance based on context matching.
When you feel you have 'thoroughly considered' a decision, treat that feeling as a warning signal requiring additional externalized inventory, because WYSIATI (What You See Is All There Is) creates confidence from narrative coherence rather than completeness.
When you encounter a gap mid-writing where you cannot articulate the next step, treat that gap as the actual location of your thinking work rather than evidence of poor preparation.
When reviewing AI-generated text, verify whether you could reconstruct the reasoning independently - if not, you have received polish without cognitive gain and should write your own version first.
When your inner monologue compresses a concern into a single-word assessment like '...risky,' immediately expand it in writing by specifying subject, object, and specific mechanism to decompress the elided context.
When you notice 'I'll remember this' or 'I'll write it up properly later' during an insight, treat that thought itself as an immediate trigger to capture the insight in any available medium, because the delay thought is a predictor of total loss.
Conduct a 3-minute thought dump without filtering, then immediately tag each thought as S (signal: novel, surprising, actionable, connective) or N (narration: repetitive, self-referential, habitual, defensive) to establish your baseline signal-to-noise ratio.
Replace emotional intensity as your thought-filtering criterion with informational value by asking 'which thought is newest?' and 'which thought changes what I should do?' rather than 'which thought is loudest?'
When attempting to write an explanation of something you believe you understand, mark every sentence where you hesitate, use vague language, or skip a step as diagnostic evidence of incomplete understanding.
When writing stalls on a supposedly understood topic, treat the stall point as a specific learning target rather than a writing problem.
Before attempting decomposition of any complex idea, map it as a whole with your current understanding externalized, then decompose systematically until you encounter steps you cannot explain clearly—those uncertainty points are your actual knowledge gaps.
When encountering difficulty naming a concept precisely, treat that difficulty as a diagnostic signal revealing incomplete understanding requiring further processing rather than a labeling problem.
When a belief revises three or more times in a short period without converging, treat this as a diagnostic signal that you are reacting to surface events rather than updating a deeper model.
When a thought triggers resistance to capture (a 'flinch' away from writing it down), use that resistance feeling as the capture trigger rather than a reason to skip—thoughts that produce hesitation are the highest-value capture targets.
During weekly reviews, ask four metacognitive questions—what did I capture well, what did I almost lose, where did I over-capture noise, and what am I avoiding—to monitor system health rather than just processing lists.
Classify each skipped capture by checking whether failure frequency is random across topics (friction problem requiring tool improvement) or clustered in specific domains (resistance problem revealing avoidance patterns).