July Update

July 8, 2010 by Michael Graham Richard

This is just a quick update to let you know what is going on with this blog and why it hasn’t been updated recently.

A few months ago, I started suffering from RSI, no doubt caused by spending 60+ hours/week sitting on front of the computer for many years. I’ve done my best to reduce the number of time that I spend typing and using the mouse each day, but because that’s my day job, it mostly meant cutting on my evening and weekend side projects like this blog.

Based on information I found online and in books (this one in particular), I’ve started doing exercises and stretches, I made my desk more ergonomic and got a good chair, and I’m seeing a physical therapist next week. I’m confident I can heal, but this is something that takes a while, so I might have to stay away from this blog for a little longer.

I have no plans to drop it completely, though. This is just a temporary hiatus. I hope you’ll consider hitting the RSS button and subscribing so you automatically get notified when I’m back. Cheers, and read up on ergonomics and RSI before it’s too late. As they say, an ounce of prevention…

Doomsday Predictions

April 18, 2010 by Michael Graham Richard

By definition, all but the last doomsday prediction is false. Yet it does not follow, as many seem to think, that all doomsday predictions must be false; what follow is only that all such predictions but one are false.

-Richard A. Posner, Catastrophe: Risk and Response, p. 13.

For more on existential risks, check out Nick Bostrom’s paper explaining what they are.

Google Tech Talk: Kirk Sorensen on the Liquid-Fluoride Thorium Reactor

February 22, 2010 by Michael Graham Richard

A cubic meter of the average crust of the Earth has about 12 grams of Thorium in it, and that would be enough to power your life for about 10 to 15 years. At Western standards of living.

Very intriguing stuff. I highly recommend watching the whole presentation (1 hour and 22 minutes long, so make sure you have the time or save it for later):

Science is the Only News

February 15, 2010 by Michael Graham Richard

Science is the only news. When you scan through a newspaper or magazine, all the human interest stuff is the same old he-said-she-said, the politics and economics the same sorry cyclic dramas, the fashions a pathetic illusion of newness, and even the technology is predictable if you know the science. Human nature doesn’t change much; science does, and the change accrues, altering the world irreversibly.

–Stewart Brand, Whole Earth Discipline (2009), p. 216

Why Google is Not Like Microsoft and Facebook

February 15, 2010 by Michael Graham Richard

Switching Costs and Incentives
Google makes most of its money from ads (over 95% of revenue), and a very large portion of these appear on search results.

If Google wants to keep making money, it must encourage people to keep using its site for search. But the switching costs for search engines are very low (change a browser setting and/or a bookmark and that’s it). Right now, the average internet user probably doesn’t know how to do that, but that’s mostly because there hasn’t been a need for it so far; if Google was to significantly fall behind the competition or anger its users (and then turn a deaf ear to the complaints), how to switch to a different search engine would become common knowledge in the same way that people figured out how to switch from Altavista and Lycos a few years ago.

So Google’s incentives are aligned in such a way that it has to keep making products that are liked and very functional, and it must avoid at all cost giving its users reasons to switch. They also benefit from a vibrant web ecosystem with users constantly going from one site to the another (not staying on Facebook all day) and looking for new things.

Things are different at Microsoft. It makes most of its money from the Windows operating systems and the Office suite of applications. With these, switching costs are significantly higher than with search for the average user. We’re not talking about a few simple clicks anymore. This is scary enough that most people will endure a lot of pain and put up with a lot of inconveniences before they’ll consider dropping Office or Windows (especially the latter).

Read the rest of this entry »

Cognitive Biases: Endowment Effect and Loss Aversion

February 13, 2010 by Michael Graham Richard

Another good real-world example of cognitive biases was present in the January 16th edition of The Economist. This time, it’s two similar biases, the “endowment effect” and “loss aversion”:

A man may say he would not pay more than $5 for a coffee mug. But if he is told that the mug is his, and asked immediately afterwards how much he would be willing to sell it for, he typically holds out for more. Possession, it appears, lends things an added allure. [...]

At the beginning of the week, some groups of workers were told that they would receive a bonus of 80 yuan ($12) at the end of the week if they met a given production target. Other groups were told that they had “provisionally” been awarded the same bonus, also due at the end of the week, but that they would “lose” it if their productivity fell short of the same threshold.

Objectively these are two ways of describing the same scheme. But under a theory of loss aversion, the second way of presenting the bonus should work better. Workers would think of the provisional bonus as theirs, and work harder to prevent it from being taken away.

This is just what the economists found. The fear of loss was a better motivator than the prospect of gain (which worked too, but less well). And the difference persisted over time: the results were not simply a consequence of workers’ misunderstanding of the system. (source)

The fact that it kept working over time, even if the workers understood what was being done, shows how powerful these biases are. The reason for that is almost certainly because they helped our ancestors survive and reproduce; in a very dangerous environment, it is better to be risk-averse and live to see another day than to take a chance and die, and over-valuing what you already have probably made sense in an environment where acquiring desirable things was much harder than it is now.

