Mutually exclusive highlights a single best-supported hypothesis. Independent highlights every hypothesis with net-positive support.
Adds sensitivity, distribution, recipients, handling, and business area fields to each evidence row. The project banner auto-escalates to the most restrictive value across all evidence.
Switching profiles resets all handling fields to empty.
Hypotheses
Define mutually exclusive explanations. Each becomes a scored column below.
Evidence Matrix
Rate each piece of evidence against every hypothesis. Note its source type, citation, credibility, and relevance, then log the assumptions required to trust it.
II — very inconsistentI — inconsistentU — unknownC — consistentCC — very consistent
Support Score
Each rating contributes II=−2, I=−1, U=0, C=+1, CC=+2. Highest total is the best-supported hypothesis.
low=0.5×, medium=1×, high=1.5× per evidence — applies to this score only, not the chart below
Note — classical ACH argues evidence should disconfirm rather than confirm: when hypotheses are mutually exclusive, the strongest one is often whichever has the fewest inconsistencies, not the most consistent evidence, since confirming evidence is rarely diagnostic (it tends to be consistent with several hypotheses at once). If you've set hypotheses to independent, treat each hypothesis's score on its own terms instead of looking for a single winner — more than one can be well-supported at once.
Consistency vs. Assumption Load
X = weighted assumptions required for the evidence to be true · Y = consistency rating for the selected hypothesis(es). Points are ordered from fewest assumptions / lowest consistency to most assumptions / highest consistency and connected in that order; the dashed line is each hypothesis's average.
Assumption weight —weights are added per assumption on a piece of evidence — tune to your own risk criteria