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le0n

Re:Rust as a gateway drug to Haskell on Wednesday June 14, 2017 @03:15AM (#14551167)
Haskell/GHC will soon have an extension for linear types, which will bring the languages much closer: http://blog.tweag.io/posts/2017-03-13-linear-types.html
Re:What programming languages are used most on weekends? on Wednesday February 08, 2017 @12:18AM (#13595968)
A confidence interval won't adjust the points (point estimates) but will give those points with a lower sample size wide confidence intervals (often covering zero).

Using an (empirical) Bayesian multilevel model can both attach uncertainty intervals to the point estimates and appropriately "shrink" the estimates towards zero at the low-sample-size end.

The latter is more directly interpretable, at the cost of slightly more complex modelling (/assumptions).

I wonder whether this is the same sense in which the brain also uses logic to reason about stuff, and physics to interact with the world.
Re:Scientific Regress on Wednesday April 20, 2016 @06:07PM (#11538112)
It seems to me more bent on buttressing a pro-scientific religious viewpoint.
Re:OpenBazaar is Open for Business on Monday April 04, 2016 @10:53PM (#11427471)
Panama papers -- <anger> OpenBazaar -- cool!
Re:Causal Inference in Statistics: A Primer on Tuesday February 09, 2016 @01:21AM (#11063498)
Just so people know, there is a competing/complementary approach to causality in statistics, called the potential outcomes or (Neyman-)Rubin causal model, which as I understand it is currently more popular than Pearl's graphical/do-calculus approach.
Re:Correlation, Causation, and Confusion on Monday October 05, 2015 @01:42AM (#10330128)
I don't think machine learning vs Bayes vs sampling theory has much to do with the content of the article, which is more about causality than interpretations of probability.

> it's far more likely that coffee causes cancer if it can accurately predict it, even when you control for all other variables

I don't know about this: prediction is not equivalent to explanation in general. The "all the other variables" bit is also a bit of a kicker (what counts as "all"?) -- hence randomization, and, well, pretty much everything else the article discusses.

Re:Feyerabend on empiricism and sola scriptura on Sunday October 04, 2015 @09:39PM (#10329565)
Possibly related simultaneous discussion: https://news.ycombinator.com/item?id=10328699
Re:Correlation, Causation, and Confusion on Sunday October 04, 2015 @08:29PM (#10329385)
+1. A fantastic article. Definitely one of the best popular-level stats pieces I've read.
Is anyone really an AGI expert?
“Seeing the world through the lens of Bayes’ Theorem is like seeing The Matrix. Nothing is the same after you have seen Bayes.”

I'm pretty sure this is an instance of cognitive bias.

Re:Why Minds Are Not Like Computers (2009) on Monday June 22, 2015 @07:33PM (#9761806)
A great article on similar issues is "Turing Test: 50 Years Later":

http://crl.ucsd.edu/~saygin/papers/MMTT.pdf

It touches on the "physics is computable therefore the mind is computable", and similar such arguments, in a fascinating and IMO balanced way.

Re:How it feels to join an all-Haskell startup on Friday June 12, 2015 @02:16AM (#9704322)
I prefer comprehensions over either mapping or explicit recursion. Mapping is a win for abstraction but a loss for clarity.
Re:The Sound of TED: A Case for Distaste on Tuesday May 19, 2015 @10:30PM (#9574359)
I cried.
Re:On the Pedagogical Motive for Esoteric Writing (2007) on Tuesday October 28, 2014 @01:40AM (#8519686)
Also a review at NDPR, which makes some points similar to mine above: http://ndpr.nd.edu/news/53333-philosophy-between-the-lines-t...
Re:On the Pedagogical Motive for Esoteric Writing (2007) on Saturday October 25, 2014 @11:54PM (#8510197)
There are some distinct ideas that this article at times seems to conflate:

- Obscurity, speaking in fables, non-clarity, indirectness. Multiple layers to one's teaching. This possibly for the sake of pedagogy.

- Teachings for the public versus teachings for the initiates/elite/true disciples. Two contradictory or opposed layers to one's teaching.

The former and the latter are quite different, and I wonder whether the latter might be far less common than the former.

It seems clear that some thinkers, particularly in ancient Greece and Rome, had opposed esoteric and exoteric aspects to their work, and that we should acknowledge and try to discern this where it exists.

But I'd question whether esotericism is "of the greatest importance for our understanding of the whole course of Western philosophy". The author seems to think of it almost as a kind of skeleton key, as though maybe there is a significant stream of thought that people have radically misunderstood. The idea of a hidden thread of elite, secret knowledge has an alluring, conspiratorial feel to it that the author doesn't mention -- a vibe that is not so foreign to our modern sensibilities (Scientology, Kabbalah, New Age, ...).

Melzer writes that "with pedagogical esotericism, the writer actually embraces concealment and obscurity (of the right kind) as a positive good and as something essential to the primary purpose of his act of writing: philosophical education". How does this not describe art of all kinds -- e.g. fiction writing -- where the creator has a didactic purpose, but artfully weaves this into their work? ("Ars est celare artem.") Again, there is no distinction made between nonclarity and the demand for active, engaged, creative reading and thinking on the one hand, and on the other, radically opposed esoteric and exoteric meanings.