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Temporal & Expectation Biases

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Abstractions about systematic misjudgments of time, change and expectation, spanning forecasting biases (declinism, end-of-history illusion, exaggerated expectation), belief-updating errors (conservatism bias, hindsight bias), and expectation-comparison effects (expectancy disconfirmation, pratfall effect, cultivation theory).

8 abstractions in this family — domain-specific abstractions that sit near one another in structural-signature space (k-means over structural-signature embeddings). Each is shown with its short description.

  • Conservatism Bias — Capture the tendency of people to revise a probability judgment less than Bayes' rule prescribes when evidence arrives — the reported posterior landing short of the correct one, anchored too close to the prior — measured as a signed gap against an explicit Bayesian benchmark.
  • Cultivation Theory — Explain how sustained cumulative exposure to a biased symbolic environment slowly calibrates a heavy viewer's background estimates of social facts toward the statistics depicted on screen rather than the statistics of the world they actually inhabit.
  • Declinism — Believe the past was better and the future will be worse — even against the measured data — via a self-reinforcing loop of rosy retrospection on the past, negativity- and recency-weighted evaluation of the present, and naive extrapolation forward.
  • End-of-History Illusion — Explain why people at any age acknowledge large past-decade change yet forecast far less future change — an asymmetry in which vivid episodic contrasts underwrite recall while the future self, lacking any episodic record, is built by minimal edits to the present self.
  • Exaggerated Expectation — Lift the expectation-realization gap out as a third measurable quantity carrying a stable sign — so a forecaster's systematic, directional miss across a class of events is diagnosed as a defect in the forecasting machinery, not random noise.
  • Expectancy Disconfirmation — Compare perceived performance with a prior expectation and use the signed discrepancy—positive, zero, or negative—as a primary input to satisfaction, so the same performance can be evaluated differently when its reference changes.
  • Hindsight Bias — The tendency, once an outcome is known, to inflate its perceived prior probability and misremember one's own judgment as closer to it than it was, because outcome knowledge is folded into the memory of the prior situation and reconstructs rather than retrieves it.
  • Pratfall Effect — A small, recoverable blunder raises observers' liking for an agent already judged highly competent — humanizing them by narrowing a status gap — while the same blunder lowers liking for a mediocre agent, so the impression update reverses sign depending on the prior competence estimate.