Make no mistake - this is indeed quite deep. To be able to assimilate it well you will need at least knowledge of Analysis, Measure Theory, and good mathematical maturity.
I was able to read only part 1: Foundations, and these are my impressions. Definitely goes into my Bookmarks, so that I can read the rest...
Edit: The title was changed from "Probability Theory 101 (by Fields medallist Terry Tao)".
Well, the hacker news feature a lot of programming-related stuff that is certainly 'above' the (average) blog post level (in the whole blogosphere). I know of no better meta-filter than hacker news for blog entries attracting a hacker's mindset. Certainly, the appreciation for mathematical thinking as well as mathematical methods plays a big role in this (analytic) mind set.
While the novice programmer might not get (the content and purpose of) python vs. ruby comparisons and the like, readers with a weak background in math will not find this probability entry useful (or too 'difficult').
However, for a certain subset of all hacker news readers, which are looking to dig deeper, it is a very nice resource.
Hacker news, to me, is especially useful since it provides links which are well distributed in terms of this 'entry level'.
I was able to read only part 1: Foundations, and these are my impressions. Definitely goes into my Bookmarks, so that I can read the rest...
Edit: The title was changed from "Probability Theory 101 (by Fields medallist Terry Tao)".