1- Your 40 rolls of the dice are not independent events. A better analogy would be, you grab a new set of loaded dice each month, then roll them 160 times.you are not factoring in time. Let’s set the base line for the chicken processor for 1 hour as our unit of measure (it should probably be 15-20 minutes since that seems to be the time period over which masks break down and viral loads get sufficiently high, but let’s keep it simple). So at work the chicken processor over the course of a week is taking 8 risks per day in a high risk setting over the course of 5-6 days. So 40 rolls of the dice (and really you have to then factor in the number of people he is also interacting with over the course of that time). But if he goes to visit his buddy he is only taking 1 roll of the dice. Given the chances of exposure his work over time is significantly (by multiple factors) more risky than an indoor one off meeting with his buddy.
The n though is still blowing my mind. If you were a high data guy the n shouldn’t be possible. It would tend to indicate you think you are data guy but are really an intuitive guy and that’s affecting therefore how you are interpreting the data...it would explain a lot (when coupled with the j) of why you lean so heavily into data (and so often get it so smack right) but then the interpretation tends to skew. The theory is also elegant because it explains the politics (and that you think you are center right but very clearly arent)
2- the guy can still have the beer with his buddy. He just should do so outside, and put his mask back on when he’s done drinking it.
3- You’re still having trouble understanding compound growth. You want to understand this as “how do I protect myself in a world where the risk is fixed.”. The society is protected, or not, based on “how do we limit covid risk over the next N viral host generations.”
Out of your league.
As am I. I have the DEQ modelling but my stats are too weak. But at least I’m not standing on pre-calc and making declarations about differential equations modeling systems.