Common Origin Inferences and the Material Theory of Induction

The outstanding problem for common origin inferences (“COIs”) is to understand why they succeed when they do, and why they fail when they do. The material theory of induction provides a solution: COIs are warranted by background facts. Whether a COI succeeds or fails depends on the truth of its warranting propositions. Examples from matter theory and Newton’s Principia illustrate how COIs can fail; and an example from relativity theory illustrates a success. Hypotheses, according to the material theory, can be posited as a temporary expedient to initiate an inductive enterprise. This use of hypotheses enables COIs to serve as incentives for further research. It is illustrated with the example of the Copernican hypothesis.

Authors

Institutions

Publication Details

Journal
Philosophies
Published
2025-08-22
DOI
https://doi.org/10.3390/philosophies10050094
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Common Origin Inferences and the Material Theory of Induction

John D. Norton
Philosophies
Quantum Mechanics and Applications
article

Common Origin Inferences and the Material Theory of Induction

John D. Norton
article en

Abstract

The outstanding problem for common origin inferences (“COIs”) is to understand why they succeed when they do, and why they fail when they do. The material theory of induction provides a solution: COIs are warranted by background facts. Whether a COI succeeds or fails depends on the truth of its warranting propositions. Examples from matter theory and Newton’s Principia illustrate how COIs can fail; and an example from relativity theory illustrates a success. Hypotheses, according to the material theory, can be posited as a temporary expedient to initiate an inductive enterprise. This use of hypotheses enables COIs to serve as incentives for further research. It is illustrated with the example of the Copernican hypothesis.

PhilosophiesVol. 10(5)
University of Pittsburgh (US)
Openalex Percentile: Top 84%
Quantum Mechanics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.