Tag Archives: Personal

Personal experimentation: context specific?

A last way that personal experimentation could be worth it for me, yet not already completely covered by others, is that most of the facts one is likely to learn are quite context-specific. That way, everyone in history might have figured out for themselves what the best time and sugar-content for lunch is, and it would be worthless to me.

This also seems quite plausible. It could either be that people are so varied that there is just no good answer to whether it is better for productivity to eat snacks throughout the day or a few big meals for instance. Or it could be that which value of one parameter is best depends on all the other ones, so if you tend to eat more sugar than me and sleep less and laugh more, exercise might make you less sleepy than I.

The latter possibility bodes poorly for those who would experiment a lot. After you have determined the best quantity and timing of exercise, you might go on to try to optimize your sleep or sugar intake and make the original finding worthless.

This explanation would also seem to explain the observations in the last post: that many people do seem quite keen advise on the details of one’s life, but that the content of such recommendations seem a bit all over the place. Perhaps each person’s discoveries really do work well for them, but just look like a sea of noise to all the other people.

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Personal experimentation: not shared?

I’ve been talking about how personal experimentation could be worth it for people like me, without relevant info being depleted long ago.

My next potential explanation is that people do experiment, but results aren’t aggregated and spread, so everyone has to reinvent everything.

This is exactly what you would expect in a simple model where people benefit from information, but bear a net cost from spreading it. Without incentives to contribute one’s own findings to others, there is no reason information should spread. But on closer inspection this is roughly the opposite of what the world looks like. There is a lot of advice about how to run the details of a life. Sometimes it is offered for money, but often so enthusiastically and freely as to make the most curious life-optimizer want to run away. The problem seems to be more that there is so much advice, advising pretty much the full range of behavior. There are apparently incentives for spreading such ‘information’, but not incentives to actually find any information to begin with.

This is doubly puzzling. It’s not surprising if all the possible self-help books exist. But for folks volunteering their own time to tell me about whatever relaxation technique or diet, spreading random misinformation seems low value. And again we have the question of why it wasn’t worth it, for their own benefit, to get some actual information to begin with.

A plausible explanation to me for both of these things is that just about any random innocuous change makes life seem better, and people are genuinely trying to be helpful by telling others about such ‘discoveries’. So the problem then would be widespread use of informal data collection, which is much more unreliable than people think. In which case, my own experimentation is just as likely to fail if I rely on such data collection. Experimentation in general would not be as useful as suspected – continually experimenting would make you feel like things were good, but none of your efforts would have long term payoffs.

This leaves the questions of whether and why people would be misinformed about their abilities to casually collect information about the effects of interventions on their lives. What say you?

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Personal experiments: fueled by innovation?

Another way personal experimentation might be worth it for me, yet not used up by those before me: there is so much innovation that there are constantly new things to test, even if people experiment a lot. Beeminder and Workflowy are new. The abilities to prompt yourself to do things with a mobile phone or eat Japanese food or use your computer in a vast number of ways are relatively new.

I doubt this explains much. The question applies to many things that have been around and not that different for a long time, e.g. wheat, motivation, reading, romantic arrangements. And even if Beeminder is new, many of the basic ideas must be old (e.g. ‘don’t break the chain‘). As a society we don’t seem to have a much better idea of the effects of wheat on a person than we do of Beeminder.

Another way innovation could explain the puzzle is if all kinds of innovations change the value of all kinds of ancient things e.g. prevalence of internet use changes the effects of going to bed early or sitting in a certain way or doing something with your hair or knowing a lot of stories. If this is the case, experimentation is worth less than it seems, as the results will soon be out of date. So this goes under the heading ‘I’m wrong: experimentation isn’t worth it’, which would explain the puzzle, except the bit where everyone else perceives this and knows not to bother, and I don’t. I will get back to explanations of this form later.

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Personal experiments: for the unusual?

I asked in what kind of world personal experimentation could seem worth it for me yet not already exhausted. Today I’ll look at one potential explanation, popular with commenters last time: I and my friends are weird in some way that causes to benefit more than usual from experimentation. Several of the suggestions below were seconded by commenters.

Robin makes a plausible suggestion in this realm: in general people do quite well by copying the right other people’s behavior in some kind of clever, intuitive, context specific way. Nerds are terrible at this though (either because they fail to copy at the outset, or because they can’t do the social interpretation necessary to correctly generalize). So they have the choice to copy other people badly, or try to reinvent a lot of things from scratch. So experimentation is much more useful for nerds. Coupled with the premise that I’m a nerd, this explains the observations and has some intuitive appeal.

