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Evidence

Compare two experiments

Check what changed in the question, wording or readers before comparing the numbers.

This view keeps both results separate. It does not calculate a combined score or decide whether they reproduce each other.

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Search for ordinary words from a proposal, then choose a match. Searching alone does not change the results below.

Choose two experiments by title, measurement and date. The choices include up to 50 newest public completed results, plus your current selections. Historical results stay labelled. For older records, use the evidence explorer or exact entry below.

Use an exact experiment identifier instead

A full attempt UUID entered here replaces the corresponding choice above. Content hashes are not result identifiers.

Clear comparison

Compare the essentials

Read each question across both results. A matching description is not proof that the studies are scientifically comparable.

QuestionFirst resultSecond result
Which proposal?on-purpose / by-accident — say whether an action you report was chosen or a slip2026-09-18 18:43 UTCon-purpose / by-accident — say whether an action you report was chosen or a slip2026-09-18 19:27 UTC
What was measured?token costHow does the wording change tokenizer units for the declared tokenizer population?token costHow does the wording change tokenizer units for the declared tokenizer population?
What was the result?2 tokens per declared itemReported interval: 1.5 to 2Counts in current evidence decisions2 tokens per declared itemReported interval: 1.5 to 2Counts in current evidence decisions
Compared with what?English comparison not recorded as a structured labelCurrent tokenizer cost, not comprehensionEnglish comparison not recorded as a structured labelCurrent tokenizer cost, not comprehension
Independently settled?Confirmed by eligible settlementEligible fresh-input replications currently give this original a settlement majority.Agrees with the named originalThis eligible row adds one agreement to the named original’s settlement tally.

Inspect first resultInspect second result

What differs in the declared methods?

These are literal recorded values, not a compatibility test. Matching declarations do not prove equivalent inputs or fair scoring. A missing structured field may be described elsewhere in the immutable specification.

What was measured · Same recorded value
First result
token_delta
Second result
token_delta
English comparison declarations · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Tested population · Same recorded value
First result
64 authored reports: eight domains, each crossing two forms, first/third-person doer and active/passive voice; equal cells. cl100k_base, o200k_base, p50k_base with tiktoken 0.14.0.
Second result
64 authored reports: eight domains, each crossing two forms, first/third-person doer and active/passive voice; equal cells. cl100k_base, o200k_base, p50k_base with tiktoken 0.14.0.
Unit tested · Same recorded value
First result
complete action-report pair
Second result
complete action-report pair
Named instruments (including order) · Same recorded value
First result
[
    "cl100k_base",
    "o200k_base",
    "p50k_base"
]
Second result
[
    "cl100k_base",
    "o200k_base",
    "p50k_base"
]
Reader exposure · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Exposure window · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
How results combine · Same recorded value
First result
{
    "reducer": "least_favourable",
    "rule": "Equal pair mean within each tokenizer, then maximum tokenizer mean; two equal-weight settlement strata preserve the separate forms."
}
Second result
{
    "reducer": "least_favourable",
    "rule": "Equal pair mean within each tokenizer, then maximum tokenizer mean; two equal-weight settlement strata preserve the separate forms."
}
Scoring declaration · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Conditions (including order) · Same recorded value
First result
[
    {
        "id": "on-purpose",
        "weight": 1
    },
    {
        "id": "by-accident",
        "weight": 1
    }
]
Second result
[
    {
        "id": "on-purpose",
        "weight": 1
    },
    {
        "id": "by-accident",
        "weight": 1
    }
]
First result: full recordtoken cost · 2 tokens per declared item

First result · 2026-09-18 18:43 UTC

on-purpose / by-accident — say whether an action you report was chosen or a slip

Counts in current evidence decisions. This row currently contributes to evidence decisions. Its direction is separate from whether the proposal is ready for adoption.

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
2 tokens per declared item
Reported interval: 1.5 to 2.

More tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

English comparison
English comparison not recorded as a structured label

Declared by the submitter; not a certification of equivalent information.

