Alzheimer's disease targets: attention against the record

Where the number of people on a target does not match what the public record says. Findings, not recommendations.

Round 1 · 24 Sep 2026 · fred v0.3.0, fixed · 3 runs per target · 0 · digest computing

Prototype. All numbers, results and evidence lines are hand-written to show the format. Nothing here was produced by fred. Evidence lines are from memory and unverified.
no reason found reason found could not tell Finding: no reason found in 2 of 3 runs Attention 0 to 100: how many people are on it

Few people on it, no reason in the record

TargetRunsAttentionIn short

Many people on it, record no longer supports it

TargetRunsAttentionIn short
Open a target from Findings or All targets. Full pages: PLCG2, SORL1, KMO, BACE1, TREM2.

All targets

Attention: papers, trials, sponsors, patents, grants, scaled 0 to 100. Under 35: asked "why is nobody here?". 60 and above: asked "does the record support the crowd?". Between: not asked in round 1.

no reason found in the record reason found could not tell on My targets
TargetAttentionQuestion askedThree runsResultIn short

My targets

Your team's targets, same question, same engine. Private instance. Nothing here says leave.

TargetAttentionThree runsWhat changed since the last run

Flags on your targets

Rules

Written before use. Rules marked waiting came up during round 1 and need a decision by the scientist; they are not applied until made.

    How it works

    Scripts count attention. One fixed engine argues one question per target, both sides, then judges, three times. All three answers are published. Open questions go to a scientist, who writes a rule.

    1. Count the attention papers, trials, sponsors, patents, grants scripts only, no language model 2. Fix the evidence list every line checked against its source unverified lines are shown, not hidden 3. Ask the engine, three times field's side, other side, then a judgment fred v0.3.0, fixed; every lookup recorded 4. Publish all three answers, dated, never edited with the evidence, the reasons offered, and what the engine looked up Findings no reason found in 2 of 3 runs 5. Questions the run raised that no rule answers for example: does a reason with no source count? 6. A scientist writes the rule written down first; used in the next run A person decides what to do with a finding. The app gives no go, no no-go, no ranking.
    The engine is told whether few or many people are on the target. It is never told the number, and it is never asked whether the target is good.

    What the three answers mean

    The engine is not deterministic, so three runs can disagree. The disagreement is shown. Two "no reason found" out of three is a finding.

    What this app does not do

    Four things you can ask about any number on this page

    Which engine version. Was it run more than once. Where each piece of evidence came from. Who decided.

    Limits

    Checking the findings later

    Before round 1 the scientist wrote down the expected result for ten targets; the round is scored against it, misses kept. Two years after each round, every finding is checked against public events: a program started, a reason appeared, the crowd moved. Nothing is scored yet.

    Predictions written before round 1
    TargetQuestionExpectedWhyObserved