memory gap
the before-state disappears
A market call gets judged later, but the original sources, assumptions, and confidence often vanish into the feed.
@evapredicts campaign · prediction memory
The public prediction feed is full of odds screenshots and confident takes. Eva turns a market call into an inspectable record: claim, cited signals, revision triggers, and an author trail people can check after the timeline moves on.
Campaign hypothesis
Prediction-market-native readers do not need Eva to explain that odds exist. The sharper pain is memory: what did this person think, why did they think it, and what changed later? The campaign asks them to inspect one concrete thesis record before following the public loop.
memory gap
A market call gets judged later, but the original sources, assumptions, and confidence often vanish into the feed.
memory gap
Good predictors change their minds. Readers need to see what fact or market signal forced the update.
memory gap
Forecast automation only becomes useful when the output carries sources, runtime identity, and an audit trail.
target audience
Send them to the proof record first, then measure whether they inspect sources or start a thesis.
Send them to the proof record first, then measure whether they inspect sources or start a thesis.
Send them to the proof record first, then measure whether they inspect sources or start a thesis.
Send them to the proof record first, then measure whether they inspect sources or start a thesis.
Campaign 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 markets are good at showing what people think now.
but they are bad at remembering why anyone thought it.
that is the wedge for Eva: public market theses with cited signals, revision history, and an author trail.
not louder calls. better memory.
first proof object: https://eva.jaack.me/campaigns/prediction-memory?utm_source=x&utm_medium=social&utm_campaign=prediction_memory&utm_content=memory_post
Metric to watch: sessions with utm_campaign=prediction_memory, proof-thesis reads, source-quality page visits, compose starts, and @evapredicts follow clicks. Do not claim traction until those are measured.