TRANSDUCTIVE SCIENCESCIENCE AFTER HUMANS / 001ED. 01 / 2026
W26 / Bias

Selection bias

Who enters the dataset can determine the apparent result.

01 / Source of departure [W26] ↗

What the reference describes.

Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure and outcome among those selected for analysis differs from the association among those eligible. It typically occurs when researchers condition on a factor that is influenced both by the exposure and the outcome (or their causes), creating a false association between them. Selection bias encompasses several forms of bias, including differential loss-to-follow-up, incidence–prevalence bias, volunteer bias, healthy-worker bias, and nonresponse bias.
Shortened extract from “Selection bias”, English Wikipedia contributors, revision 1375130988; original text licensed CC BY-SA 4.0. Excerpt shortened, line breaks normalized. For full article references and edit history, open the fixed source revision. The independent critique below is not Wikipedia text.
02 / Inherited constraint

What the process still cannot guarantee.

Who enters the dataset can determine the apparent result.

That is a design criticism of how this research operation may be used, not a claim that the encyclopedia endorses the limitation. In this domain, the general redesign question is: human and machine distortions move from behavioral advice into enforceable evidence-lineage constraints.

03 / Machine-native reconstruction

Replace the mechanism.

Record inclusion mechanisms and compute sensitivity to unobserved sampling and missingness.

Implementation requires a typed scientific claim, explicit operational definitions, controlled access to evidence, an immutable record of relevant transformations, and independent checking appropriate to the kind of assertion. An AI-generated interpretation without those checks would reproduce the underlying failure at greater speed.

04 / Adversarial acceptance test

What would demonstrate improvement?

Compare source and target populations with known selection distortions.

Compare with a defined baseline under matched resources, keep evaluation cases independent of the system under test, and measure both false alarms and undetected errors. Publish any negative or inconclusive result as part of the same investigation record.

Unresolved requirement. These are proposed experiments, not completed demonstrations. Better generated explanations are not proof of better scientific inference.
05 / Adjacent evidence

Continue across concepts.

Each related title has its own revision-specific Wikipedia source and a separate critical dossier. Crosslinks are exploratory; they do not imply the encyclopedia articles support the proposed replacement.

06 / Verification & provenance

No single authority.

The reference article establishes the historical and methodological subject under examination. The proposed criticism and replacement must earn their own support through reproducible tests and independent validation. Record disagreements instead of silently overwriting them.

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