Methodology

Proof Score™

The intelligence standard that separates signal from noise.

Every piece of intelligence Bourbon Pour publishes carries a Proof Score — a 0–100 rating that tells you exactly how much weight to give it. No editorial bias. No hidden methodology. Here's precisely how we calculate it.

The Formula

Four pillars. One score.

Proof Score = (DD × 0.35) + (XR × 0.30) + (RW × 0.20) + (AC × 0.15)
01DD
Data Density
35%

How many verifiable, quantitative data points support the core claim? More primary-source numbers = higher density.

Primary data sourcesQuantitative evidenceVerifiable statisticsOfficial filings cited
02XR
Cross-Reference Score
30%

How many independent sources corroborate the signal? True convergence requires orthogonal data sources that reach the same conclusion independently.

Independent source countSource type diversityInstitutional validationCorroborating signals
03RW
Recency Weight
20%

How fresh is the underlying data? Markets move fast. Intelligence degrades. A 90-day-old signal is worth less than today's filing.

Data publication dateSignal detection lagSource update frequencyReal-time validation
04AC
Analyst Conviction
15%

Our editorial team's subjective confidence adjustment — applied only when primary data creates ambiguity. Used sparingly.

Internal peer reviewDomain expert validationPattern recognition historyContextual analysis
The Scale

What the numbers mean.

90–100
Conviction Grade

Act with high confidence. Multiple primary sources, strong corroboration, recent data.

75–89
Evidence Grade

Strong data backing. Minor gaps in sourcing or recency. Worth acting on with normal due diligence.

60–74
Signal Grade

Emerging pattern. Real signal but incomplete corroboration. Monitor and position lightly.

40–59
Watch Grade

Early indicator. Single source or aging data. Set alerts; don't act yet.

0–39
Developing

Noise level. Not enough evidence to call a signal. Published for transparency only.

Intelligence with a standard.

Every Bourbon Pour article shows its Proof Score, sub-scores, and sources. You decide how much weight to give it.

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