I don't see that there's a better way to divine the truth in historical, economic, and political matters. Bayes's Theorem isn't much use when you have no decent numbers to put into it - regardless of the fact that it is true. How would you conduct a worthwhile Bayesian analysis of the proposition that neocameralism is a superior form of government to democracy? Have I any reason to believe that such an analysis would be better than Moldbug's deductive reasoning? Bear in mind also that statistics are not necessarily trustworthy or fully informative.
I find that a sharp mind - Moldbug's is extremely sharp indeed - is capable of achieving a high signal-to-noise ratio using this style of reasoning where others might not.
After all, a direct confrontation of the reasoning style you disparage and an approach I expect you might consider more "evidence-based" is found in macroeconomics - Austrians as literary economists, Keynesians as quantitative economists. I'm sure you'll agree that the hegemonic Keynesians have not exactly covered themselves in glory.
Arguing from principles and representative quotations is a good way to give evidence for claims about the way people say things
I can only interpret this as the idea that all speech and writing provides evidence only about the speaker or author himself. I disagree in the strongest terms!
I don't see that there's a better way to divine the truth in historical, economic, and political matters.
I didn't ask for a full statistical analysis. Although it would certainly be nice, it seems like a lot of work - deductive reasoning is but a tiny subset of probabilistic reasoning. However, I suppose one could use random sampling methods to make sure that you didn't go far wrong. New field name: asymptotically correct history.
Anyhow, what I said was lacking was evidence in general - arguments that are harder to make when false than when true. Th...
SIAI benefactor and VC Peter Thiel has an excellent article at National Review about the stagnating progress of science and technology, which he attributes to poorly-grounded political opposition, widespread scientific illiteracy, and overspecialized, insular scientific fields. He warns that this stagnation will undermine the growth that past policies have relied on.
Noteworthy excerpts (bold added by me):
In relation to concerns expressed here about evaluating scientific field soundness:
Grave indictors:
HT: MarginalRevolution