Transparency

State of the Record

Every figure here is counted live from the 70 cases currently on the record. Nothing is hand-picked. A fact-checking archive should be as auditable as the claims it checks.

70 casessince 29 Jun 202670% reached a primary source

Verdicts

Where cases land on the calibrated scale.

Mostly accurate35 / 50%

Source exists but framing is misleading15 / 21.4%

Partially accurate but misleading7 / 10%

False5 / 7.1%

Accurate4 / 5.7%

Inconclusive1 / 1.4%

Confidence

How sure the evidence allowed the verdict to be.

High41 / 58.6%

Medium18 / 25.7%

Low2 / 2.9%

Claim types

The only category dimension in the archive.

Distortions observed

How often each pattern shows up. Cases can carry more than one.

Exaggeration26 / 37.1%

Species extrapolation6 / 8.6%

Causal overreach6 / 8.6%

Fabrication6 / 8.6%

Subgroup generalization4 / 5.7%

Omitted qualifier3 / 4.3%

Marketing as evidence1 / 1.4%

Temporal overreach1 / 1.4%

Where claims came from

The origin platform or input type.

Instagram50 / 71.4%

Submitted text11 / 15.7%

Submitted image5 / 7.1%

TikTok1 / 1.4%

YouTube1 / 1.4%

Submitted video1 / 1.4%

Submitted audio1 / 1.4%

Cases per month

How the record has grown.

126-06

6426-07

526-08

Percentages are share of the whole archive and are recomputed on every visit. Cases can carry several distortions, so those bars do not sum to 100 percent. The archive reflects what has been submitted for checking, not a representative sample of everything circulating.