My opinion is that you are mathematically illiterate OP. This is probably why you can't maintain objectivity with regard to Nassim Taleb's book. Taleb has become some kind of mystic for non quantitative people. Taleb worshippers love saying 'fat tails' but have no clue of the complexity involved in quantitative modeling.
You are using the word 'random' in a naive sense. There are much more sophisticated ideas than those of this author.
Compounded distributions (this causes Kurtosis AKA 'fat tails')
Non-stationary Parameters
Semi-stationary Models
Smart people who actually understand mathematical statistics study how the accuracy of estimates are affected by different characteristics of random processes. They understand the limitations of statistics and other mathematical theories (and what effect violations of assumptions have on the predictive power of models).
Statistics is used to estimate (under a set of assumptions) theorized relationships, distributions of theorized parameters, and theorized distributions of errors that arise when modeling processes where we do not and cannot have complete information about the variability of phenomena.
Every attempt to predict markets will be subject to error, and even estimating the size of the errors is problematic. However, these models have been weaponized and are being used to compete for profits in financial markets.
Hi Real Money,
Please do not go away from original argument...there is no signal in the charts that day traders use to predict future price movement. (e.g. looking at last 15 minutes to predict next 15 minutes, or looking for a TA alert that went off and trading on this pseudo nonsense.
Today's Apple chart..... constructed purely randomly.