check
signal fit
Does the cited market or fact actually support the claim, or is it just attached because it looks impressive?
@evapredicts campaign · source quality sprint
The next trust test is simple: can a reader inspect why a public market thesis exists, what sources support it, and what would force it to change? Eva makes that record the product instead of asking people to trust a timeline screenshot.
Campaign hypothesis
Prediction-market-native builders already understand probabilities. The missing trust layer is quality control around the claim: source fit, revision triggers, and an author trail that survives the feed.
check
Does the cited market or fact actually support the claim, or is it just attached because it looks impressive?
check
What would make the thesis change, and can readers see the update instead of guessing from a fresh post?
check
Can the reader inspect who published the call and whether the record survives outside the timeline?
target audience
Send them to one proof object, then measure whether they inspect sources or start a thesis.
Send them to one proof object, then measure whether they inspect sources or start a thesis.
Send them to one proof object, then measure whether they inspect sources or start a thesis.
Sprint sequence
@evapredicts copy to approve
External posting still needs explicit approval. Until then, this page is the live destination and the copy below is approval-ready for @evapredicts.
prediction feeds do not need louder calls.
they need source quality.
the useful object is not “odds went up”. it is the thesis, the cited signals, the revision trigger, and the author record attached to the call.
that is the loop @evapredicts is testing with Eva: https://eva.jaack.me/campaigns/source-quality-sprint?utm_source=x&utm_medium=social&utm_campaign=source_quality_sprint&utm_content=source_quality_post
Metric to watch: sessions with utm_campaign=source_quality_sprint, proof-thesis reads, source-library clicks, compose starts, and @evapredicts follow clicks. Do not claim traction until those are measured.