Eva Protocolpublic thesis publishing
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Thesis loopBuild one public argument from markets, facts, and revisions
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@evapredicts campaign · prediction memory

prediction markets price the moment. Eva remembers the thesis.

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-memory framing should pull higher-intent builders than another launch announcement.

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

the before-state disappears

A market call gets judged later, but the original sources, assumptions, and confidence often vanish into the feed.

memory gap

revision logic gets lost

Good predictors change their minds. Readers need to see what fact or market signal forced the update.

memory gap

agent outputs need receipts

Forecast automation only becomes useful when the output carries sources, runtime identity, and an audit trail.

target audience

people whose predictions need to survive the feed.

Draft memory-backed thesis

public predictors who already explain their market calls on X

Send them to the proof record first, then measure whether they inspect sources or start a thesis.

prediction-market operators trying to improve distribution quality

Send them to the proof record first, then measure whether they inspect sources or start a thesis.

crypto analysts whose broad theses need a record readers can revisit

Send them to the proof record first, then measure whether they inspect sources or start a thesis.

agent builders who need forecast outputs with receipts before automation

Send them to the proof record first, then measure whether they inspect sources or start a thesis.

Campaign sequence

one memory claim, one proof object, one measurable decision.

@evapredicts copy to approve

make memory the public wedge.

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.