I certainly agree with you. In, say, a gambling situation (which provides a "special case type" of situation where the answer that satisfies the Kelly Criterion

I certainly agree with you. In, say, a gambling situation (which provides a "special case type" of situation where the answer that satisfies the Kelly Criterion is equal to the Optimal f answer) we know that the optimal is very "delicate," (vs "robust") with respect to the distribution of future outcomes mimicing the past. We know that if it is off, even if just a little (magnified by the number of data points!) the outcomes are monstrously different. Profit maximization is clearly a very dangerous game.