What supports The Word Index commonness tiers
Published for direct use; search approval pending. Its mechanically validated result is available, but the page remains noindex and outside sitemaps while human editorial and source-rights review is incomplete.
Result
Only 8.22% of safe records receive a tier directly from an eligible observed rank; the remainder use declared fallback or demotion rules.
- Analysis population
- 394,445
- Records assigned a tier from an eligible observed rank
- 8.22%
- Records assigned by fallback or demotion
- 91.78%
Only 8.22% of safe records receive a tier directly from an eligible observed rank; the remainder use declared fallback or demotion rules.
Why the label is build-specific
The observed counts come from one pinned subtitle-derived artifact. Tier fallbacks also use exact source-list membership. A tier is therefore a reproducible ordering aid for this build, not universal commonness.
Higher-ranked and full result populations by length
The adjacent table supplies every exact value in the chart.
Population and exclusions
| Population stage | Records (records) |
|---|---|
| Raw lexical ledger | 394595 |
| Excluded by product policy | 150 |
| Safe normalized-spelling records | 394445 |
| Records meeting this study's inclusion criteria | 394445 |
How much of the index has observed frequency evidence
| Evidence class | Records (records) | Share (percent) |
|---|---|---|
| Retained subtitle-corpus observation | 37318 | 9.46 |
| Tier assigned from an eligible observed rank | 32414 | 8.22 |
| Tier assigned by a fallback or demotion rule | 362031 | 91.78 |
Every tier assignment rule
| Tier | Assignment reason | Records (records) | Share (percent) |
|---|---|---|---|
| 1 | observed-top-10000 | 9943 | 2.52 |
| 2 | dual-source-membership-fallback | 149 | 0.04 |
| 2 | observed-rank-10001-25000 | 14951 | 3.79 |
| 3 | enable-membership-fallback | 140103 | 35.52 |
| 3 | observed-below-rank-25000 | 7520 | 1.91 |
| 3 | unreliable-token-demotion | 14 | 0.00 |
| 4 | corroborated-source-fallback | 442 | 0.11 |
| 4 | observed-tier-ineligible-corroborated-fallback | 1302 | 0.33 |
| 5 | observed-tier-ineligible-single-source-fallback | 3582 | 0.91 |
| 5 | single-source-fallback | 216369 | 54.85 |
| 5 | unreliable-token-demotion | 70 | 0.02 |
How the extended result population changes with length
| Letters | Tiers 1-2 (records) | All tiers (records) | Additional records (records) | Tiers 1-2 share (percent) | All-to-higher ratio (ratio) |
|---|---|---|---|---|---|
| 1 | 2 | 26 | 24 | 7.69 | 13.00 |
| 2 | 89 | 498 | 409 | 17.87 | 5.60 |
| 3 | 709 | 2290 | 1581 | 30.96 | 3.23 |
| 4 | 2067 | 7320 | 5253 | 28.24 | 3.54 |
| 5 | 3160 | 16135 | 12975 | 19.58 | 5.11 |
| 6 | 4035 | 30344 | 26309 | 13.30 | 7.52 |
| 7 | 4264 | 42758 | 38494 | 9.97 | 10.03 |
| 8 | 3698 | 52746 | 49048 | 7.01 | 14.26 |
| 9 | 2887 | 54755 | 51868 | 5.27 | 18.97 |
| 10 | 1918 | 49834 | 47916 | 3.85 | 25.98 |
| 11 | 1142 | 41449 | 40307 | 2.76 | 36.30 |
| 12 | 616 | 32573 | 31957 | 1.89 | 52.88 |
| 13 | 300 | 23627 | 23327 | 1.27 | 78.76 |
| 14 | 113 | 16243 | 16130 | 0.70 | 143.74 |
| 15 | 32 | 10335 | 10303 | 0.31 | 322.97 |
| 16 | 8 | 6230 | 6222 | 0.13 | 778.75 |
| 17 | 3 | 3610 | 3607 | 0.08 | 1203.33 |
| 18 | 0 | 1857 | 1857 | 0.00 | not-defined |
| 19 | 0 | 971 | 971 | 0.00 | not-defined |
| 20 | 0 | 465 | 465 | 0.00 | not-defined |
| 21 | 0 | 207 | 207 | 0.00 | not-defined |
| 22 | 0 | 94 | 94 | 0.00 | not-defined |
| 23 | 0 | 40 | 40 | 0.00 | not-defined |
| 24 | 0 | 19 | 19 | 0.00 | not-defined |
| 25 | 0 | 9 | 9 | 0.00 | not-defined |
| 27 | 0 | 4 | 4 | 0.00 | not-defined |
| 28 | 0 | 3 | 3 | 0.00 | not-defined |
| 29 | 0 | 2 | 2 | 0.00 | not-defined |
| 31 | 0 | 1 | 1 | 0.00 | not-defined |
Methodology
Research question: How much of the compiled lexical release has direct observed frequency evidence, and how much is ranked by bounded fallback rules?
