CUE Research

What the data shows.

Studies of famous groups, built only on verified, published datasets and read with CUE’s own engine.

Each study names its source and date, compares against random birthdays from the same years, and only calls out a difference when the group is big enough to show one.

  1. 10 Top 10 in the dataset
  2. 20 Top 20 in the dataset
  3. 28 Top 30 in the dataset
  4. 46 Top 50 in the dataset
  5. 92 Top 100 in the dataset
  1. 850 All players in the dataset
  2. 340 Canadian-born in the dataset
  3. 259 U.S.-born in the dataset
  4. 251 Born elsewhere in the dataset
  1. 253 Everyone 2016–2025 in the dataset
  2. 54 Basketball in the dataset
  3. 94 Football in the dataset
  4. 26 Soccer in the dataset
  5. 46 2025 top 50 in the dataset
  6. 10 2025 top 10 in the dataset
  1. 20 Top 20 in the dataset
  2. 45 Top 50 in the dataset
  3. 69 Top 100 in the dataset
  4. 179 All 400 in the dataset
  1. 954 All laureates in the dataset
  2. 222 Physics in the dataset
  3. 190 Chemistry in the dataset
  4. 227 Medicine in the dataset
  5. 118 Literature in the dataset
  6. 105 Peace in the dataset
  7. 94 Economic Sciences in the dataset
  8. 382 Since 1990 in the dataset
  1. 256 All G7 leaders in the dataset
  2. 45 U.S. Presidents in the dataset
  3. 56 UK Prime Ministers in the dataset
  4. 66 Japanese PMs in the dataset
  5. 133 Since 1945 in the dataset
  1. 211 All founders in the dataset
  2. 93 Top 100 companies in the dataset
  3. 162 U.S. companies in the dataset
  1. 989 All players in the dataset
  2. 421 Born in England in the dataset
  3. 568 Born elsewhere in the dataset
  1. 388 All winners in the dataset
  2. 157 Actors in the dataset
  3. 155 Actresses in the dataset
  4. 76 Directors in the dataset
  1. 130 Self-made in the dataset
  2. 42 Inherited in the dataset
  3. 172 Everyone in the dataset
  1. 12066 Every member in the dataset
  2. 1894 Senators in the dataset
  3. 10172 Representatives in the dataset
  4. 5241 Democrats in the dataset
  5. 5042 Republicans in the dataset
  6. 444 Women in the dataset
  7. 1113 Born since 1950 in the dataset
  1. 844 Every driver in the dataset
  2. 116 Race winners in the dataset
  3. 271 Born since 1950 in the dataset
  1. 2099 All grandmasters in the dataset
  2. 1906 Born since 1950 in the dataset
  3. 193 Born before 1950 in the dataset
  1. 817 Everyone in the dataset
  2. 727 Born since 1900 in the dataset
  1. 562 All inductees in the dataset
  2. 342 Born since 1900 in the dataset
  1. 55 All inductees in the dataset
  1. 2356 Every judge in the dataset
  2. 102 Supreme Court in the dataset
  3. 502 Courts of appeals in the dataset
  4. 1877 District courts in the dataset
  5. 72 Women in the dataset
  6. 21 Born since 1950 in the dataset
  1. 2222 Ended in divorce in the dataset
  2. 2054 Lasted until a death in the dataset

Next studies

Each on a dataset with a public, verifiable source.

  • The World’s Billionaires 2026 The clean re-test of study 1: the same method on the next year’s list. Forbes, April 2026 · coming soon
  • Bloomberg Billionaires Index A second publisher with its own wealth method. Bloomberg · coming soon
  • Olympic Gold Medallists Thousands of athletes across sports with different age cut-offs. International Olympic Committee · coming soon
  • Cryptocurrencies by Launch Date Read each coin by the day its network launched, weighted by market value. Waiting on a source that dates most of the top 100. Blockchain genesis blocks · coming soon
  • Astronauts A small, strictly selected group with complete records. NASA, ESA and other space agencies · coming soon

Method How CUE runs a study

  • Only published lists from an authoritative source. Where a source uses placeholder dates, each birth date must be confirmed by a second source to the exact day.
  • Life Path, sun sign and Chinese sign come from the same engine as the CUE app.
  • “Expected” is what random birthdays from the same birth years would give, weighted by how many people were born in each year.
  • A difference is called clear only in groups of 50 or more, at 3.5 standard errors or more (studies test many values at once, so the bar is high). Smaller tiers are descriptions, not findings, and nothing here predicts anything about a person.