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Kalama10

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Kalama10 — Proof Standard

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What Is Kalama10?

Kalama10 is FPCOS's 10-gate proof standard. It is derived from the Kalama Sutta — a discourse on rational inquiry that pre-dates modern epistemology by two millennia — adapted for AI reasoning and claim verification.

The core principle: Accept a claim only when it survives scrutiny from evidence, consequence, and independent verification — not because it sounds right, comes from authority, or fits an existing model.

"Do not go by oral tradition, by lineage of teaching, by hearsay, by a collection of scriptures, by logic, by inferential reasoning, by reasoned cogitation, by the acceptance of a view after pondering it, by the seeming competence of a speaker, or because you think: 'The ascetic is our teacher.' When you know for yourselves: 'These things are unwholesome...' — then you should abandon them." — Kalama Sutta (adapted)


The 10 Gates

A claim is ACCEPTED only when it passes all 10 gates:

Gate Reject if accepted only because Required instead
K1 Rumor / word-of-mouth / "I heard that..." Independently verifiable source
K2 Tradition / "it's always been done this way" Evidence of current effectiveness in this context
K3 Logic alone, no empirical grounding Logic + at least one observed real-world consequence
K4 Analogy alone — "it's like X, and X works" Direct evidence for this specific case
K5 Preference / "it feels right" / comfort Preference ≠ truth — label preference as preference
K6 Authority alone — "experts say..." / "studies show..." Authority + independently testable claim
K7 Theory-fit — confirms existing model Alternative models seriously considered
K8 Single source / single teacher Multiple independent sources agreeing
K9 Consensus alone — "everyone agrees..." Consensus + traceable evidence chain
K10 "Seems reasonable" / plausibility Operationally tested in reality

Applying Kalama10 in Practice

Kalama10 does not require that every claim be proven before it can be used. It requires that the epistemic status of every claim be declared — which gates it has passed, which it has not.

Examples:

"The Fed rate decision will impact gold prices"

  • K1: Not rumor — established economic relationship
  • K3: Logic confirmed — rate rises → dollar strengthens → gold denominated in USD falls in international demand
  • K7: ✅ Alternative model considered — in USD terms, gold also acts as inflation hedge, may rise if inflation fear exceeds rate impact
  • Status: ACCEPTED with caveat — direction uncertain, competing mechanisms

"Experts agree that X product will succeed"

  • K6: FAILED — authority without independently testable claim
  • K8: FAILED — "experts" may be from the same incentive field
  • K9: FAILED — consensus without traceable evidence chain
  • Status: REJECTED as proof. Reclassify as INFERRED (optimistic model, authority-based)

The "Proof = Understanding" Axiom

A claim is not proven until you can explain WHY it is true from first principles — not just that it IS true.

This is the difference between:

  • Recall: "Gold falls when the dollar rises." (knows the correlation)
  • Understanding: "When the dollar rises, the same amount of gold costs more dollars — reducing demand from non-USD buyers, putting downward pressure on price." (knows the mechanism)

Kalama10 requires understanding, not recall. A claim passed by recall alone fails K3 (logic without mechanism) and K10 (not operationally understood).


Kalama10 and Domain Expertise

Domain expertise does not exempt any claim from Kalama10.

Being an expert narrows your prior — it does not eliminate the need for verification. In fact, experts are most vulnerable to K7 (theory-fit) and K5 (comfort with familiar models). The more deeply expert, the more likely that confirmation of existing models feels like evidence.

The FPCOS Skill Interface Contract explicitly states: "domain expertise ≠ exemption" from Kalama10.


Related Pages


← Back to Home

# Kalama10 — Proof Standard

[← Back to Home](Home)


What Is Kalama10?

Kalama10 is FPCOS's 10-gate proof standard. It is derived from the Kalama Sutta — a discourse on rational inquiry that pre-dates modern epistemology by two millennia — adapted for AI reasoning and claim verification.

The core principle: Accept a claim only when it survives scrutiny from evidence, consequence, and independent verification — not because it sounds right, comes from authority, or fits an existing model.

"Do not go by oral tradition, by lineage of teaching, by hearsay, by a collection of scriptures, by logic, by inferential reasoning, by reasoned cogitation, by the acceptance of a view after pondering it, by the seeming competence of a speaker, or because you think: 'The ascetic is our teacher.' When you know for yourselves: 'These things are unwholesome...' — then you should abandon them." — Kalama Sutta (adapted)


The 10 Gates

A claim is ACCEPTED only when it passes all 10 gates:

Gate Reject if accepted only because Required instead
K1 Rumor / word-of-mouth / "I heard that..." Independently verifiable source
K2 Tradition / "it's always been done this way" Evidence of current effectiveness in this context
K3 Logic alone, no empirical grounding Logic + at least one observed real-world consequence
K4 Analogy alone — "it's like X, and X works" Direct evidence for this specific case
K5 Preference / "it feels right" / comfort Preference ≠ truth — label preference as preference
K6 Authority alone — "experts say..." / "studies show..." Authority + independently testable claim
K7 Theory-fit — confirms existing model Alternative models seriously considered
K8 Single source / single teacher Multiple independent sources agreeing
K9 Consensus alone — "everyone agrees..." Consensus + traceable evidence chain
K10 "Seems reasonable" / plausibility Operationally tested in reality

Applying Kalama10 in Practice

Kalama10 does not require that every claim be proven before it can be used. It requires that the epistemic status of every claim be declared — which gates it has passed, which it has not.

Examples:

"The Fed rate decision will impact gold prices"

  • K1: Not rumor — established economic relationship
  • K3: Logic confirmed — rate rises → dollar strengthens → gold denominated in USD falls in international demand
  • K7: ✅ Alternative model considered — in USD terms, gold also acts as inflation hedge, may rise if inflation fear exceeds rate impact
  • Status: ACCEPTED with caveat — direction uncertain, competing mechanisms

"Experts agree that X product will succeed"

  • K6: FAILED — authority without independently testable claim
  • K8: FAILED — "experts" may be from the same incentive field
  • K9: FAILED — consensus without traceable evidence chain
  • Status: REJECTED as proof. Reclassify as INFERRED (optimistic model, authority-based)

The "Proof = Understanding" Axiom

A claim is not proven until you can explain WHY it is true from first principles — not just that it IS true.

This is the difference between:

  • Recall: "Gold falls when the dollar rises." (knows the correlation)
  • Understanding: "When the dollar rises, the same amount of gold costs more dollars — reducing demand from non-USD buyers, putting downward pressure on price." (knows the mechanism)

Kalama10 requires understanding, not recall. A claim passed by recall alone fails K3 (logic without mechanism) and K10 (not operationally understood).


Kalama10 and Domain Expertise

Domain expertise does not exempt any claim from Kalama10.

Being an expert narrows your prior — it does not eliminate the need for verification. In fact, experts are most vulnerable to K7 (theory-fit) and K5 (comfort with familiar models). The more deeply expert, the more likely that confirmation of existing models feels like evidence.

The FPCOS Skill Interface Contract explicitly states: "domain expertise ≠ exemption" from Kalama10.


Related Pages


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