If something like this is true, there seem to me to be traits beyond lack of copying skill that incline nerds toward working such things out from scratch. In general if you are already unusual on many axes, copying others on a particular one is less good, so you will have to figure things out for yourself more. Once you have determined to sleep in the daytime and practice radical honesty, the usual answers about how to improve your mood or attract a partner may not apply as well. Nerds are also more likely to have the quantitative skills to do experiments well. And nerds seem more unsettled by adherence to traditions handed to them without explanation or instructions.

These things might explain enthusiasm for explicit experimentation and innovation, but the reasons experimentation seems worth it didn’t make reference to enthusiasm. Non-nerds may copy one another fine, but there seem to be better things to do than copying. It could also be that experimentation is not worthwhile, and nerds just tend to over-rate it. But fits nicely into a category to be explored later: ‘I’m wrong’.

Another relevant way I and my friends might be weird is that we live so late in history, and in such a rich world. Perhaps it has only recently become cheap enough to track such experimentation usefully. This seems important for the more elaborate data-tracking kinds of experiments. But it seems like you can do a lot with a pen and paper, and maybe a calculator and a coin. Also, as Robin points out, there are more people to copy now, so the ‘experiment little’ path is also easier. Arguably, I say.

Another way I am strange is in being relatively young. Youth clearly makes experimentation more valuable. However I feel like it is valuable enough, and that the gains are soon enough, that I would want to do it if I were similar to myself apart from having thirty years less to live. It could be that older people are unlike me however, in that they have learned a lot more by experimentation when they were young. Is this so? It’s not clear to me.

None of these explanations seem that great. Are there other ways I’m weirdly good at benefitting from experimentation?

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Thank You TrikeApps!

In 2009 my co-blogger Eliezer Yudkowsky split off from Overcoming Bias (OB) to create the Less Wrong (LW) blog. TrikeApps wrote the feature-full software for LW, and Eliezer wanted to start it off with a high Google page rank via inheriting his posts here at OB. To support this, I agreed to let TrikeApps move OB from TypePad to a new platform where TrikeApps could turn Eliezer’s OB post links into hard links to posts at LW, to have recent LW and OB posts show up in a sidebar at the other site, and to have TrikeApps manage the technical aspects of OB.

Four years later, I’d like to send a big hearty THANK YOU to TrikeApps for their blog management. I expect it would have cost lots to pay someone to do the work they’ve done. I don’t have any plans to change this arrangement anytime soon, though I’m of course open to suggestions for other ways to manage and structure this blog.

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Why personal experimentation?

I experiment with many things, as do those around me. Some of this is randomization and explicit records, more is just trying different things, muttering ‘VOI‘ and repeating what felt good. I refer here to everything between a cautious banana-mustard-ham sandwich and polyamory.

Robin has suggested that I over-invest in such exploration. That most new things should be bad, and so most experimentation a private loss for public gain. What’s more, there shouldn’t be lots of low hanging fruit in trying things out. Most of the things humans frequently want to do (eat, sleep, change moods, organize time, learn, interact with others) should have been well figured out in ancient times. And anything that does still need checking out should be divided between many people.

Nonetheless, it looks to me like experimentation is worth it. Lots of the things we do seem barely satisfactory, there seem likely to be better alternatives, it seems hard to learn what has been tried for what ends, or what is good from listening to others or reading, and I and my friends seem to actually find good things by looking. e.g. Beeminderexplicit charity evaluation, unusual degrees of honesty, workflowy and explicit organization seem to often add value over the defaults, not to mention many tiny things, like banana-mustard-ham sandwiches.

If it is true that a lot of experimentation is worth it, we have a slight puzzle: if there is valuable information I might glean by experimentation, why hasn’t it been worth it for others in the past to collect it and put it where I can see it?

I will try to answer this over the next few posts. Before that, what do you think?

 

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Grounded Visionaries

I recently got to spend ten minutes explaining prediction markets to a (nice, smart) software billionaire. He had already been exposed to the basic idea, but from me he came to understand the larger potential for markets on decision consequences. He said they could be useful inside for-profit firms, like hedge funds. I suggested that software firms could also benefit from better estimates on user satisfaction, rates of bugs, and making deadlines. He quickly countered that software visionaries, in charge of implementing an unusual vision, shouldn’t be held to the conventional wisdom of a crowd.

