I’m not a statistician but my husband (who happens to be the OP :D) and I were discussing this topic a few days back. The closest analogy would be the birthday question: How many people would you need to have in a group to have a better than 50% chance that two people have the same birthday.
https://betterexplained.com/articles/understanding-the-birthday-paradox/
You’re looking not at the odds of any given person having your birthday, but the odds of every person not having your birthday.
In a room of 23 people, there’s a 50% chance that there are two people with the same birthday. (23*22) / 2 = the number of possible pairs overall in the room - because person 1 has to check himself against 22 people, person 2 has to check himself against 21 and so on.
Then you take the odds of someone’s birthday NOT matching yours: 364 / 365 (let’s ignore leap years). So everyone in the room has to not match you. Then everyone else in the room has to not match person 2, and so on. Basically, (364/365) raised to some power - in this case 253 - gives you 50%.
If you have a room of 100 people. it’s (100*99) / 2 comparisons. Excel gives me a 0.0001% chance of not having a match.
I would think we could extrapolate that logic, making some out-of-thin-air assumptions about:
-
How many people are in the room with you = how many people you are at least on speaking acquaintance with. That would include your family, friends, co-workers, the cashier at the grocery store whom you know by name, and so on. No clue what that would be - but let’s say it’s 100 people.
-
What the death rate is per million of population. New York’s right now per worldometers.info is 478. So the odds of any one person having died is .000478 (right now - that is changing daily). And the odds of that person NOT having died is 0.999522.
So, using the birthday logic: if you know 1 person, you have less than 1% chance of knowing someone who died.
If you know 10 people, you have a 2% chance of knowing someone who died.
If you know 100 people, you have a 90% chance of knowing someone who died.
This all assumes that you and everyone you know are in New York. By comparison, California has 17 deaths per million population. At that rate, in a circle of 100 people you have about a 9% chance of knowing someone who died. In a circle of 200, you have a 31% chance of knowing someone who died.
So - you have to do some further extrapolation to get to the point where more than 50% of the people in the US know someone who died of COVID. I used Excel and just bumped up the deaths per million until the calculation said about 50%. At 140 deaths per million, and 100 people in your circle, you’re at the 50/50 mark.