Female Delusion Calculator
Female Delusion Calculator
Based on US Census Bureau and Pew Research Center data
Select your criteria to see compatibility probability
Fun tool calculating your chance of finding dream partners using real US Census data. Discover dating market truths with humor. Not scientific - just eye-opening!
Female Delusion Calculator: Your Reality Check Tool
What Is It?
A satirical calculator that estimates how likely you are to find your “ideal partner” based on US Census data. Combines humor with real demographics to reveal dating market realities.
Core Formula
Probability = (Criteria1_Prevalence% ÷ 100) ×
(Criteria2_Prevalence% ÷ 100) ×
... ×
(CriteriaN_Prevalence% ÷ 100) × 100
Example: If 20% earn $100k+ and 30% are 6ft tall:0.20 × 0.30 × 100 = 6% match probability
How to Use
- Select Your Stats: Age, income, education
- Check Partner Criteria: Income/height/status preferences
- See Results: Instant probability percentage
- Explore Data: Charts show population distributions
FAQs
Q: Is this scientifically accurate?
A: Uses real Census data but simplifies complex social dynamics - treat as food for thought.
Q: Why are the probabilities so low?
A: Stacking multiple rare criteria (tall+rich+single) compounds improbability.
Q: Can I calculate female standards?
A: Try our Male Delusion Calculator for gender-reversed analysis.
Key Terms
- Prevalence %: Actual population percentage meeting criteria (from Census/Pew)
- Compound Probability: Mathematical chance of multiple rare traits coexisting
- Selection Bias: Overestimating availability of “perfect” partners
Data Sources
- US Census Bureau: Income/education/marriage stats
- Pew Research Center: Demographic studies
- CDC Health Data: Height/age distributions
Important Notes
⚠️ Not a dating advice tool - for entertainment only
⚠️ Avoid confirmation bias - results reflect population math, not your worth
⚠️ Cultural limitations - US-centric data (results vary by country)
Pro Tips
- Try adjusting one criterion at a time to see its impact
- Compare urban vs rural prevalence using our regional filters
- Remember: Chemistry isn’t mathematically quantifiable