ENDLESS KRILLION UNLIMITED The Endless Deep Sea Dive
ORIGINAL EMPIRICAL CORPUS STUDY · V1.6

Krillion Rarity Report: 1,284-Term Lexical Study

This original research report documents the exact statistical composition, data dictionary, and Zipf-curve decay mechanics behind EndlessKrillion.com's deterministic scoring lexicon. Every figure below is computed directly at build time from our verified 30-prompt, 1,284-answer dataset across 11 subject categories.

Compiled by Endless Krillion Lexical Engineering · Last updated: November 11, 2026 · Independent methodology (not affiliated with Krillion.io)

Verified Answers
1,284
100% client-indexed
Curated Prompts
30
11 knowledge domains
100-Pt Apex Terms
347
27% of reference pool
0-Pt Plankton Traps
115
9% consensus head
Empirical Distribution of 1,284 Scored Terms Across Six Krillion Rarity Tiers

01. Krillion Rarity Report: Six-Tier Distribution & Length Study

Unlike naive trivia games that assign binary right-or-wrong flags, inverse-popularity word games follow a heavy-tailed lexical curve. Only 9% of valid reference terms sit in the Plankton consensus head, yet those few obvious nouns account for the majority of failed first-instinct human guesses. By contrast, 347 terms (27%) sit in the 100-point One in a Krillion apex band, and another 302 terms (23.5%) occupy the 75-point Deep Cut oxygen-recovery zone.

Tier Name Points / Depth Rarity Percentile Corpus Count Pool Share Avg. Length
One in a Krillion 100 pts / +1,000m Top 99th+ 347 27% 9.4 chars
Deep Cut 75 pts / +750m 90th – 98th 302 23.5% 9.1 chars
Rare 50 pts / +500m 75th – 89th 230 17.9% 9.1 chars
Schooler 25 pts / +250m 50th – 74th 164 12.8% 8.5 chars
Too Clever 10 pts / +100m 25th – 49th 126 9.8% 8.1 chars
Plankton 0 pts / +0m 0th – 24th 115 9% 7.2 chars

Notice a counterintuitive finding in the average character-length column: while multi-word island nations and synthetic chemical names slightly elevate the top tier's character count, middle and high tiers remain close in length. Guessing a longer word does not guarantee obscurity; players win by leaving the top-of-mind semantic cluster (e.g. choosing Gitega or Moscovium instead of Cairo or Titanium).

02. Category-by-Category Breakdown & Benchmark Answers

Across our 11 subject domains, density varies significantly based on how bounded the real-world taxonomy is. Geographic prompts average more valid entities per prompt because sovereign states, capitals, and seas have clear encyclopedic inventories, whereas tightly bounded prompts like classical elements or musical families reward exact subclass precision.

Category Prompts Total Terms 100-Pt Pool Sample 100-Pt Picks Common Traps (0-Pt)
Pop Culture 3 244 66 swordsman, stature, quasar iron man, captain america
Geography 6 172 36 sao tome and principe, comoros, eswatini south africa, egypt
Space 3 172 67 pan, atlas, prometheus the moon, moon
Science 4 150 34 seaborgium, meitnerium, darmstadtium helium, calcium
Nature 4 142 38 vaquita, commerson's dolphin, pantropical spotted dolphin dolphin, whale
Literature 2 103 30 cymbeline, pericles prince of tyre, timon of athens romeo and juliet, hamlet
Video Games 2 84 16 plok, earthworm jim, space harrier mario, tetris
Food & Drink 2 74 20 bilberry, barberry, bignay banana, blueberry
Economy & Money 1 51 14 dobra, nakfa, kwanza dollar, euro
Music 1 46 13 cor anglais, contrabassoon, bass clarinet violin, flute
Sports 2 46 13 nordic combined, skeleton, biathlon skiing, ice hockey

03. Public Data Dictionary & Normalization Methodology

To ensure reproducible practice sessions without opaque black-box variance, EndlessKrillion.com publishes the exact schema and normalization rules applied to every puzzle prompt in our offline-capable JSON lexicon:

1. Case & Diacritic Folding

All user submissions undergo ASCII lowercase folding, whitespace trimming, and punctuation stripping so valid keyboard entries like sao tome and principe or cabo verde match cleanly without accent-mark friction.

2. Composite Frequency Calibration

Candidate terms are ranked by combining historical print prevalence (Google Books N-grams) with modern digital attention (Wikipedia article pageviews) and trivia salience so obscure facts remain defensible.

3. Fuzzy & Alias Tolerance

Our client-side matcher supports bounded Levenshtein edit distance tolerance for minor spelling typos on long scientific names (such as meitnerium or bioluminescence) while rejecting ambiguous partial stems.

4. Independent Scope & Limitations

This research corpus powers EndlessKrillion.com's independent training simulator and is distinct from live crowd-weighted daily player percentages on third-party sites. Use our Rarity Calculator to inspect individual terms interactively.

Ready to put these findings into practice? Explore our Category Strategy Guides, jump into Krillion Infinite Mode, or study how Noillirk Reverse Mode flips this exact frequency table upside down.

Quarterly Corpus Update Log (Q4 2026)

  • 2026-11-11 (v1.6): Published complete Krillion Rarity Report data dictionary, automated build-time tier counts (1,284 terms across 11 categories), and category-level sample benchmarks.
  • 2026-11-06 (v1.4): Audited chemical element suffixes (p_02), marine mammal taxonomy (p_05), and pre-2000 video game release dates (p_09) to eliminate factual ambiguity.
  • Next Scheduled Review: Q1 2027 corpus expansion & seasonal archive calibration.

04. Research Methodology FAQ

How many scored answers are included in the Endless Krillion corpus?

The current deterministic lexicon contains 1,284 verified answers distributed across 30 curated prompts and 11 subject categories.

Why are Rare and Schooler bands larger than Plankton?

In natural language, head-of-distribution consensus nouns are tightly concentrated (a few obvious answers dominate human recall), whereas the middle and tail bands contain far more distinct valid entities.

Does longer word length automatically earn a 100-point score?

No. While obscure taxonomic and geographic compounds tend to be slightly longer on average, rarity is determined by corpus frequency rather than character count.