The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
Pre-write self-compassion statements, emotion-naming practices, physical interruption protocols, and minimal restart triggers before disruption occurs to deploy when emotional turbulence makes real-time deliberation impossible.
Design behavioral insurance policies as if-then rules specifying concrete backup behaviors that preserve core function under specific disruption conditions, and rehearse backups periodically when primary behaviors are available to build familiarity.
Evaluate behaviors based on their worst-case performance, not their best-case or average performance, to distinguish genuine automation from condition-dependent reliability.
Measure automaticity through operational criteria (presence/absence of willpower, deliberation, external prompts, and consistency under stress) rather than through frequency of execution.
Distinguish behaviors requiring conscious awareness (meditation, listening, creative work) from maintenance behaviors when setting automation targets, as full automation destroys value in awareness-dependent activities.
Automate individual behaviors to reliability before optimizing for compound interactions between them.
Use the excellence ratchet: automate, assess quality, practice deliberately at higher standard, reconsolidate, repeat.
Conduct quarterly reviews of automated behaviors using four diagnostics: still serving function, context unchanged, quality maintained, would design same way today.
Design environmental defaults so that the easiest available action is the one you would consciously choose if fully deliberate, eliminating the need for repeated willpower-based decisions.
When emotional charge exceeds what a situation apparently warrants, trace the intensity to identify which values, identities, or unresolved concerns the observation has activated.
Design appreciation expressions as triggered habits rather than spontaneous feelings, because consistent relational deposits matter more for relationship health than intense but irregular expressions.
Implement spaced repetition review at algorithmically determined intervals rather than ad-hoc review to counteract the exponential memory decay curve.
Implement automatic savings and investment transfers before conscious spending decisions can be made, because present bias and loss aversion reliably override rational financial judgment when money is visible.
Start financial automations at amounts that feel trivially easy and escalate automatically over time, because modest automations that run undisturbed build more wealth than ambitious automations that get overridden.
Build perceptual detection capacity before attempting regulation—you cannot modulate signals you cannot identify.
Examine cognitive appraisals within emotional compounds separately from physiological components because appraisals are revisable while basic emotional responses are not.
Extract multiple distinct informational signals from compound emotions rather than treating them as single undifferentiated problems requiring single responses.
Ground emotional labels in somatic data first, then apply linguistic labels, to prevent intellectual analysis from bypassing actual felt experience.
Schedule regular interrupts to check internal state rather than relying on spontaneous awareness, because undetected emotions continue influencing behavior without conscious registration.
Use 'what' questions rather than 'why' questions when investigating emotions, as causal narratives generated post-hoc are systematically unreliable while descriptive data remains valid.
Extend observation duration beyond initial pattern recognition to allow contradictory details to emerge that challenge preliminary models.
Redirect to somatic scanning when conscious emotional awareness reports 'nothing,' as physiological markers reveal emotions operating below conscious detection threshold.
Capture moment-by-moment intensity ratings rather than retrospective summaries to bypass peak-end memory distortion and reveal actual temporal patterns.
Track intensity over time to detect slow baseline drift that daily experience cannot reveal, as gradual shifts below conscious detection threshold accumulate into significant changes.