Tokenizer conditions
Literal encoding cost on the named current tokenizers; not comprehension.
Named instruments
cl100k_base, o200k_base, p50k_base

Reader population not separately declared.

Conditions covered
Separate outcomes retained for all 2 declared conditions

on-purpose, by-accident

An overall average can hide a weak condition. A condition list is not proof that every form or claim in the proposal was tested.

Settlement role
Confirmed by eligible settlement

Eligible fresh-input replications currently give this original a settlement majority.

Is this result within the cost allowance?
This headline is within the allowance. The reported difference is 2 tokens; the current declaration allows at most 3 tokens.

This compares Ainglish minus English with the current declaration, which may differ from the declaration when the result was filed. It checks the headline only: inspect any required per-form and per-tokenizer results too.

Has the original estimate been independently reproduced?
Confirmed by eligible settlement.

Eligible fresh-input replications currently give this original a settlement majority.

Reproduction asks whether fresh-input findings agree under the settlement rule. It does not ask whether either value satisfies the cost allowance.

Being within the cost allowance is not a completed prerequisite. Reproducing an original estimate is a separate check, not proof that the allowance is met. Current evidence status, settlement and every declared result still determine readiness.

How can one check pass while the other does not?

For example, an allowance of at most +3 tokens and an original estimate of +3 ask different questions. A replication of −0.5 is within that allowance but may disagree with the original. A replication of +3.25 may reproduce +3 within the settlement tolerance while exceeding the allowance.

These are illustrative numbers, not a new settlement rule. A cost saving is not a comprehension result, and a reproduced premium does not by itself mean a proposal should be adopted or rejected.

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use tokens. Condition names come from the frozen experiment.
ConditionReported differenceReported interval
on-purpose2 Not recorded
by-accident2 Not recorded

A missing condition interval is not zero uncertainty. An overall interval cannot substitute for agreement in every load-bearing condition.

Inspect actual inputs and recorded answers

The comparison label is the submitter’s declaration, not a semantic certification. Check that both versions preserve the information needed to answer the same question.

Numbers count only readable inputs attached to this receipt. They are not the experiment’s declared sample size or the number of reader calls.

Showing 1–6 of 64 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 1 · intention-cost-software_operations-0

English input
I rerouted the staging webhook to the sandbox listener deliberately.
Ainglish input
I rerouted the staging webhook to the sandbox listener on-purpose.
Condition
on-purpose

Input 2 · intention-cost-software_operations-1

English input
I overwrote the nightly export with the diagnostic bundle by mistake.
Ainglish input
I overwrote the nightly export with the diagnostic bundle by-accident.
Condition
by-accident

Input 3 · intention-cost-software_operations-2

English input
The maintainer disabled the preview deployment hook deliberately.
Ainglish input
The maintainer disabled the preview deployment hook on-purpose.
Condition
on-purpose

Input 4 · intention-cost-software_operations-3

English input
The operator exposed the internal trace endpoint by mistake.
Ainglish input
The operator exposed the internal trace endpoint by-accident.
Condition
by-accident

Input 5 · intention-cost-software_operations-4

English input
The fallback resolver was selected by me deliberately.
Ainglish input
The fallback resolver was selected by me on-purpose.
Condition
on-purpose

Input 6 · intention-cost-software_operations-5

English input
The retention override was removed by me by mistake.
Ainglish input
The retention override was removed by me by-accident.
Condition
by-accident

Recorded input digest: 169668e62e1c8eb1e45f27db2ad919a77da38d0097dfe86aecde3862131d3d5c

Prompts, reference material and other context can live elsewhere in the specification. Inputs and keys alone do not reconstruct every reader call or establish a fair comparison.

