svv

Joined 17 years ago

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208
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27
Member since
May 20
Sergei Vavinov http://svv.livejournal.com
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Comment · 1 year ago
> - the KPI "do-more-users-leave-our-platform-earlier-if-our-matching-algo-is-just-too-good" - I promise: In alle the years, this question WAS NEVER - NEVER!!!!!!! - raised, regardless wich Manager or which Exec. This metric isnt even debated.

What labels do they use for training their algos though? What is their definition of a successful match, is it a date, a recurring date, or something closer to a long-term relationship?

If matches predominantly result in "failure" they might just not have enough "long-term success" labels to go by, and their proxy labels will be biased towards short-term successes.

Comment · 7 years ago
I've cancelled by NYTimes subscription just a few months ago. Didn't have to do any phone calls-- just answered a few questions in the chat, right there on their website.
Comment · 7 years ago
Comment · 8 years ago
Comment · 9 years ago
This falls under the Explanation #2: Human capital. By the way, the post does not mention whether the study controlled for wives staying at home.
Comment · 13 years ago
Why is the parent being downvoted? Multiple codecs are a real problem for video-streaming services, and introducing a new one definitely has potential to bring more compatibility problems. Patent trolls are also a real obstacle (clean-room implementation provides no guarantees against patent infringement).

If you believe there're reasons that this specific codec will not cause such problems, please explain it in the comments instead of just downvoting.

Comment · 13 years ago
Well, pure mathematic models also don't have any real-world meaning, and no predictive power with regard to the real world events. Still, nobody thinks that the analytical proof of the Pythagorean theorem is somehow inferior to the empirical one (involving multiple reproducible experiments that measure sides of the actual triangles drawn on a piece of paper with a ruler). We are content with mathematics being consistent within itself.

However, if we (1) add certain assumptions about, say, physical laws, the structure of the reality, the way we can observe it, (2) propose a reasonable way to map some aspects of the world to our mathematical models, (3) calibrate the result according to the future experiments/observations -- we might get a quite useful natural science like physics or astronomy. The pure math will serve only as a low-level tool. That's how the Austrian economists see the place of the pure economics theory: just an analytical tool to be used along with the other disciplines/sciences for solving real-world problems.

For example: Austrian economists believe that it can be deduced from the first principles/axioms that enforcing minimal wage above existing market wages results in involuntary unemployment (most of the non-Austrian economists also believe this is the case, although their methodological basis is different). Assume there was a policy act that included, among other things, raising the minimal wage. A year passed, and it so happened that there have been changes in the economy indicators, including lower unemployment rate. The act was not the only thing that happened in that time; lots of factors may have contributed to the outcome. An Austrian researcher will definitely not count raise-the-minimal-wage factor as contributing in favor of the lower unemployment rate; the factor will be counted against the lower-unemployment-rate outcome, and will require further explanations, what other factors have outweighed its effect.

Using math (well, formal systems/notations) does not guarantee your whole research about the real world is correct, but it establishes a baseline for consistency and rigorous reasoning. It's the same with basic economics.

(My formal education was in mathematics / CS. I study economics, epistemology etc. only as a hobby.)

Comment · 13 years ago
> incredible track record of dead-wrong predictions

The Austrian School economics methodology does not allow for making predictions. See e.g. the note at the beginning of http://wiki.mises.org/wiki/Austrian_predictions It provides certain tools and models that one can use for explaining events and reasoning about policy options. These reasoning can be used as a basis of predictions (along with the other, non-economics-theoretic assumptions), but the predictions themselves will fall outside of the economics science in the Austrian School sense.

Basically, if your analysis manages to reason away uncertainty of the future, you're not following Austrian methodology. And no, the Austrian methodology won't even let you quantify that future uncertainty in probabilistic terms: that would only be possible if it used causal explanations of human action; instead, it relies on teleological, goal-oriented explanations.

Now, questioning and disputing the value, coherence and real-world applicability of the Austrian methodology is perfectly OK. (Personally, I find the Austrian economists' disregard for formal notations very unfortunate, as I've mentioned in another discussion: https://news.ycombinator.com/item?id=1647747) Your comment, however, seems to be simply misguided, based on a flawed understanding of the issue, and the sarcastic tone is unlikely to facilitate a constructive discussion.

(Edited: spelling.)

Comment · 13 years ago
Great point, expect that no one is touching them. Deposits over EUR 100K are being hit /frozen, those up to EUR 100K are not touched

Yes, that's the current decision. The linked article was written at the time the Parliament was about to ratify haircut of the insured depositors along with the rest.

(There's no timestamp on the page, but I saw this text around 21th of March.)

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