Mind · Reasoning

AnthropomorphicRiskBias

The gap between how humans model and manage risk and how organisms manage it: decision over organisation, prediction over creation, control of shape over change of shape

Definition

Mechanism

Compare the way humans model risk, in intuition and in formal mathematics alike, with the way organisms manage it, and treat the difference as a bias to correct. It has five parts. (1) Humans focus on decision-making over organisation growth. (2) They focus on prediction over creation as the way to control outcomes. (3) When they do attend to organisation, they frame it as tighter ShapeControl: objectives, targets, constraints, plans. (4) As a result they read curves such as exponential growth as shapes to hit, when they are better read as loss of shape. (5) They have under-examined how computer theory relates to the mathematics of prediction and optimisation. Human solutions therefore lean towards MonoModularity and MultiModularity, while Nature leans towards MetaModularity and values InformationGrowth that changes shape. The bias is not found by experiments on subjects, because the experimenters share it; it shows up by contrast with biology.

Invariants

  1. The bias is defined as a difference from the biological body plan of risk, not from an ideal rational agent
  2. It is shared by scientists, mathematicians and economists as well as lay decision-makers
  3. Correcting it adds strategies; it does not throw away decision, prediction or shape control

Risks

Failure modes

  1. Treating the bias as a list of individual psychological errors rather than a structural preference for MonoModularity

  2. Over-correcting by rejecting planning and prediction altogether

  3. Taking biology as a source of loose metaphors rather than of mechanisms to model

Relationships

Builds on

References

InformationGrowth

Adding new information that has value in its own right, even when exploiting it deforms or abandons the current shape

MetaModularity

A body plan that holds many overlapping but non-identical models of the same problem, ready to instantiate whichever fits

MonoModularity

A body plan in which one model processes every situation, treating each situation as just more data for the same process

MultiModularity

A body plan of standardised, separate parts that can be swapped like for like

ShapeControl

Keeping an organisation, model or trajectory close to a desired form or target, with information serving that form

Nothing in this library builds on this pattern yet.

Reference

Identity

Ref
AnthropomorphicRiskBias#abbe
Sema ID
sema:AnthropomorphicRiskBias#mh:SHA-256:abbe331f94cedf8bf3306ff3e638db4821bb4b624a3c35cccee6b2cf9e5bfe9b
Ring
2
Tier
2
Updated
2026-11-11