Stats
Where is the data coming from?

The Female Delusion Calculator processes statistical data from two sources.

Income and marital status information is derived from the 2023 Annual Social and Economic Supplement (ASEC) of the Current Population Survey (CPS) conducted by the Census Bureau of United States.

Height and body mass index is derived from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) conducted by the National Center for Health Statistics (NCHS). The 2017-2018 data was used instead of the most recent one due to suspension of survey operations in March 2020.

Exclude married

What is the exclude married option about?

The marital status options in the ASEC survey are:

  1. Married, spouse present
  2. Married, spouse absent
  3. Separated
  4. Divorced
  5. Widowed
  6. Never married/single
  7. Widowed or Divorced
By ticking the exclude married option you are filtering out the first two options from the sample data.
Race

The ASEC survey allows 28 different race options to chose from, including combinations of two or more races, for example White-Black-American Indian.

In order to simplify the user experience, the calculator shows you only 4 options:

  1. All races and combinations
  2. Non-hispanic white
  3. Pure black
  4. Pure asian
Exclude obese

The exclude obese option filters out men that have a Body Mass Index (BMI) of 30 or higher.

In the NHANES survey, BMI is calculated as weight in kilograms divided by height in meters squared.

Limitations

How is the calculator able to merge the two statistical samples (ASEC and NHANES) to generate one reliable result?

In an ideal world this calculator would process just one single big statistical sample of a survey that includes all the details we need: age, marital status, race, height, bmi and personal income. Unfortunately, this is not the case. The ASEC survey lacks height and bmi details, while the NHANES lacks details about personal income. Therefore, the Female Delusion Calculator has to run two different searches, one for income and one for body measures, then it combines the two results (both opportunely filtered by age, marital status and race) into one single percentage value.

The final percentage is not far from reality but it's not entirely accurate because it doesn't take into account the correlations between income and height or weight. For example, there have been studies showing that taller people tend to be paid slightly more. So, by processing the two searches independently, the calculator might underestimate the number of tall high income individuals and overestimate the tall low income ones and so on. Still... I wouldn't expect the results to be way off, but keep it in mind and take the final number with a grain of salt.