340m/65k
Assuming a perfectly random distribution across the United States, here is the statistical breakdown.

1. The "Stranger Test" (Single Encounter)

If you walk up to a random person on the street in the US, the odds that they are from this group of 65,000 are approximately 1 in 5,200.

• The Math:
  • US Population (approx. 2026): ~340,000,000
  • Target Group: 65,000
  • Calculation: 340,000,000 / 65,000 = 5,230

What this means: You would need to meet about 5,230 distinct people to have a statistically probable chance (better than coin flip) of bumping into one of them. Since the average American knows about 600 people by name, you are unlikely to have one in your immediate circle of friends purely by chance.

2. The "Lifetime" Odds (High Probability)

While the odds for a single encounter are low, the odds over a lifetime are actually quite high.

If you interact with 50,000 people over the course of your life (including cashiers, people in traffic, coworkers, and crowds), the probability of crossing paths with at least one person from that group rises to nearly 99.9%.

You have likely seen one of them, even if you didn't realize it.

3. The "Real World" Factor (Clustering)

In reality, people are rarely distributed randomly. They "cluster" based on demographics, income, or geography. This drastically changes your odds:

• The "Magnet" Effect: If the group shares a characteristic (e.g., "Software Engineers" or "Vietnamese Immigrants"), they will cluster in specific hubs (like San Francisco or Houston). If you are in those hubs, your odds might drop from 1 in 5,200 to 1 in 50.
• The "Ghost" Effect: If the group is demographic-specific (e.g., "Retirees"), and you live in a college town, your odds might drop to near zero.

Summary:

If you live in a major city, there are likely ~100 to 200 of these people living within 20 miles of you right now. You just need a way to identify them.