# All of labachevskij's Comments + Replies

Took the survey, and as others pointed out had some trouble with the questions about income (net? gross?) Also, is there any place where all the reading (fanfiction, books, blogs) hinted to in the survey are collected? I knew (and have read) some, but many I have never heard of, and would like to find out more.

0Teobaldo9y
good point :-) is fixed now
0jasticE9y
2014 :)

I have: "News", "Friends", "Comics", "RPG", "Android", "LW" , "Climbing" and "Maths".

I have to admit the intersection with my feed list is most definitely non-empty: I'd add Good Math Bad Math, mathematics, computer science and, sometimes, recipes and playlists.

Rational thinking against fear in a TED talk by (ex) astronaut Chris Hadfield. Has anyone else seen it? I really enjoyed it, in particular the spider example.

You're right, I meant continuous bijections, as the context was a transformation of a probability distribution.

There are easy to compute bijections from R to [0,1], etc.

This is not true, there are bijections between R and (0,1), but not the closed interval.

Anyway there are more striking examples, for example if you know that A, B, C, D are in a discrete finite set, it restricts yout choices quite a lot.

5nshepperd10y
Did you mean to say continuous bijections? Obviously adding two points wouldn't change the cardinality of an infinite set, but "easy to compute" might change.
6V_V10y
No.
0IlyaShpitser10y
You are right, apologies.

If I may add something to (2) (and (3), too) I'd say to be concise and not wander too far: keep the focus and don't waste time. Moreover I think that a contribution, let it be a comment or a main argument, is much more interesting if it's different from what it has been already said before. I often hear people asking questions or offering arguments that have shown up before, without providing any new insight. Basically you could say "Listen before you speak".

I'm working on Partial Differential Equations in Fluid-dynamics, both deterministic and stochastic. I'm dealing mostly with turbulence models, right now. But I trained as a probabilist (and there's where my heart lies).

Are you into maths too?

0wedrifid10y
Only for recreation purposes these days. Most recently I've been grappling with the various ways of formulating and manipulating infinitesimals. The need for them keeps cropping up when I explore various obscure decision theory problems and the implication of certain counterfactuals expressed in terms of subsets of an ultimate ensemble. Sounds fun!

Hi everyone, I'm labachevskij. I'm a long time lurker on this site, attracted by (IIRC) Bayesian Decision Theory. I'm completing my PhD studies in Maths, but I have also been caught by HPMOR, which is proving a huge source of procrastination (I'm reading it again for the third time). I'm also on my way with the reading of the sequences.

1wedrifid10y
Welcome labachevskij! What part of Math are you focusing on?