> So, in some sense the author here is doing the same kind of over-generalization that many of the books do.
I read most of the main books in the "ideation/innovation/startup/scale-up/ entrepreneurship/business plan writing" available at a certain time, and had to sift through a lot of useless or redundant material to extract very little wisdom from it.
(Of course what is really useful emerges only when you then execute your own start-up idea later.)
The grandparent post cautions from "overgeneralization", so let me add a comment in the opposite direction, namely "undergeneralization": it is not only business books that are more for entertainment (and perhaps reflection) than hard facts; even the category of formal economics/business studies academic literature includes large quantities of claims that do not hold, were not properly assessed, hold no predictive power etc.
I recommend one that positively stands out, Philip E. Tetlock and his studies on forecasting abilities of so-called "experts" versus average person in the street: he wrote several critical studies that found academics (economists/business in particular, hence relevant for this post) and other experts to be lacking, and then developed a methodology for more systematic prediction (e.g. see the book Superforecasting: The Science of Prediction (2016, with Ben Gardner, https://www.amazon.com/Superforecasting-Science-Prediction-P...).
I read most of the main books in the "ideation/innovation/startup/scale-up/ entrepreneurship/business plan writing" available at a certain time, and had to sift through a lot of useless or redundant material to extract very little wisdom from it. (Of course what is really useful emerges only when you then execute your own start-up idea later.)
The grandparent post cautions from "overgeneralization", so let me add a comment in the opposite direction, namely "undergeneralization": it is not only business books that are more for entertainment (and perhaps reflection) than hard facts; even the category of formal economics/business studies academic literature includes large quantities of claims that do not hold, were not properly assessed, hold no predictive power etc.
I recommend one that positively stands out, Philip E. Tetlock and his studies on forecasting abilities of so-called "experts" versus average person in the street: he wrote several critical studies that found academics (economists/business in particular, hence relevant for this post) and other experts to be lacking, and then developed a methodology for more systematic prediction (e.g. see the book Superforecasting: The Science of Prediction (2016, with Ben Gardner, https://www.amazon.com/Superforecasting-Science-Prediction-P...).