Cognitive Scaffold

Preparing your thinking workspace

arrow_back_ios_new
MENTAL MODEL · M0799

Superforecasting

Superforecasting
TechnicalHigh supportAlgorithms
Included
account_tree

Version 1.0.0 · Updated 2026-07-30

CORE DEFINITION

Ordinary experts' predictions are often no better than a dart-throwing monkey. But there is a class of "superforecasters" who, through Bayesian updating (adjusting probabilities as new information arrives), fine-grained granularity (saying 65% instead of "likely"), and teamwork, consistently outperform algorithms.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Demystifying prophecy: Don't be fooled by confident experts on TV (usually hedgehogs). True prediction is a cautious, probabilistic, and self-correcting process.

anchor

Anchor fast decisions

Superforecasting refers to the practice of aggregating the probabilistic judgments of a group of trained ordinary people to consistently outperform experts and intelligence agencies in predicting vague events such as geopolitical ones. Tetlock's research shows that 'fox-like' thinking and continuous updating are key.

MINIMUM ACTION

In progress 0/1

Practice this model in one real situation:

Check to track your progress (stored locally)
Learning progress0%
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more

Source support: Explicit

  • link
    en.wikipedia.orghttps://en.wikipedia.org/wiki/The_Good_Judgment_ProjectZH · Explicit
    verified

RELATED MODELS

Related model

Cunningham's Law

Howard G. Cunningham (born May 26, 1949) is an American computer programmer, who developed the first wiki and co-authored the Manifesto for Agile Software Development. Called a pioneer, and innovator,

arrow_forwardRelated model

Deduced Pattern from Formula

When the condition is complex and difficult to identify, by tentatively using a certain formula (or reviewing effective treatment history), if effective, deduce the pathogenesis in reverse.

arrow_forwardRelated model

Two Envelopes Problem

The two envelopes problem, also known as the exchange paradox, is a paradox in probability theory. It is of special interest in decision theory and for the Bayesian interpretation of probability theory. It is a variant of an older problem known as the necktie paradox. The problem is typically introd…

arrow_forward