The irreducible epistemic atoms underlying the curriculum. 2,888 atoms across 3 types and 2 molecules
Adult human brains retain the capacity to reorganize neural pathways throughout life in response to changes in input and behavior, automatically detecting and extracting statistical regularities from repeated input without conscious instruction.
Patterns exist in hierarchical levels across multiple scales, with higher-order patterns (patterns of patterns) representing different logical types than first-order patterns and requiring meta-level cognitive observation to detect, forming causal chains where deeper structures generate surface events.
Expertise develops through deliberate practice that builds sophisticated mental representations and enables perceptual differentiation of domain-specific features that untrained observers cannot detect.
Goals function as perceptual filters that determine relevance by defining signal-detection criteria before information reaches conscious awareness, making relevance a goal-relative property rather than an intrinsic feature of information.
Memory encoding depth, determined by the degree of elaborative processing and integration with existing knowledge structures, directly determines long-term retention and retrievability.
The amygdala evaluates emotional significance of stimuli before conscious awareness, and humans systematically use these pre-conscious emotional evaluations as heuristic substitutes for complex cognitive judgments, producing systematic distortions in probability and severity assessments.
Experience and cultural training shape perceptual processing itself at preconscious levels, enabling the system to make distinctions it previously could not make and causing people from different backgrounds to literally perceive different features of objectively identical stimuli.
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.
Emotional states systematically distort perception and judgment in specific, predictable directions (fear increases perceived uncertainty and threat while decreasing control; anger does the opposite), serving as necessary somatic markers that guide attention and activate state-dependent memory networks rather than mere sources of error.
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.
The brain consumes approximately 20% of resting metabolic energy primarily as glucose, and blood glucose below approximately 54 mg/dL (3.0 mmol/L) consistently impairs cognitive function across attention, working memory, processing speed, executive function, and spatial reasoning.
Natural frequency representations of statistical information produce dramatically better Bayesian reasoning than conditional probability representations because frequency tracking matches evolutionarily older cognitive mechanisms.
Calibration develops from domain-specific feedback loops that provide rapid, unambiguous outcome information after predictions, and does not transfer automatically across domains.
Meaning is constructed by receivers using their own mental models rather than transmitted intact from senders, because information contains no inherent meaning—meaning emerges from the interaction between information and context.
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.
Cultural context shapes perception, attention allocation, and cognitive processing at a fundamental level, not merely attitudes, preferences, or higher-level reasoning.
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.
Schemas are cognitive structures that organize knowledge at all levels of abstraction by specifying relationships between concepts and guiding information processing.
Automatic cognitive processes operate without conscious awareness, voluntary control, or deliberate initiation.
Categories have internal structure with graded membership along a spectrum of typicality rather than binary definitional boundaries.
Cognitive systems preferentially maintain existing beliefs and interpretive frameworks even when confronted with contradictory evidence or when the original evidentiary basis is explicitly eliminated.
Expertise fundamentally consists of accumulated and organized domain-specific schemas rather than superior general processing capacity, and expert knowledge structures do not automatically transfer across domains.
Early cognitive schemas are installed by environmental input during critical developmental periods rather than being self-generated or innately specified in detail.
Cultural learning enables humans to transmit cognitive schemas across generations through shared intentionality—the uniquely human capacity for collaborative attention and mutual understanding of communicative intent.