I was listening to a podcast by NDGT (Neil deGrasse Tyson, a prominent scientist) and he posed a simple thought experiment to illustrate the susceptibilities to cognitive bias. What I've come here to ask about is which rigorous statistical framework to use here...
Question
What is the appropriate statistical test, which lead to NDGT's statistical conclusions, for the following thought experiment? and please explain. Thanks!
NDGT's Transcript
(sources: masterclass, youtube)
Here's a good example. Line up 1,000 people. Give them a coin to flip. They flip the coin. About half will get heads. About half will get tails. If they get tails, tell them to sit down.
How many are left? 500. Flip a coin. Tails sit down. 250. Flip a coin. Tails sit down. 125. Flip a coin. Tails sit down. We're down to 60. Sit down. We're down to 30.
We're down to 15. We're down to eight, four, two, one. When you do this experiment, there's this one person at the end that flipped heads 10 consecutive times.
Now what happens? The press rushes to that person and says, how do you feel about this win? And here's a common response. I sort of felt that head's energy about halfway through. And I saw the heads of things this morning. And I knew I was going to win.
Oh, this is wonderful. And yeah, I knew. I felt today was going to be special. Very common response. No, not for this experiment, for people who win the lottery or something. Right. Did the press go to anyone else in that line and ask them how they felt? No.
So here's the bias. The bias is you think this person won, and that person thinks that person won, because of some sort of spiritual heads energy permeating their lives that day, when any time you do this experiment somebody is going to flip heads 10 times in a row. That's the nature of this experiment.
The person who flips heads thinks that they're special when it's just a statistical fact...
Self-study attempt
I get that 2**10 = 1024
, so like exponential decay, if you start with n(0)=1024
after 10 half-lives you get n(10)=1
. So I understand the choice of 1000 people and 10 consecutive flips.
I was thinking it's a simple:
- $n = 1024$ trials
- $k = 0$ successes
- $r = 10$ runs
- $p = \frac{1}{2^{r}} = \frac{1}{2^{10}} = 0.0009765625$
- Probability that there are no successes →
- Binomial PMF: $P(X=0) = \text{Binomial}(n, k, p) = 0.3676997394112712$
- which implies: $P(X\ne0) = 1 - \text{Binomial}(n, k, p) = 0.6323002605887288$
"any time you do this experiment somebody is going to flip heads 10 times in a row... it's just a statistical fact"
Is this the best/most comprehensive test here for proving such a bold statement? This guy wrote a blog post on a multi-million trials simulation but got the opposite result (36.8% success, 63.2% failure).. I calculated P(X=1) = Binomial(n, 1, p) = 0.36805917219661977
. These results seem suspiciously close to $\frac{1}{e}$.
Translating NDGT's statistical fact statement, is it failing to reject this null hypothesis?
- $H_0 = k \ge 1$
Question:
What is the most appropriate statistical test, which would lead you CV wizards to NDGT's statistical conclusions, for the above thought experiment?
What is the statistical test that would lead you to make the assertion "any time you do this... statistical fact"???
Please feel free to correct any statements made. Thanks!