How it works.

We forecast trials, keep score, and turn every miss into the next experiment.

A forecast is made, fingerprinted the same day, sealed until the trial reads out, then revealed and checked against its fingerprint.

Forecast first, then wait for the result.

Each forecast draws on earlier trials, the drug's biology and how often trials like it succeed. It is sealed the day it is made.

Pioglitazone: the model predicted a 10% drop in liver fat; the trial found 54%. The gap points to a missing link.

A miss shows where the model is wrong.

Every miss becomes an unknown: a link nobody has measured, a number that is only a guess, or studies that disagree.

Three candidate experiments are ranked by how much each would teach; the top one is chosen to run next.

The next experiment is the one that teaches most.

Experiments are ranked by how much each would settle, per dollar. Each result updates the model and re-ranks the rest.

What changes with a world model

Eight steps of science, as they work today and as a shared model would run them.

What changes with a world model
Predicting what worksMost drugs that reach human trials fail, often because the biology was misunderstood.Forecast every trial before it reads out, and keep score in public.
Reading the literatureOver a million biomedical papers a year. Nobody can read them all.Every claim, number and method from every paper, trial and dataset, read and linked.
Knowing what's knownEach lab keeps its own mental model of a disease.One shared model per disease, every number pooled from all studies, with honest uncertainty.
Picking the next experimentDriven by what a lab can already do, what gets funded and what gets published.Ranked by how much each experiment would teach, per dollar.
Finding what's unknownSpotted informally, one scientist at a time.Found automatically: links nobody has measured, numbers poorly pinned down, studies that conflict.
Running the experimentEvery lab has its own recipe, so results rarely combine.Standard, machine-readable protocols that any qualified lab can run.
Updating what we knowYears, through papers, reviews and textbooks.The model updates within minutes of a result and re-ranks what to test next.
Negative resultsMostly never published, so failures get repeated.Every result counts. The model needs “ruled out” as much as “found”.

Try the loop with a loaf of bread

The recipe promised a tall loaf. It came out dense. Test your way to the reason in a few clicks.

The mystery

Promised 2.0×Actual 1.3×

The recipe promised the loaf would rise 2.0×. It rose 1.3×.

So 0.7× of rise is missing. Something is wrong, and we don't know what.

Missing rise explained so far0.0× of 0.7×
Next test

Check that the yeast is alive

Stir a spoonful of yeast into warm sugar water and see if it foams within 10 minutes.

Why this one next: If the answer is "yes, that's the problem", it could explain up to 0.8× of the missing rise, and it's the best value for the effort (free · 10 minutes).

Free · 10 minutes

The loop

Every test goes all the way round. Run the first one and watch each step fill in.

  1. 1. What we don't knowIs the yeast still alive?
  2. 2. The testCheck that the yeast is alive
  3. 3. The result

    What the test shows.

  4. 4. The picture updates

    Suspects are ruled out or confirmed; the gap is re-measured.

  5. 5. What to test next

    Every remaining test is re-ranked.

What we don't know yet

Every possible cause, sorted by why it's uncertain. Each has a test that would settle it.

Never checked

Things that could matter but nobody has looked at.

  • Test #1
    Is the yeast still alive?

    The packet was opened 8 months ago, and nobody has checked it since.

    Check that the yeast is alive · Free · 10 minutes
  • Test #5
    Does chlorine in tap water slow the yeast?

    People argue about it, but nobody has checked with this water.

    Bake two mini loaves: tap water vs bottled · An afternoon

Only a rough guess

Things we have a number for, but a shaky one, or from a single source.

  • Test #2
    How hot does the oven really get?

    The dial says 450°F, but home ovens often run 25–50° off. It's only a guess.

    Check the oven with a thermometer · $10 · 1 day
  • Test #3
    Does this flour need more water?

    A single blog post says so. No one else has tested it.

    Try a slightly wetter dough · An afternoon

Sources disagree

Places where the advice points in different directions.

  • Test #4
    Do you have to knead for 10 minutes?

    One forum says knead for 10 minutes; another says no-knead bread rises just as well.

    Knead one loaf, not the other · An afternoon

The picture: how bread rises

Everything bakers know, in one diagram. Side inputs are the suspects; the last one that changed is ringed.

YeastMakes gasDough traps gasOven sets bubblesLoaf heightTap waterFlour & waterKneadingOven temperature

suspect, untested ruled out a cause new idea

From bread to biology

OpenQuestion runs this same loop on open questions in human disease.

From bread to biology
The dense loafAn open questionWhy fat builds up in the liver in type 2 diabetes
Cookbooks, forums, other bakers' notesPapers, trials, datasets29 papers and 7 dataset records
How bread risesThe causal modelFat supply, fat made in the liver, fat export, body weight
“The loaf should rise 2×”A prediction“Pioglitazone should cut liver fat about 10%”
It rose 1.3×A trial that disagreesA trial measured 54%
SuspectsKnowledge gapsMissing links, numbers poorly pinned down, studies that conflict
Yeast in sugar water, an oven thermometerLab experimentsCell and worm experiments at qualified labs
“The kitchen is too cold” (new idea)A proposed missing mechanismAdiponectin makes the liver burn fat
A baker in Denver shares a resultLabs worldwide feeding one shared modelEvery lab's result updates the same model
Bake again and checkConfirm a new predictionPredict a trial before it reports

Tips

  • Find any trial

    Search by drug, disease, sponsor or NCT number to see whether its forecast is sealed.
  • Read the rules

    Which trials count, what meeting the goal means, and what keeps the model honest.