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claude-code - 💡(How to fix) Fix Model makes no distinction between inferred claims and verified claims — both produce equal confidence [1 comments, 1 participants]

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anthropics/claude-code#46738•Fetched 2026-04-12 13:34:21
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When Claude Code infers something from context (e.g., reading a config file structure) vs. actually verifying it (e.g., running a command to check runtime behavior), both produce equally confident assertions with no hedging language. There is no internal signal distinguishing "I pattern-matched this" from "I checked this."

Root Cause

The whole value proposition of Claude Code is that it has tools to CHECK things. When it skips verification and asserts with full confidence, users can't distinguish "Claude read the logs and confirmed X" from "Claude guessed X from a filename." This undermines trust in all of Claude's assertions.

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Description

When Claude Code infers something from context (e.g., reading a config file structure) vs. actually verifying it (e.g., running a command to check runtime behavior), both produce equally confident assertions with no hedging language. There is no internal signal distinguishing "I pattern-matched this" from "I checked this."

Reproduction

  1. Have a settings.json with multiple entries per hook event (e.g., 3 entries for the same PreToolUse hook — a known artifact of a bootstrap system)
  2. Ask Claude to assess the hook system
  3. Claude states "every hook fires 3x" as fact — inferred entirely from the config structure
  4. When challenged ("did you even see them or did you just guess from context?"), Claude confirms it guessed from structure without checking actual hook execution

Expected behavior

When Claude hasn't verified a claim via tool use (running a command, reading output, checking logs), it should:

  • Use hedging language ("I believe", "based on the config structure", "I haven't verified this but")
  • Or proactively verify before asserting

Claims derived from pattern matching should not produce the same confidence level as claims derived from direct observation via tools.

Actual behavior

Both inferred and verified claims produce identical assertion confidence. No hedging, no "I think", no caveat. The user must catch wrong assertions themselves.

Why this matters

The whole value proposition of Claude Code is that it has tools to CHECK things. When it skips verification and asserts with full confidence, users can't distinguish "Claude read the logs and confirmed X" from "Claude guessed X from a filename." This undermines trust in all of Claude's assertions.

Environment

  • Claude Code 2.1.84
  • Windows 10
  • Model: Opus 4.6 (1M context)

extent analysis

TL;DR

Modify Claude Code to differentiate between inferred and verified claims by using hedging language for unverified assertions.

Guidance

  • Review the code that generates assertions in Claude Code to identify where confidence levels are assigned, and modify it to distinguish between inferred and verified claims.
  • Introduce hedging language (e.g., "I believe", "based on the config structure") for claims derived from pattern matching without direct verification.
  • Consider adding a verification step before making assertions to ensure accuracy and build trust with users.
  • Evaluate the impact of this change on the overall user experience and trust in Claude Code's assertions.

Example

# Pseudocode example of introducing hedging language
if claim_is_inferred:
    print(f"I believe {claim} based on the config structure.")
else:
    print(f"{claim} has been verified.")

Notes

The exact implementation details may vary depending on the internal workings of Claude Code. This guidance assumes that the codebase has a clear distinction between inferred and verified claims, which may require additional investigation.

Recommendation

Apply workaround: Modify the code to introduce hedging language for unverified assertions, as this will help distinguish between inferred and verified claims, building trust with users.

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FAQ

Expected behavior

When Claude hasn't verified a claim via tool use (running a command, reading output, checking logs), it should:

  • Use hedging language ("I believe", "based on the config structure", "I haven't verified this but")
  • Or proactively verify before asserting

Claims derived from pattern matching should not produce the same confidence level as claims derived from direct observation via tools.

#vector store#embedding generation#cache error#pipeline error#runtime error

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claude-code - 💡(How to fix) Fix Model makes no distinction between inferred claims and verified claims — both produce equal confidence [1 comments, 1 participants]