Comment author: Username 07 January 2015 10:13:38AM *  0 points [-]

Make money playing poker, maybe?

Comment author: rule_and_line 08 January 2015 02:39:50PM 0 points [-]

Ah! That sounds like a great one!

So, folks like Chris Ferguson are presumably doing both activities (judging how much evidence as well as accurately translating brain estimates to numerical estimates).

But if I go find a consistently successful poker player who does not translate brain estimates to numerical estimates, then I could see how that person does on calibration exercises. That sounds like a fun experiment. Now I just need to get the grant money ...

Sidenote, but how would I narrow down to the successful poker players who don't translate brain estimates to numerical estimates? I mean, I could always ask them up front, but how would I interpret an answer like "I don't really use numbers all that much. I just go by feel." Is that a brain that's translating brain-based estimates to numerical estimates, then throwing away the numbers because of childhood mathematical scarring? Or is that a brain that's doing something totally outside translating brain-based estimates to numerical estimates?

Comment author: rule_and_line 07 January 2015 04:45:29AM *  -1 points [-]

Gatsby believed in the green light, the orgastic future that year by year recedes before us. It eluded us then, but that's no matter — tomorrow we will run faster, stretch out our arms farther... And one fine morning —

  • The Great Gatsby

I always liked Fitzgerald's portrayal of what Something to Protect feels like.

Happy New Year's resolutions, all.

In response to 2014 Survey Results
Comment author: John_Maxwell_IV 05 January 2015 08:55:05AM 5 points [-]

This is not a human universal - people who put even a small amount of training into calibration can become very well calibrated very quickly. This is a sign that most Less Wrongers continue to neglect the very basics of rationality and are incapable of judging how much evidence they have on a given issue. Veterans of the site do no better than newbies on this measure.

Can someone who's done calibration training comment on whether it really seems to represent the ability to "judge how much evidence you have on a given issue", as opposed to accurately translate brain-based probability estimates in to numerical probability estimates?

Comment author: rule_and_line 07 January 2015 03:44:47AM 0 points [-]

I'm having difficulty replacing your quotation with its referent. Could you describe an activity I could do that would demonstrate that I was judging how much evidence I have on a given issue?

Comment author: khafra 15 December 2014 11:58:25AM 0 points [-]

I just want to know about the actuary from Florida; I didn't think we had any other LW'ers down here.

Comment author: rule_and_line 23 December 2014 11:22:28PM 0 points [-]

Hey, that's me! I also didn't think we had other LWers down here. PM sent, let's meet up after the holidays.

Comment author: rule_and_line 20 December 2014 12:31:37AM 0 points [-]

I thought of the idea that maybe the human decision maker has multiple utility functions that when you try to combine them into one function some parts of the original functions don't necessarily translate well... sounds like the "shards of desire" are actually a bunch of different utility functions.

I hereby request a research-filled thread of what to do when you feel like you're in this situation, which I believe has been called "welfare economics" in the literature.

Comment author: rule_and_line 20 December 2014 12:15:11AM 0 points [-]

It sounds like you're measuring your success by the impact you have on the person you are directly communicating with.

What happens if you measure success by your impact on the rest of your audience?

Comment author: Lumifer 03 November 2014 05:30:26PM 12 points [-]

Scepticism is directed not at things, but at claims. And claims about things difficult to measure should face increased scepticism.

Comment author: rule_and_line 03 November 2014 11:49:59PM 3 points [-]

Interesting position! I can't speak for James, but I want to engage with this. Let's pretend, for the scope of this thread, that I made the statement about the proper role of skepticism.

I'm happy to endorse your wording. I agree it's more precise to talk about "claims" than "things" in this context.

Quick communication check. When you say "increased" you're implying at least two distinct levels of skepticism. From your assertion, I gather that difficult-to-measure claims like "there exist good leaders, people who can improve the performance of the rest of their team" will face your higher level of skepticism.

Could you give me an example of a claim that faces your lower level of skepticism?

Comment author: rule_and_line 03 November 2014 05:06:07PM 5 points [-]

[S]kepticism should be directed at things that are actually untrue rather than things that are difficult to measure.

-- Bill James, American baseball writer and statistician.

Comment author: DeterminateJacobian 31 October 2014 04:32:10AM 2 points [-]

Heh, clever. In a sense, iron has the highest entropy (atomically speaking) of any element. So if you take the claim that an aspect of solving intergalactic optimization problems involves consuming as much negentropy as possible, and that the highest entropy state of space time is low-density iron (see schminux's comment on black holes), then Clippy it is. It seems though like superintelligent anything-maximizers would end up finding even higher entropy states that go beyond the merely atomic kind.

...Or even discover ways that suggest that availability of negentropy is not an actual limiter on the ability to do things. Does anyone know the state of that argument? Is it known to be true that the universe necessarily runs out of things for superintelligences to do because of thermodynamics?

Comment author: rule_and_line 31 October 2014 09:58:51PM 2 points [-]
Comment author: calef 24 October 2014 12:19:10AM *  8 points [-]

Not being in the field, but having experience in making the judgement "Should I read this paper", here are a handful of observations:

For:

  1. The paper has a handful of citations not entirely from the author (http://scholar.google.com/scholar?cites=8141802968877948536&as_sdt=2005&sciodt=0,5&hl=en) but by no means a huge number of citations.

  2. The abstract is remarkably clear (it's clear that this is a slight extension of other author's work), and the jargon-y words are easily figured out based on gentle perusal of the paper.

  3. It looks like this paper is actually also a chapter in a textbook (http://link.springer.com/chapter/10.1007/978-3-642-11876-0_8)

Against:

  1. Nearly half of the paper's (very few) references in its reference section are self-citations.

I'd say it's worth reading if you're interested in it. Even the against-point above is more of a general heuristic and not necessarily a bad thing.

Comment author: rule_and_line 27 October 2014 04:49:55AM 0 points [-]

Thank you. Heuristics like these are, I think, the meta-skill I'm trying to learn at the same time.

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