crayola
Based on your comment history, you seem comfortable with taking liberties with the English language to get your point across quickly (e.g. omitting implicit pronouns and articles in sentences such as 'Somehow never was true with Iceland.', or 'They should quit Euro (Merkel will never allow because others would follow suit) and debase currency. Do exactly as Iceland did.')
So I'm not sure why you seem to take particular issue with 'econ', which is a very common casual way to refer, e.g., to the economics major at uni. ('econ 101' etc)
Emmm.. Not too surprising, is it? Divorces kind of tend to terminate marriages early.
I find that scientific textbooks (machine learning, etc) are much more usable as books than as pdf, as I need to often jump from one chapter to another and it needs to be the matter of a split second (or I won't bother to look for the information).
But perhaps mileage varies.
More research here: http://piketty.pse.ens.fr/fr/publications
I haven't said anything about clearly and succinctly though; I do not know if that kind of material exist. I believe the book to be a mix of original material, existing research (as linked above), and most of all the fruit of many years of productive research on these topics.
You are of course free to not buy Piketty's thesis based on his book alone; however, to convincingly build your case to convince others, it looks like you may have to absorb a fairly considerable body of knowledge.
On a more personal note -- while I am an economist by training (doctorate obtained in early 2010s in a top 10 uni), my field was quite far from Piketty's, so I am not in a position to know with any confidence whether he's right or wrong. (I would say though that his position certainly has merit and deserves the attention it is getting.) That being said, I maintain that Taleb shows himself as disconcertingly naive and frankly quite condescending to think that he can dismiss years of research in a few witty disparaging paragraphs. (Possibly without reading the book, almost certainly without reading the research, and very definitely without looking at the raw data.)
Economics is not just about the maths, it's about whether the maths being proposed (i.e. the model) are the right tool to understand and explain the observed data (and do predictions / counterfactuals). So the question of interest (is Piketty right or wrong) is not a question of someone's "maths" (either Piketty's or Taleb) being "right" or "wrong". Sorry if you find this obvious -- perhaps I missed the point of your question?
One would therefore be well advised to take his notes about the work of a French economist with a pinch of salt.
"The optimal strategy is to go become an academic or a French-style civil servant, the anti-wealth generators."
To pick but one example among many others, Louis Pasteur was French, an academic and (therefore) a civil servant, and arguably contributed to save many lives. Or does that not qualify as wealth generation?
(UK only, but that shouldn't stop you!)
It is not to say that it is ok, though, as it could result in more people switching away from Firefox -- which is not a good thing for the web.
I, an enthusiast Firefox user, had to stop using Hangouts in Firefox because it could get excruciatingly slow (while fine in Chrome). Again, not saying it's Google's fault; it may be the case that with my configuration, Firefox is just generally slower than Chrome for the kind of fancy code that powers Hangouts. But they certainly did not try to make it run well for me, for lack of incentives. Many people (especially lay) would have responded by switching to Chrome. I responded by deactivating gmail chat and switching to Skype.
To an extent, large data volumes make it more difficult for the statistician to be as nimble. Trying different algorithms, different specifications, different ways to approach the data is part of the statistical workflow; not everything can be easily parallelized and run on a Hadoop cluster.
There are insights a statistician can quickly obtain (few hours) from a carefully selected random sample of a few million observations, in memory, in a single R or Python process. The same analysis for the complete, multi-terabyte data would be rather more painful or costly to obtain.
Of course data scientists such as Martin Goodson know that (though their bosses do not always) and are used to doing exploratory analysis or prototyping on sample that fit in RAM.