Thank you SO much. Especially for deriving the formula. I kept reading about how the Poisson distribution was the limiting case of the Binomial distribution, but didn't understand what people meant until now. Your graphics are amazing. Thank you for sharing your knowledge and putting so much work into this!
I came here based on Jay's shoutout in his Keynote video. And glad here. Your tuts are visually appealing. We'd love if you could give a quick walkthrough of how you got about using Keynote to make animations. Like your typical workflow and tips/tricks while using Keynote.
At 25:00 you said the fact that the poissonn distribution has 2 modes is an anomaly. But actually for every integer lambda, the poisson distribution has two modes. I wouldn't call that an anomaly.
4:26 "As N tends to infinity, the binomial distribution tends to the gaussian distribution, as per the CLT" This is not true, as far as I can tell. It tends to the poisson distribution. And the CLT is about the distribution of SAMPLE MEANS converging to a normal distribution as the number of sample means increases. Makes me worried about things that I'm not catching
