Christian, thanks for your comment. However, I do not understand what your first paragraph is referring to, as I do not think I claimed not being affected by hindsight bias, or anything similar. Whether additional examples of the hindsight bias (or anything else) are helpful is up to any potential reader to decide; I’d just say that I find the signal-to-noise ratio of the book low, and would probably start reading https://en.wikipedia.org/wiki/Hindsight_bias (or Kahneman) instead.
The central message of Taleb’s oeuvre in general may be about many distributions being fat-tailed, but just judging from FbR, I think you will not learn very much about the concept. Searching the google books version for the word “fat” seems to indicate that the word “fat-tailed” only appears in the preface.
My point is that signal-to-noise ratio is a metric that rewards mentioning many ideas over exploring the ideas in more detail. For important ideas like specific biases that can be started shortly, I think it’s valuable to explore them in a longer way and signal-to-noise is no good complaint.
I see. Using “signal” and “noise” figuratively here, I ran the risk of being understood that way. But to be clear: I do not regard explanations and illustrations as “noise”, because they help understand the signal. The book has a lot of text that is counterproductive and has, in my opinion, a very loose relation with the concepts Taleb (presumably) aims to explain.
Christian, thanks for your comment. However, I do not understand what your first paragraph is referring to, as I do not think I claimed not being affected by hindsight bias, or anything similar. Whether additional examples of the hindsight bias (or anything else) are helpful is up to any potential reader to decide; I’d just say that I find the signal-to-noise ratio of the book low, and would probably start reading https://en.wikipedia.org/wiki/Hindsight_bias (or Kahneman) instead.
The central message of Taleb’s oeuvre in general may be about many distributions being fat-tailed, but just judging from FbR, I think you will not learn very much about the concept. Searching the google books version for the word “fat” seems to indicate that the word “fat-tailed” only appears in the preface.
My point is that signal-to-noise ratio is a metric that rewards mentioning many ideas over exploring the ideas in more detail. For important ideas like specific biases that can be started shortly, I think it’s valuable to explore them in a longer way and signal-to-noise is no good complaint.
I see. Using “signal” and “noise” figuratively here, I ran the risk of being understood that way. But to be clear: I do not regard explanations and illustrations as “noise”, because they help understand the signal. The book has a lot of text that is counterproductive and has, in my opinion, a very loose relation with the concepts Taleb (presumably) aims to explain.