Why it is useful: Users can judge what a commonness label means and avoid treating an estimated tier as a universal fact.
Included
commonness.safe-compiled-record: Include each safe normalized spelling retained in the compiled lexical release.
Excluded
commonness.product-policy: Exclude spellings matched by the exact first-party content-safety policy before aggregation.
Transformations
commonness.evidence-class-v1: Classify each retained record by its sealed frequency-tier reason and presence of direct observed corpus evidence.
Calculations
research.count-v1- Count retained records in a declared evidence or tier group. Formula:
count(records). research.share-v1- Calculate an evidence class's exact share of the safe compiled population. Formula:
100 * numerator / denominator. research.ratio-v1- Calculate an exact count ratio used to compare evidence cohorts. Formula:
numerator / denominator.
Limitations
- FrequencyWords is a bounded 2018 corpus-derived list and is not a timeless census of English.
- Ranks are computed only among eligible normalized spellings after deterministic filtering.
- Fallback source membership can prioritize results but is not direct usage evidence.
- The study does not claim that a tier proves familiarity for an individual reader or community.
Versions, sources, and review
dwyl-english-words git:8179fe68775df3f553ef19520db065228e65d1d3
source-membership; surface-spelling-as-listed.
Licence: Unlicense notice; upstream dataset rights unresolved. Legal review: pending. Redistribution review: pending.
- The pinned repository licence is the Unlicense, but the pinned README says copyright in the extracted source list remains with Infochimps. Human legal review of the upstream rights chain is required.
- Do not assert a redistribution right until the Infochimps-to-dwyl rights chain has been reviewed by a human.
- Dialect or scope: unspecified
dwyl/english-words; the repository carries an Unlicense notice, while its pinned README attributes upstream copyright to Infochimps
enable artifact-sha256:d3fbe8485022088fcf527edcde2fbdc18b4bbc141ac58123c9adb462e086eaf7
source-membership; surface-spelling-as-listed.
Licence: Licence terms not stated by the source. Legal review: pending. Redistribution review: pending.
- The downloaded artifact is content-pinned by SHA-256, but it contains no licence notice and the configured source page does not state reuse terms.
- The artifact is reproducibly pinned but no affirmative reuse grant has been located; redistribution approval remains pending.
- Dialect or scope: North-American-oriented; exact edition metadata unavailable
ENABLE (Enhanced North American Benchmark Lexicon); exact reuse terms are pending legal review
google-10000-english git:bdf4c221bc120b0b7f6c3f1eff1cc1abb975f8d8
source-membership; source-order.
Licence: No explicit licence grant in pinned repository metadata. Legal review: pending. Redistribution review: pending.
- The exact pinned LICENSE.md describes provenance but contains no explicit public-domain dedication or licence grant. Human review is required.
- The pinned repository documents provenance but does not supply an affirmative licence grant; do not describe it as public domain.
- Dialect or scope: USA no-swears variant
first20hours/google-10000-english, derived from the Google Web Trillion Word Corpus and Peter Norvig's compilation
frequencywords-en-2018 git:525f9b560de45753a5ea01069454e72e9aa541c6; corpus-release:2018
source-token-observation; source-token-count.
Licence: CC BY-SA 4.0 (content). Legal review: pending. Redistribution review: pending.
- The exact pinned README states MIT for code and CC BY-SA 4.0 for content. Human review is required for attribution and ShareAlike obligations on compiled and derived data.
- Content is declared CC BY-SA 4.0. Attribution and ShareAlike treatment of the compiled frequency evidence and derived tiers require human approval.
- Dialect or scope: unspecified
FrequencyWords content derived from OpenSubtitles, licensed CC BY-SA 4.0
offensive-term-policy 2026.07-review-pending.2
content_filter; search_results; result_counts.
Licence: Reuse terms not yet approved. Legal review: pending. Redistribution review: pending.
- This bounded policy list cannot determine whether every usage is offensive or benign.
The Word Index first-party content-safety exclusion policy
Citations
- FrequencyWords English 2018, FrequencyWords, version git:525f9b560de45753a5ea01069454e72e9aa541c6; corpus-release:2018 (dataset).
- The Word Index data methodology, The Word Index, version 2026.07-lexical.3 (method).
- The Word Index content-safety exclusion policy, The Word Index, version 2026.07-review-pending.2 (policy).
Data and reproducibility
Source-rights review is pending. The available file contains aggregate computed measures, not a redistributed spelling list. Availability does not grant broader reuse rights; consult the source and licence register before reuse.
Download the canonical aggregate CSV
View the canonical JSON study bundle.
Reproduce this version from a clean checkout:
make studies_reproduce STUDY=commonness-evidence