Read the record. Understand the limits.
Practical guides to historical charts, source quality and public prediction claims.
How public prediction claims should be audited
A useful audit retains the exact public URL, named market, source-assigned date, identifiable selections and a preserved capture demonstrating what was visible before the result. An old upload timestamp alone does not establish what its title or description said at that time.
Read guide ↗Research literacyCorrelation, prediction and overfitting
Frequency and gaps describe a selected dataset. They do not establish that an outcome is due, hot, cold or more likely tomorrow. Missing records and changes in source coverage can distort patterns.
Read guide ↗Research literacyHow historical result charts work
A chart pairs a source-assigned date with a two-digit result. 00 is a valid recorded value; a missing cell is not zero. Compare the same market, date convention and session before treating two sources as conflicting.
Read guide ↗Research literacyWhy multiple selections distort apparent accuracy
When a published claim contains several numbers, its coverage differs from a single-number claim. Remove duplicates within that selection set and disclose the full list size.
Read guide ↗