Question 677: Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks

Original question and givens

Use complete theta labels=[a1, b1], samples=[10, 11, 12, 13], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).

• G001 — Use complete theta labels=[a1, b1], samples=[10, 11, 12, 13], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).

Definition and scope

One positive-mass fiber with differing conditional laws refutes sufficiency. An injective statistic is sufficient; a constant one exactly when all laws agree; zero-mass cells stay null.

• mko-finite-sufficient-statistic

Step-by-step derivation

Θ=[a1, b1]; Ω=[10, 11, 12, 13]

[[1/2, 0, 1/2, 0], [0, 1/2, 0, 1/2]]

P_a1(Ω) := sum(1/2, 0, 1/2, 0)

P_a1(Ω) = 1

P_b1(Ω) := sum(0, 1/2, 0, 1/2)

P_b1(Ω) = 1

sample=10

T(10)=0

sample=11

T(11)=1

sample=12

T(12)=0

sample=13

T(13)=1

[(10, 0), (11, 1), (12, 0), (13, 1)]

fibers=[[0, [10, 12]], [1, [11, 13]]]

P_a1(T=0) := sum(1/2, 1/2)

P_a1(T=0) = 1

P_a1(10|T=0) := div(1/2, 1)

P_a1(10|T=0) = 1/2

reconstruct atom 10 under a1 := mul(1/2, 1)

reconstruct atom 10 under a1 = 1/2

P_a1(12|T=0) := div(1/2, 1)

P_a1(12|T=0) = 1/2

reconstruct atom 12 under a1 := mul(1/2, 1)

reconstruct atom 12 under a1 = 1/2

conditional total (a1,0) := sum(1/2, 1/2)

conditional total (a1,0) = 1

P_a1(T=1) := sum(0, 0)

P_a1(T=1) = 0

P_a1(T=1)=0

conditional=null (undefined)

P_b1(T=0) := sum(0, 0)

P_b1(T=0) = 0

P_b1(T=0)=0

conditional=null (undefined)

P_b1(T=1) := sum(1/2, 1/2)

P_b1(T=1) = 1

P_b1(11|T=1) := div(1/2, 1)

P_b1(11|T=1) = 1/2

reconstruct atom 11 under b1 := mul(1/2, 1)

reconstruct atom 11 under b1 = 1/2

P_b1(13|T=1) := div(1/2, 1)

P_b1(13|T=1) = 1/2

reconstruct atom 13 under b1 := mul(1/2, 1)

reconstruct atom 13 under b1 = 1/2

conditional total (b1,1) := sum(1/2, 1/2)

conditional total (b1,1) = 1

valid positive-mass laws for T=0: [[a1, [[10, 1/2], [12, 1/2]]]]

parameter-invariant: Yes

valid positive-mass laws for T=1: [[b1, [[11, 1/2], [13, 1/2]]]]

parameter-invariant: Yes

[[0, [[a1, [[10, 1/2], [12, 1/2]]]], Yes], [1, [[b1, [[11, 1/2], [13, 1/2]]]], Yes]]

all fibers invariant: Yes

[[a1, 1, 0, null], [b1, 0, 0, null]]

zero-mass cells do not supply a fabricated conditional law

Reverse checks

• S028 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S027 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S026 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S025 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S024 · premise_and_result_audit — Recompute conditional total (b1,1) with exact rational arithmetic, not rounded decimals.
• S023 · premise_and_result_audit — Recompute reconstruct atom 13 under b1 with exact rational arithmetic, not rounded decimals.
• S022 · premise_and_result_audit — Recompute P_b1(13|T=1) with exact rational arithmetic, not rounded decimals.
• S021 · premise_and_result_audit — Recompute reconstruct atom 11 under b1 with exact rational arithmetic, not rounded decimals.
• S020 · premise_and_result_audit — Recompute P_b1(11|T=1) with exact rational arithmetic, not rounded decimals.
• S019 · premise_and_result_audit — Recompute P_b1(T=1) with exact rational arithmetic, not rounded decimals.
• S018 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S017 · premise_and_result_audit — Recompute P_b1(T=0) with exact rational arithmetic, not rounded decimals.
• S016 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S015 · premise_and_result_audit — Recompute P_a1(T=1) with exact rational arithmetic, not rounded decimals.
• S014 · premise_and_result_audit — Recompute conditional total (a1,0) with exact rational arithmetic, not rounded decimals.
• S013 · premise_and_result_audit — Recompute reconstruct atom 12 under a1 with exact rational arithmetic, not rounded decimals.
• S012 · premise_and_result_audit — Recompute P_a1(12|T=0) with exact rational arithmetic, not rounded decimals.
• S011 · premise_and_result_audit — Recompute reconstruct atom 10 under a1 with exact rational arithmetic, not rounded decimals.
• S010 · premise_and_result_audit — Recompute P_a1(10|T=0) with exact rational arithmetic, not rounded decimals.
• S009 · premise_and_result_audit — Recompute P_a1(T=0) with exact rational arithmetic, not rounded decimals.
• S008 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S007 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S006 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S005 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S004 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.
• S003 · premise_and_result_audit — Recompute P_b1(Ω) with exact rational arithmetic, not rounded decimals.
• S002 · premise_and_result_audit — Recompute P_a1(Ω) with exact rational arithmetic, not rounded decimals.
• S001 · premise_and_result_audit — Retain every parameter and sample label; distinguish null, empty tables, zero distributions and tied optima.

Result

(zero_mass, [[0, [[a1, [[10, 1/2], [12, 1/2]]]], Yes], [1, [[b1, [[11, 1/2], [13, 1/2]]]], Yes]], Yes, [[a1, 1, 0, null], [b1, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)

The full substitutions and premise audits recover the original answer, retaining its field order and verdict meanings.

This question review and source binding

Review date: 2026-10-26

Original questions, answers, step expressions, numeric ASTs and historical records are retained. Source candidate labels remain historical and are not overwritten as formal proof.