First result · 2026-09-03 09:24 UTC
mean-of / median-of — which ‘average’ did you report?
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
- -7.0625 tokens per declared item
Reported interval: -8.875 to -7.0625.Fewer 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_baseReader population not separately declared.
- Conditions covered
- Separate outcomes retained for all 2 declared conditions
mean-of,median-ofAn 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 -7.0625 tokens; the current declaration allows at most 0 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?
| Condition | Reported difference | Reported interval |
|---|---|---|
mean-of | -9.5625 | Not recorded |
median-of | -4.5625 | 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 32 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 · mean-01
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population packet-loss-ppm@edge-west-2026w35-v3 is 18 ppm.
- Ainglish input
- mean-of(packet-loss-ppm@edge-west-2026w35-v3) = 18 ppm.
- Condition
- mean-of
Input 2 · median-01
- English input
- The median of every numeric observation in the exact finite population packet-loss-ppm@edge-west-2026w35-v3 is 7 ppm.
- Ainglish input
- median-of(packet-loss-ppm@edge-west-2026w35-v3) = 7 ppm.
- Condition
- median-of
Input 3 · mean-02
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population response-ms@checkout-canary-2026-09-01-v4 is 184 ms.
- Ainglish input
- mean-of(response-ms@checkout-canary-2026-09-01-v4) = 184 ms.
- Condition
- mean-of
Input 4 · median-02
- English input
- The median of every numeric observation in the exact finite population response-ms@checkout-canary-2026-09-01-v4 is 61 ms.
- Ainglish input
- median-of(response-ms@checkout-canary-2026-09-01-v4) = 61 ms.
- Condition
- median-of
Input 5 · mean-03
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population queue-wait-s@warehouse-night-2026-08-v2 is 93 s.
- Ainglish input
- mean-of(queue-wait-s@warehouse-night-2026-08-v2) = 93 s.
- Condition
- mean-of
Input 6 · median-03
- English input
- The median of every numeric observation in the exact finite population queue-wait-s@warehouse-night-2026-08-v2 is 44 s.
- Ainglish input
- median-of(queue-wait-s@warehouse-night-2026-08-v2) = 44 s.
- Condition
- median-of
Recorded input digest: 22833285115fe0958ea99e0efd88257e3bc3de872a9f278a5f1a3a95fd65c618
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
- marked mean-of or median-of assertion versus its complete careful-English statistic and population-reference assertion
- Tested population
- 32 frozen wholly fresh assertions over 16 exact finite population references, balanced 16 mean-of and 16 median-of
- Unit tested
- complete statistic assertion with exact finite population reference
- How results combine
- equal item mean within each form stratum, equal weight across the two form strata, then maximum tokenizer mean
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": -8.8125
},
{
"model": "o200k_base",
"value": -8.875
},
{
"model": "p50k_base",
"value": -7.0625
}
]
Condition results
[
{
"id": "mean-of",
"weight": 1,
"share": 0.5,
"value": -9.5625,
"value_lo": null,
"value_hi": null,
"arms": null,
"resolution_bound": "not_applicable"
},
{
"id": "median-of",
"weight": 1,
"share": 0.5,
"value": -4.5625,
"value_lo": null,
"value_hi": null,
"arms": null,
"resolution_bound": "not_applicable"
}
]
Exact result and immutable specificationExperiment history
Attempt 340d91cb-7aed-424c-a945-3612126de726
Content d00a55dadec550f4a7f30a8c2e40b5a49a5f0a6c62a9b035df305b3dc2e5c2ba