For more on these biases, see:

See also: Rationality Resources

Cognitive Bias: Halo Effect

February 10, 2010 by Michael Graham Richard

While in the waiting room at a clinic, I read the following in the January 16th issue of The Economist:

Simon Anholt, an analyst, heroically estimates the value of the “Obama effect” on America’s global brand at $2.1 trillion. Each year, Mr Anholt commissions a poll of 20,000-40,000 people to find out how much they admire various countries’ people, culture, exports, governance, human-rights record and so on. He finds that admiration in one area often translates (illogically) into admiration in others. When George Bush was president, foreigners expressed less positive views of American goods, services and even the landscape. Under Mr Obama, he finds, America is once again the most admired country in the world (having slipped to seventh place in 2008). Using the same tools that consultants use to value brands such as Coca-Cola or Sony, he guesses that the value of “Brand America” has risen from $9.7 trillion to $11.8 trillion. Writing in Foreign Policy magazine, Mr Anholt calls this “a pretty good first year”. (source)

This is a good example of a cognitive bias called the Halo Effect. It can apply to individuals, groups, things, and even abstract concepts like brands or ideologies.

For more on the Halo Effect, see:

See also: Rationality Resources

Less Wrong Q&A with Eliezer Yudkowsky: Video Answers

January 8, 2010 by Michael Graham Richard

Eliezer’s video answers to 30 questions from the Less Wrong Q&A can be found here.

Robert H. Lustig on Sugar (Video)

January 4, 2010 by Michael Graham Richard

This video is an hour and a half long, but I think it’s worth watching:

For more on how the Western Diet (high in refined carbohydrates) is causing metabolic syndrome, I also recommend “Good Calories, Bad Calories: Fats, Carbs, and the Controversial Science of Diet and Health” by Gary Taubes.

Aubrey de Grey on Mitochondrial Mutations and Aging

December 25, 2009 by Michael Graham Richard

Less Wrong Q&A With Eliezer Yudkowsky

November 11, 2009 by Michael Graham Richard

A couple weeks ago I made a suggestion to the Less Wrong community: How about a Q&A with Eliezer?

Some were against, but a majority of people seemed to think it was a good idea, and Eliezer agreed to participate (he will film his answers to the questions that have received the higher number of votes), so I went ahead and created a thread where people can ask their questions:

If you have a question for Eliezer, all you need is a Less Wrong account. The rules are simple.

Allocate Your Studies Wisely

October 14, 2009 by Michael Graham Richard

Studies photo

There’s a danger that lurks for those of us who are curious about lots of things and love learning, and it is that our “learning efforts” (of which there is a scarce supply) end up being allocated by external factors rather than by internal priorities. These outside forces bring us somewhere – and it might seem like a good place to be – but if we had initially asked ourselves where we wanted to go, it probably would’ve been somewhere else.

That might not be very clear, so allow me to demonstrate what I mean with three real-world examples:

Whole Brain Emulation
Earlier this year, during a trip to Detroit, I read a paper by Anders Sandberg and Nick Bostrom titled: Whole Brain Emulation: A Roadmap.

Going in, I knew that my goal was only to get a good idea of what was currently possible and where things were headed with whole brain emulation (WBE). I didn’t understand most of the paper (a lot of it is very technical), but the ~10-15% that made sense to me was enough to reach my goal, so I accepted that a lot of it was over my head.

To get to a level of comprehension significantly higher than the one I had would’ve required a massive amount of efforts, and that would have been disproportionate in relation to my target (my goal was not to become a brain scientist, but rather to understand the challenges and opportunities of WBE specifically).

Causality
Not long ago, I got Judea Pearl’s Causality (a book I’ve been meaning to read for years).

Read the rest of this entry »

Miscalibrated Minds: Why Don’t We Apply What We Know About Twins to Everybody Else?

September 30, 2009 by Michael Graham Richard

Diane Arbus identical twins photo

We’re Inconsistent About How Much Weight We Attribute to Genes
I think our intuition might be miscalibrated when it comes to evaluating how much a person’s genes impact how they turn out physically (which isn’t surprising). What’s a bit strange is that we seem to be closer to the truth when it comes to twins.

Nobody’s surprised when identical twins turn out to have very similar bodies (weight, muscle mass, etc), even into adulthood.

But when it comes to non-twins, people seem to think that “making the right choices” and “willpower” are primary factors in how human bodies turn out, and that we can assign a good amount of personal credit or blame to individuals for good and bad outcomes.

There is a disconnect between these two visions, and I think that it’s the latter that needs to be updated.

After all, even if we put aside the direct ways in which our genes build our bodies (encoding how our tissues grow) and instead look at our abilities to “make the right choices” and exert “willpower”, we find that those are also greatly determined by genetic factors. Identical twins probably turn out very similar in good part because they have almost identical amounts of those qualities of mind.

Wrong by Degrees
This doesn’t mean that all is pre-determined and that if we all stop trying we’ll turn out the same we would have otherwise, but rather that we are playing within certain parameters, and that the part we control is probably smaller than most people think (not non-existent — we still deserve some credit — just more modest).

