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@evapredicts campaign · source quality sprint

prediction feeds need source quality, not louder calls.

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

source-quality framing will create higher-intent clicks than generic launch copy.

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

signal fit

Does the cited market or fact actually support the claim, or is it just attached because it looks impressive?

check

revision trigger

What would make the thesis change, and can readers see the update instead of guessing from a fresh post?

check

author trail

Can the reader inspect who published the call and whether the record survives outside the timeline?

target audience

people who need market calls to be checkable later.

Draft sourced thesis

prediction-market operators who need higher-quality distribution than raw odds links

Send them to one proof object, then measure whether they inspect sources or start a thesis.

agent builders who want public forecasts to carry inspectable evidence before automation

Send them to one proof object, then measure whether they inspect sources or start a thesis.

crypto analysts whose calls need a record readers can revisit after the market moves

Send them to one proof object, then measure whether they inspect sources or start a thesis.

Sprint sequence

one angle, one proof object, one decision.

@evapredicts copy to approve

make source quality the public ask.

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.