EDIT:
I messed up the unemployment number a lot. The better comparison would be against 14% so they are only ~2x more unemployed not ~6x. I made the classic mistake of misunderstanding employment data. If you look at men over 30 it’s more like 14%. I stand by the virginity stats, though.

Unemployment

* 27% of Hasan's audience is unemployed vs. 4.2% in the US. They are ~6x more likely to be unemployed than a random person. (See edit)

* 41% are unemployed or make less than minimum wage

Virgins

* The amount of people that are male virgins in US/Europe above 30 is estimated to be 1-3%.

* 7k+ people in Hasan's poll said they were 30+. 62-67% male. So about 4,340-4,460 we can assume were men.

* If you adjust for age distributions with regard to virginity rates, then statistically the estimated 30 year old virgin rate in his audience is at least 11% but could be up to 24%

So, that means Hasan fans that are men over 30 are anywhere from 4x to 20x more likely to be virgins than normal people. The mid-estimate would be 7-9x

----

More nerdy calculation:

Known quantities

Let:

• V = 0.24 (overall virgin rate)
• A= 0.50 (30+ share)
• M= 0.62–0.67 (male share)

We want: P(Virgin | Male, 30+)

This requires a 3-way joint distribution (age × gender × virginity), which we don’t directly observe, so we bound and model it.

Absolute mathematical bounds (no assumptions)

Step 1: Size of subgroup

Step 2: Virgin count constraint

Total virgins = 3,360

Step 3: Extreme allocations

Theoretical max: ~36%+

Upper bound (max possible rate)

Put all virgins into men 30+

Max rate = 3360 / men 30+ population ​

Theoretical max: ~36%+ (realistically capped by subgroup size)

Lower bound (min possible rate)

Put all virgins outside men 30+:

Min rate = 0%

Constrained realistic models

We now impose empirical structure:

• Virginity declines with age
• Men have higher late
• age virginity than women
• Younger groups carry a disproportionate share of virginsVirginity independent of age & gender

Model A: The virginity rate is the same across ages

P(V | M,30+)= P(V)= 24%

Model B: Moderate age gradient

• U18: 70%
• 18–21: 45%
• 22–25: 30%
• 26–29: 20%

30+ ≈ 15-19%

Model C: Strong age gradient (most conservative)

Steeper decline:

• U18: 80%
• 18–21: 55%
• 22–25: 40%
• 26–29: 25%

30+ ≈ 9–12%

Converting to men 30+ specifically

Men tend to have higher late-age virginity rates, so:

• Model A: ~24% (upper realistic bound)
• Model B: ~15-19%
• Model C: ~9-12%

Most defensible interval

• ~11% -> 19% for men 30+

Full range

• ~9% -> 24% (depending on what assumptions you hold)
• Even the lowest plausible estimate (~9-12%) is:
  • ~3-5× higher than general population (~1-3%)
• Mid-range (~15–19%) implies:
  • ~5-10× higher
• Upper bound (~24%) implies:
  • ~10×+ higher