Declared population, method and retained outcomes
Compared with
Sentence-final on-purpose/by-accident versus the declared short token comparators deliberately/by mistake, with all other report wording identical; not the explicit-intention diagnostic.
Tested population
64 authored reports: eight domains, each crossing two forms, first/third-person doer and active/passive voice; equal cells. cl100k_base, o200k_base, p50k_base with tiktoken 0.14.0.
Unit tested
complete action-report pair
How results combine
Equal pair mean within each tokenizer, then maximum tokenizer mean; two equal-weight settlement strata preserve the separate forms.

These are the study author’s declarations. A finding applies to this tested scope; this summary does not establish that another study is comparable.

Absolute arm results, reader-specific results and condition results below are retained values, not a newly pooled analysis. Accuracy arms use fractions from 0 to 1; their difference uses percentage points.

Absolute arm results

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": 1.5
    },
    {
        "model": "o200k_base",
        "value": 1.5
    },
    {
        "model": "p50k_base",
        "value": 2
    }
]

Condition results

[
    {
        "id": "on-purpose",
        "weight": 1,
        "share": 0.5,
        "value": 2,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "by-accident",
        "weight": 1,
        "share": 0.5,
        "value": 2,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 96783727-5c3e-433f-bd61-0b88a250c8a9
Content 65baca6764ab7a5420e8913f4bb86f5273897aefdb4b9fca4db7c2aa13da9897

Second result: full recordtoken cost · 2 tokens per declared item

Second result · 2026-09-18 19:27 UTC

on-purpose / by-accident — say whether an action you report was chosen or a slip

Counts in current evidence decisions. This row currently contributes to evidence decisions. Its direction is separate from whether the proposal is ready for adoption.

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
2 tokens per declared item
Reported interval: 1.5 to 2.

More tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

English comparison
English comparison not recorded as a structured label

Declared by the submitter; not a certification of equivalent information.

Tokenizer conditions
Literal encoding cost on the named current tokenizers; not comprehension.
Named instruments
cl100k_base, o200k_base, p50k_base

Reader population not separately declared.

Conditions covered
Separate outcomes retained for all 2 declared conditions

on-purpose, by-accident

An overall average can hide a weak condition. A condition list is not proof that every form or claim in the proposal was tested.

Settlement role
Agrees with the named original

This eligible row adds one agreement to the named original’s settlement tally.

Is this result within the cost allowance?
This headline is within the allowance. The reported difference is 2 tokens; the current declaration allows at most 3 tokens.

This compares Ainglish minus English with the current declaration, which may differ from the declaration when the result was filed. It checks the headline only: inspect any required per-form and per-tokenizer results too.

Has the original estimate been independently reproduced?
Agrees with the named original. This replication reports 2 tokens; the named original reported 2.

This eligible row adds one agreement to the named original’s settlement tally.

Reproduction asks whether fresh-input findings agree under the settlement rule. It does not ask whether either value satisfies the cost allowance.

Being within the cost allowance is not a completed prerequisite. Reproducing an original estimate is a separate check, not proof that the allowance is met. Current evidence status, settlement and every declared result still determine readiness.

How can one check pass while the other does not?

For example, an allowance of at most +3 tokens and an original estimate of +3 ask different questions. A replication of −0.5 is within that allowance but may disagree with the original. A replication of +3.25 may reproduce +3 within the settlement tolerance while exceeding the allowance.

These are illustrative numbers, not a new settlement rule. A cost saving is not a comprehension result, and a reproduced premium does not by itself mean a proposal should be adopted or rejected.

This result checks a named original, not every experiment on the proposal. Read its target original

Compare with the exact target attempt

Every declared condition must agree. Overlapping overall intervals alone do not confirm this original.

How much input text was reused?

100.0% of complete English–Ainglish pairs are fresh.

  • 0 of 64 English inputs reuse text from either side of the original.
  • 0 of 64 Ainglish inputs reuse text from either side of the original.

Declared item-bank digests: different. This compares bank identity, not shared sentences; different bank digests can still contain identical pairs.

Exact text comparisons only; repeated occurrences count separately. Shared text can deserve scrutiny even when each complete pair is new. These arm counts are descriptive and do not change settlement eligibility.

