Evidence Grading¶
Information on racing pigeon genetics and health comes from a wide range of sources, and its evidential strength is uneven. From rigorous peer-reviewed studies to scattered fancier experience, credibility differs enormously. Understanding an evidence grading system is the basis for reading information scientifically and deciding rationally.
Plain-language explanation (an analogy)¶
Evidence grading is like giving a piece of information a credit rating - not every claim is equally trustworthy. A rigorous peer-reviewed study is like a "bank certificate of deposit"; experience passed on by word of mouth among fanciers is like "hearsay". Learning to read the "rating" is what lets you pick out the genuinely sound conclusions from a mass of information.
Why evidence grading is needed¶
The racing pigeon field contains a great deal of "experiential" and "legendary" information, among which:
- some information has no scientific basis;
- some information is individual experience that has never been systematically verified;
- some information is exaggerated or misleading;
- conclusions that have actually been verified by rigorous research are relatively limited.
Evidence grading helps us tell credible information apart within a mass of claims and reach more rational judgements.
The evidence level system¶
A simplified evidence grading framework (from high to low):
- Systematic reviews and meta-analyses: combine several high-quality studies; the strongest evidence;
- Randomised controlled trials: control variables and set up controls; stronger causal inference;
- Cohort and case-control studies: observational studies that can suggest associations;
- Cross-sectional studies and case reports: provide clues, with limited evidential strength;
- Expert opinion and experience: has reference value but lacks systematic verification.
Association versus causation¶
A key concept when reading genetic association studies is that association is not causation:
- Association: a genotype and a trait occur together statistically;
- Causation: the genotype directly causes the change in the trait;
- many gene association studies can only suggest a "possible association" and cannot establish causation;
- confounding factors, multiple testing and insufficient sample size can all produce spurious associations.
Principles for reading research conclusions¶
When faced with research conclusions about racing pigeons, follow these principles:
- Check the source: does it come from a peer-reviewed academic journal;
- Check the method: is the study design rigorous and the sample size adequate;
- Check the wording: is the conclusion cautious, does it acknowledge its limitations;
- Check reproducibility: has the conclusion been verified repeatedly by more than one study;
- Stay cautious: be wary of wording such as "absolute", "guaranteed" or "certain".
This site's position on evidence¶
This research center holds to the following positions:
- cite only real, traceable literature;
- use cautious wording for research conclusions (such as "research suggests", "may be associated");
- keep "scientific evidence" and "experiential reference" clearly apart;
- do not exaggerate, do not fabricate, do not mislead.
Related topics¶
Main site testing services¶
To learn more about racing pigeon genetic testing services, visit the Seno Genetic Testing Center main site -> Knowledge Center.