The conversation moved before I could reply that prediction markets aren’t about crowds or conventional wisdom, and that even unconventional concepts can gain from grounded estimates on their implementation details. Alas this seems another example of the usual excuse making; even those who see big gains from prediction markets elsewhere tend to find excuses for why such gains are not to be found in their organization.

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Why Am I Weird?

It will not have escaped the notice of long-time readers that I have a number of unusual intellectual views and priorities. In fact, more such views than most intellectuals.

This doesn’t usually bother me, but it should. After all, different theories about my weirdness lead to very different rational responses to my opinions, by myself and by others. Consider some theories:

  1. An unusually sloppy thinker, I make more big mistakes in reasoning.
  2. Unusually insightful, I have many unusual insights.
  3. Especially good at making up reasons, I seek an excuse to show off my reasoning, and so take positions that others will ask me to justify.
  4. Feeling unfairly low status, I hope for a status reversal via bragging later that I held popular opinions when they were unpopular
  5. Being especially proud, I’m unwilling to just accept standard views, and insist on thinking through all interesting topics through for myself. This leads to many contrarian views, since it leads to many views.
  6. Being unusually risk-taking, I collect opinions with a small chance of leading me to great fame and glory.
  7. Being unusually desiring of attention, positive or negative, I say things that will make people pay attention to me.
  8. Being especially good at a particular unusual sort of reasoning, e.g., very abstract concepts, I draw conclusions that neglect other sorts.
  9. Being especially uninterested in the usual rewards given intellectuals, I pick acts more likely to gain other rewards.
  10. Having initially learned an unusual mix of skills and topics, I apply that mix to produce unusual conclusions.

I’m sure many of you can think of more such theories (which I’ll add as suggested). But, after all these years, why don’t I know? Why don’t I care more? And, those of you who are also weird, why don’t you know, or care, why?

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Em Econ, London Style

Together with the provocative (Skype super-developer) Jaan Tallinn, I’ll speak on em econ next Saturday 2-5pm in London:

In this extended (3 hour) session, Robin Hanson and Jaan Tallinn will revisit and expand the material from their ground-breaking presentations from the Singularity Summit 2012 – presentations that Vernor Vinge, commenting shortly afterwards, described as refutations of the saying that “there is nothing new under the sun”. (more)

Jaan will talk on:

The incredible coincidence that we were born just decades before an imminent technological singularity that threatens to break our model of the evolution of the entire universe.

Added 19Dec: Here slides, bad audio from the talk. Here are slides, audio from my talk at the Oxford AGI-Impacts conference talk a few days before.

Added May ’13: Here is video of my Oxford conference talk.

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At Loooooong Last

In 2001, DARPA started funding my Policy Analysis Market:

We planned to cover eight nations. For each nation in each quarter of a year, we planned to have traders predict its military activity, political instability, economic growth, US military activity, and US financial involvement. In addition traders would predict US GDP, world trade, … and a few to-be-determined miscellaneous items. This would require a hundred or so base markets. Most important, we wanted to let our traders predict combinations of these, such has how moving US troops out of Saudi Arabia would affect political stability there, how that would affect stability in neighboring nations, and how all that might change oil prices. …

[We] prepared for and ran lab experiments comparing two new combinatorial trading mechanisms with traditional mechanism. These experiments, where six traders set 255 independent prices in five minutes, found that a combinatorial market maker was the most accurate. Phase II was mostly being spent implementing a scaleable production version of this market maker.

Alas, disaster hit a month before we were to start live testing, and five months before we were to start public trading:

The media storm hit on July 28, 2003, when two senators (falsely) complained that we were planning to let people bet on individual terrorist attacks. The next morning the secretary of defense announced that FutureMAP was cancelled.

While the press on that event did help jump-start today’s prediction market industry, I have always regretted that the storm didn’t wait until we had a demo to show, of combinatorial markets on Mideast geopolitical events. This is why if felt so satisfying to announce Friday:

We are live! If you register at DAGGRE.org, you can join hundreds of others who browse and edit estimates on over 100 questions intended to be of interest to the US intelligence community. … You can also make assumptions, and then browse and edit as before.

Over nine years later, you can finally see the demo I wanted everyone to see in ’03! Of course this is only a play money market, and it isn’t open to everyone. We don’t allow foreigners, you can’t lose any money in it, and we only pay for activity, not accuracy. So there’s less reason for you to believe these prices as event estimates. But still, you can see combinatorial prediction markets in action. At long looooong last!

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