The visible record has already been filtered¶
Cross-Domain EchoesShared pattern · Selection Bias
A literature review may encounter the studies with the most striking results while many ordinary or null results remain unavailable. An evolutionary analysis restricted to old surviving lineages may encounter unusually favorable early growth because that growth helped those lineages survive. In both, the record was filtered before the analyst began. A pattern in the selected sample can therefore reflect the gate as well as the underlying process. Publication involves human reporting decisions; the evolutionary example follows survival conditioning in a stochastic diversification model. Neither comparison says the visible evidence is false. It asks what became visible, and why.
Choose a role to see its counterpart in both examples. The diagrams show relationships, not measured quantities.
Scientific evidence
Striking results enter the visible literature
Read Publication BiasDomain-specific abstraction
Result-dependent dissemination changes the studies and outcomes available to reviewers.
In this example: The source’s twenty-study illustration is hypothetical.
Evolutionary history
Survivors have selected beginnings
Read Push of the pastDomain-specific abstraction
Surviving old clades are enriched for unusually favorable early diversification histories.
In this example: The apparent slowdown arises under an explicitly stated stochastic model and survival condition.
The target of inference is broader than the visible or surviving record.
Written comparison
The population before selection
Scientific evidence
Conducted studies and measured outcomes
Evolutionary history
Possible diversification histories
The target of inference is broader than the visible or surviving record.
The inclusion gate
Scientific evidence
Results influence dissemination
Evolutionary history
Early history influences survival
Inclusion is associated with the very pattern being studied, so the gate is not a neutral sampling step.
The selected record
Scientific evidence
A literature enriched for striking findings
Evolutionary history
Surviving clades enriched for strong early growth
The observed collection can accurately describe its members while misrepresenting the broader process.
The misleading appearance
Scientific evidence
An effect seems stronger and more consistent
Evolutionary history
Later ordinary growth looks like a decline
The bias is a change in what the analyst sees, not necessarily a change in the underlying phenomenon.
What carries across
Explain how cases entered the record before interpreting their pattern. A selected history can make exceptional outcomes look like the ordinary process.
Where the comparison stops
Publication and survival are different selection mechanisms. Deliberate or institutional reporting decisions do not have a literal counterpart in lineage survival.
- The evolutionary comparison is conditional on a diversification model; an apparent slowdown can have other causes. The comparison does not dismiss every slowdown or every published effect as selection bias.
Conditions for this comparison
- Entry into the observed record is related to the feature being interpreted.
- The intended inference concerns more than just the selected set itself.
Source entries
Shared pattern
Selection Bias
Prime
Core Idea
Selection bias is the fundamental principle that a study's inference can be distorted when the process by which units enter, remain in, or contribute data is associated with both the exposure and the outcome — whether through self-selection into recruitment, differential retention, survivorship patterns, or the structural conditioning on common effects (colliders). This distortion can make observed exposure-outcome associations unrepresentative of the target population or arise entirely from the selection mechanism itself, independent of true causal relationships. The concept spans both experimental-design/statistics origins (Berkson's 1946 hospital-bias recognition, Neyman's sampling-selection discussion) and econometrics origins (Heckman's 1979 formal treatment and 2000 Nobel-winning sample-selection model), making it a dual-origin principle essential to causal inference, observational research, and meta-analysis
Scientific evidence
Publication Bias
Domain-specific abstraction
Core Idea
When the probability of crossing that gate depends on direction, magnitude, statistical significance, novelty, or sponsor favorability, the visible record no longer represents the research that was conducted
Examples
Twenty teams test a weak effect. Sampling noise gives two teams large positive estimates that cross a significance threshold; those studies are submitted and published. The other eighteen studies remain unavailable. A later reviewer sees two concordant positive reports rather than twenty noisy attempts and overestimates both effect size and evidential consistency.
Evolutionary history
Push of the past
Domain-specific abstraction
Core Idea
Push of the past is the statistical enrichment of surviving old clades for favorable early diversification histories.