Letter positions by spelling length and frequency tier

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

For 7-letter spellings, positional leaders are S-A-R-A-I-E-S across all tiers and S-A-A-T-I-E-S in tiers 1-2.

Analysis population
330,204
All-tier position-leading letters for 7-letter records
S-A-R-A-I-E-S
Tier 1-2 position-leading letters for 7-letter records
S-A-A-T-I-E-S

For 7-letter spellings, positional leaders are S-A-R-A-I-E-S across all tiers and S-A-A-T-I-E-S in tiers 1-2.

What is being counted

Each normalized spelling contributes one character to each position. Records have equal weight, so this is a lexicon-structure analysis rather than a corpus-frequency analysis. It does not use an official Wordle list.

Share held by each position's leading letter

Every leader, count, denominator, and share is in the table.

Read the accessible data table.

Population and exclusions

The exact population used by this version of the analysis.
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 330204

Position-leading sequences for 7-letter spellings

The two declared ranking cohorts use the same deterministic tie-break.
Ranking cohort Spelling length Position-leading letters (letter sequence) Records at this length (records)
all-tiers 7 S-A-R-A-I-E-S 42758
tiers-1-2 7 S-A-A-T-I-E-S 4264

The leading letter at each 7-letter position

Leaders are based on exact aggregate counts; alphabetical order breaks ties.
Position All-tier leader (letter) All-tier leader count (records) All-tier records (records) All-tier leader share (percent) Tier 1-2 leader (letter) Tier 1-2 leader count (records) Tier 1-2 records (records) Tier 1-2 leader share (percent)
1 S 4624 42758 10.81 S 561 4264 13.16
2 A 7247 42758 16.95 A 681 4264 15.97
3 R 4207 42758 9.84 A 481 4264 11.28
4 A 3522 42758 8.24 T 429 4264 10.06
5 I 8113 42758 18.97 I 978 4264 22.94
6 E 9677 42758 22.63 E 1213 4264 28.45
7 S 8944 42758 20.92 S 1014 4264 23.78

Methodology

Research question: How do letter distributions change by spelling position, length, and frequency-tier cohort in this release?

Why it is useful: The study distinguishes patterns in the broad five-tier cohort from patterns in its higher-ranked tier 1-2 cohort.

Included

  • letter-frequency.length-3-to-12: Include safe normalized ASCII spellings of lengths 3 through 12, grouped into all tiers and tiers 1-2.

Excluded

  • letter-frequency.product-policy: Exclude spellings matched by the exact first-party content-safety policy before aggregation.
  • letter-frequency.outside-length-window: Exclude spellings shorter than 3 or longer than 12 from positional comparisons.

Transformations

  1. letter-frequency.position-v1: Enumerate one-indexed character positions and aggregate exact letters separately by length and tier cohort.

Calculations

research.count-v1
Count spelling and positional-letter observations in each declared cohort. Formula: count(records).
research.share-v1
Calculate a letter's exact share at a declared position and length. Formula: 100 * letter_count / cohort_spelling_count.
research.positional-leader-v1
Select the highest-count letter independently at each position, breaking equal-count ties by ascending ASCII letter. Formula: argmax(letter_count, tie_break=letter_ascending).

Limitations

  • Each distinct normalized spelling has equal weight; the analysis is not token frequency in natural language.
  • Inflected and morphologically related spellings can each contribute a record.
  • The tier 1-2 comparison inherits the commonness model's corpus and fallback limitations.
  • Results outside the declared length window are not inferred.

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

  1. The Word Index pinned lexical source manifest, The Word Index, version 2026.07-lexical.6 (dataset).
  2. FrequencyWords English 2018, FrequencyWords, version git:525f9b560de45753a5ea01069454e72e9aa541c6; corpus-release:2018 (dataset).
  3. 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=letter-frequency