---
schema: 1
type: term
title: '**abduction**'
description: >-
  **Abduction** is a form of reasoning that arrives at the most plausible
  explanation for observed evidence when certainty isn't available — often
  called reasoning to the best explanation.
canonical: 'https://liquidgold.cc/channel/everyinc/explore/term/abduction-d750929e89d4'
markdown: 'https://liquidgold.cc/channel/everyinc/explore/term/abduction-d750929e89d4.md'
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \*\*abduction\*\*

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/abduction-d750929e89d4

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**Abduction** is a form of reasoning that arrives at the most plausible explanation for observed evidence when certainty isn't available — often called reasoning to the best explanation.

## Abduction in this channel's materialThis entry draws on Reid Hoffman's conversation about preparing for AGI ([^d2407574-f59e-577f-a487-a84f1b6e94b4@0]), where **abduction** — reasoning to the best available explanation — describes how people navigate uncertainty about transformative AI. In that discussion, abduction is the mode of thinking used when no complete blueprint exists: you gather what evidence you have, form the most plausible explanation, and act on it while staying open to revision.### How it's used- As a way to **explore** the AI transition deliberately rather than react to it — forming working hypotheses about what's coming instead of waiting for certainty.- As a contrast to **deduction**, which needs complete premises up front. Abduction tolerates gaps and revises as new evidence arrives.- As a practical stance for adapting to the AI wave without a rigid plan: reason to the best current explanation, then update it.- **Abduction** means reasoning to the best available explanation from incomplete evidence.- In the channel's AGI discussion, it frames how to steer through AI change without a full blueprint.- It pairs with openness to revision: the explanation you act on today can change tomorrow.