data

Confidence Scoring

A claim with strong documentation and cross-checks isn't the same as a claim with a single source. Confidence scoring quantifies that difference so you can make better decisions.

  • Confidence score = how much you should trust this claim, given the evidence
  • Sources, tests, and cross-references all feed into the score
  • High confidence = act. Low confidence = verify or flag for review.
  • The score doesn't replace judgment—it informs it
  • Useful for environmental claims, supplier data, and anything with greenwashing risk

Real-world example

Two suppliers claim '50% recycled content'

Supplier A sent a PDF from 2019 with no third-party audit. Supplier B sent a 2024 LCA with traceable batch numbers and verified by a known lab.

  • Supplier A: Single source, dated, no audit trail → Low confidence. Flag for verification.
  • Supplier B: Recent LCA, traceable, third-party verified → High confidence. Safe to use in reporting.
  • Same claim, different confidence. The number is identical; the defensibility is not.
  • Without scores, you're guessing. With scores, you're deciding with evidence.

Confidence scoring turns "we have some data" into "we know how much we can trust it."

What goes into a confidence score?
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How to use confidence scores
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Why this matters for sustainability
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Common mistakes
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