A Founder’s Guide to Understanding Investors
blog.ycombinator.com
blog.ycombinator.com
The chart is correct, but theoretically you could flip the axes and the shape of the chart would still be true.
Power Law Distributions in early stage investing a low frequency of high expected returns, and high frequency of low expected returns.
I'm not sure what you mean. I just have tried literally what you have suggested, and of course it is not true. Here's the code:
x <- rnorm(1000)
h <- hist(x, breaks = 100)
plot(h$counts, h$mid)