To be clear, I’m not saying the situation was white and we thought it was black, or even that it’s a black & white thing, but rather that most people’s intuition might be the wrong shade of gray. Otherwise, I would think there would be a bigger variation between identical twins, but they spend their lives making different choices yet most stay very similar to each other (as far as I know — if you know of a study on this, please send it my way).

This article has been cross-posted on LessWrong. There’s more discussion of it in the comments over there.

Most Crashes Happen On Dry Roads…

September 26, 2009 by Michael Graham Richard

Traffic by Tom Vanderbilt image

The excerpt above is from page 185 of Traffic: Why We Drive the Way We Do (and What It Says About Us) by Tom Vanderbilt.

It comes at the end of a chapter on risk perception, ie. roads that seem safer can be more dangerous than we think because they encourage us to drive more dangerously, while roads that seem dangerous can actually be safer than we think since they make us slow down and pay more attention. The dangerous-looking roads might still be more dangerous than the safe-looking roads in the absolute, but both of them might not be respectively as safe or dangerous as drivers tend to think…

Anyway, what annoyed me is the last sentence of the excerpt. I think it’s a good real-world example of misleading statistics.

While it might be literally true that most crashes “happen on dry road, on clear, sunny days, to sober drivers” (I wouldn’t swear to it, I haven’t seen the stats), it doesn’t take into account the difference in sample sizes. In most places, the roads are dry more often than not, and most days are sunny, and most drivers are sober.

These conditions might produce a higher total number of crashes, but what really matters is how many crashes they produce per driver. If you look at it this way, it’s probably pretty obvious that wet roads, at night, with drunk drivers cause a lot more crashes.

See also: Rationality Articles

Invisible World

September 25, 2009 by Michael Graham Richard

Pollen photo

I Can’t See You, But I Know You’re There
I don’t think I spent a day of my life without thinking about invisible things. Of course I’m not talking about truly invisible things as in supernatural thing, but rather things that are invisible to the naked eye but that we know are there because we can see or measure them with instruments.

Every single day I randomly think about things like allergens (the photo above is of pollen), DNA, cells, viruses, atoms in various conformations (proteins, lipids, hydrocarbon chains, neurotransmitters, etc) and of various kinds, radio waves, photons and electrical flows (from how much energy is used when I flip various switches to the incredibly fast pulses that encode everything in my computer and over my broadband connection). I also often think about the large invisible things, like stars, galaxies, nebulas, black holes, and the vastness of space in between it all.

Our brain has a hard time with these things because, as Richard Dawkins would say, it has evolved in “middle world” and is simply not equipped to grasp these things properly at scale.

What’s Your Relationship With the Unseen?
I know that it’s probably not that way for everybody, and it makes me wonder how it changes my perception of the world.

How do you see the world? Do you naturally think about invisible stuff, or do you rarely consider these things? Please let me know in the comments below.

Amazon Text Stats

September 20, 2009 by Michael Graham Richard

Amazon Text Stats image

Analyzing and Comparing Books
I have just noticed that Amazon has a “Text Stats” section on its book pages. I’m not sure how long it has been there, but it’s very interesting.

  • The Fog Index was developed by Robert Gunning. It indicates the number of years of formal education required to read and understand a passage of text.
  • The Flesch Index, developed in 1940 by Dr. Rudolph Flesch, is another indicator of reading ease. The score returned is based on a 100 point scale, with 100 being easiest to read. Scores between 90 and 100 are appropriate for 5th and 6th graders, while a college degree is considered necessary to understand text with a score between 0 and 30.
  • The Flesch-Kincaid Index is a refinement to the Flesch Index that tries to relate the score to a U.S. grade level. For example, text with a Flesch-Kincaid score of 10.1 would be considered suitable for someone with a 10th grade or higher reading level.

Information Technology & Book Writing
I wonder how long before publishers and writers start to use this data to better zero in on certain targets in the hope of better reaching their target demographics. I’m sure that someday – if it hasn’t already happened – writers will get notes from editors asking them to “bring the Fog Index rating of their manuscript down by at least 20%” or “reduce the number of complex words by 10%”, all based on statistical analysis of the composition of recent best sellers.

A kind of Search Engine Optimization (SEO) for books, in a way.

Like all tools, it could be abused and lead to bad results. But if used properly, it could result in more readable books and reduce the variability in quality output between individual editors (probably not by much, but any improvement would be welcome).

The pic on top of this post is from the Amazon page for I Am A Strange Loop by Douglas R. Hofstadter (which I’m currently reading).

Here’s an excerpt that I liked:

I Am A Strange Loop book

Update: Just to make it clear, this post isn’t an ad for I Am A Strange Loop. It’s just the book I looked up on Amazon when I noticed the Amazon Text Stats feature, and I thought some people might be curious to know which book the Text Stats in the screenshot came from.

If you liked this post, please consider subscribing to my RSS feed. Thanks.

Aubrey de Grey’s Paper on the Methuselarity

September 17, 2009 by Michael Graham Richard

Photo: So we got a Chalkboard

August 9, 2009 by Michael Graham Richard

Chalkboard with rainy cloud photo

I think the weather this summer has inspired Mélanie…