Declared target content identity65baca6764ab7a5420e8913f4bb86f5273897aefdb4b9fca4db7c2aa13da9897

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use tokens. Condition names come from the frozen experiment.
ConditionReported differenceReported interval
on-purpose2 Not recorded
by-accident2 Not recorded

A missing condition interval is not zero uncertainty. An overall interval cannot substitute for agreement in every load-bearing condition.

Inspect actual inputs and recorded answers

The comparison label is the submitter’s declaration, not a semantic certification. Check that both versions preserve the information needed to answer the same question.

Numbers count only readable inputs attached to this receipt. They are not the experiment’s declared sample size or the number of reader calls.

Showing 1–6 of 64 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 1 · sat-intention-cost-20260918-marine_maintenance-0

English input
I shifted the mooring line to the storm cleat deliberately.
Ainglish input
I shifted the mooring line to the storm cleat on-purpose.
Condition
on-purpose

Input 2 · sat-intention-cost-20260918-marine_maintenance-1

English input
I dented the compass housing while closing the locker by mistake.
Ainglish input
I dented the compass housing while closing the locker by-accident.
Condition
by-accident

Input 3 · sat-intention-cost-20260918-marine_maintenance-2

English input
The harbour engineer drained the inspection sump deliberately.
Ainglish input
The harbour engineer drained the inspection sump on-purpose.
Condition
on-purpose

Input 4 · sat-intention-cost-20260918-marine_maintenance-3

English input
The deckhand crossed the signal halyards by mistake.
Ainglish input
The deckhand crossed the signal halyards by-accident.
Condition
by-accident

Input 5 · sat-intention-cost-20260918-marine_maintenance-4

English input
The spare beacon was mounted on the aft rail by me deliberately.
Ainglish input
The spare beacon was mounted on the aft rail by me on-purpose.
Condition
on-purpose

Input 6 · sat-intention-cost-20260918-marine_maintenance-5

English input
The bilge sensor was unplugged by me during cleaning by mistake.
Ainglish input
The bilge sensor was unplugged by me during cleaning by-accident.
Condition
by-accident

Recorded input digest: 2c466f633b3a719d1a5ab8ddd0d1a8079285aa7fea676b023f4e643b7a935587

Prompts, reference material and other context can live elsewhere in the specification. Inputs and keys alone do not reconstruct every reader call or establish a fair comparison.

Declared population, method and retained outcomes
Compared with
Sentence-final on-purpose/by-accident versus the declared short token comparators deliberately/by mistake, with all other report wording identical; not the explicit-intention diagnostic.
Tested population
64 authored reports: eight domains, each crossing two forms, first/third-person doer and active/passive voice; equal cells. cl100k_base, o200k_base, p50k_base with tiktoken 0.14.0.
Unit tested
complete action-report pair
How results combine
Equal pair mean within each tokenizer, then maximum tokenizer mean; two equal-weight settlement strata preserve the separate forms.

These are the study author’s declarations. A finding applies to this tested scope; this summary does not establish that another study is comparable.

Absolute arm results, reader-specific results and condition results below are retained values, not a newly pooled analysis. Accuracy arms use fractions from 0 to 1; their difference uses percentage points.

Absolute arm results

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": 1.5
    },
    {
        "model": "o200k_base",
        "value": 1.5
    },
    {
        "model": "p50k_base",
        "value": 2
    }
]

Condition results

[
    {
        "id": "on-purpose",
        "weight": 1,
        "share": 0.5,
        "value": 2,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "by-accident",
        "weight": 1,
        "share": 0.5,
        "value": 2,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 0c72112f-08d4-4c76-99e9-a9ab153f8831
Content a904c65a20959ce6af0cd6d706d2427347e01ee4a81a4c0ad090a42eee0bd478

Different wording, readers, exposure or populations can legitimately produce different results. A visible reference is not training the model’s weights. Current models and tokenizers have learned English; future Ainglish-trained performance remains a research question.