Map where the scientists agree, disagree, and leave questions open across the run: per-asset agreement and disagreement, evidence age, and unresolved questions
Describes where the scientists line up and where they diverge across a run, without resolving it into an action. For each asset it maps how many distinct analyses point the same way versus opposite, notes the age of the evidence behind each side, and lists the questions the research left unresolved. There is no accumulate/reduce/hold call and no conviction-weighted netting, only a descriptive map of agreement, disagreement, evidence freshness, and open questions. Use it to see at a glance whether the desks concur and where the real tension sits. This is neutral research context, not a recommendation to buy, sell, or size a position.
Mapping disagreement without resolving it - and why refusing to collapse a conflict is a design decision worth defending.
WHAT IT DOES. Per asset, how many analyses point the same way against how many point the other, the AGE of the evidence behind each side, and the questions the research left unresolved. It makes no accumulate or reduce call and applies no conviction-weighted ordering.
WHY DISAGREEMENT IS INFORMATION RATHER THAN NOISE. The instinct with conflicting analyses is to average them into a number. That can discard the informative part. Two analyses disagreeing MAY mean their methods or inputs differ in a way that matters - and may equally reflect random error or an unstable inference, so the divergence is worth investigating rather than assumed meaningful. Identifying where they diverge tells you what the open question is, which an average does not. Note the honest qualification: a properly calibrated combination of forecasts is often highly informative, so the objection is to averaging that CONCEALS material heterogeneity, not to combination as such.
EVIDENCE AGE IS THE FIELD MOST OFTEN MISSING FROM SUCH COMPARISONS, and its inclusion here is the sharpest thing in this analysis. Two findings pointing opposite ways may not be in conflict at all if one is a week old and the other from this morning - the world may simply have changed between them. Without timestamps, a stale finding and a current one look identical and get averaged as though they were simultaneous. Any comparison of conclusions needs to establish that they refer to the same moment before treating them as contradictory.
COUNTING ANALYSES IS NOT COUNTING EVIDENCE. Three analyses reading the same price series and reaching the same conclusion are one piece of evidence expressed three times. Correlated inputs inflate a tally on both sides at once, so a 4-to-2 split is not a 2-to-1 weight of evidence.
UNRESOLVED QUESTIONS ARE THE MOST USEFUL OUTPUT. Naming what the research did NOT settle is more actionable than a synthesised verdict, because it tells you what would change your mind - which is the only thing that makes a view revisable rather than merely held.
WHY NOT RESOLVE IT INTO AN ACTION. Two reasons, and the first is epistemic rather than procedural: the information needed to resolve a genuine conflict is usually not in the conflicting analyses. Collapsing them produces a confident-looking answer built from the same material that failed to settle the question. The second is that this is descriptive research and the reader's own circumstances - horizon, risk budget, existing exposure - are not inputs here and would have to be.
The conflict-counting convention is our own.
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