[sci.nanotech] Update 11: Letters to Robin Hanson

josh@cs.rutgers.edu (04/20/91)

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|  The following material is reprinted *with permission* from the     |
|  Foresight Update No 11, 4/15/91.                                   |
|  Copyright (c) 1991 The Foresight Institute.  All rights reserved.  |
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More Market-Based Foresight
by Robin Hanson

Many people wrote to offer friendly criticism of Robin HansonUs
"Market-Based Foresight" proposal, which we published in a previous
issue (Foresight Update No. 10).  Here he responds to a few such
comments:

"One of the problems with your idea, as I see it, is that it allows a
way for special interests to try to buy public policy decisions.
Suppose the government is thinking about funding projects for the
development of new energy sources, and wants to create a market for
the question of whether or not (say) cheap fusion will be available
within 10 years. The gas/electricity industry then has a vested
interest in heavily buying up negative opinions of the issue, since
such a program would later cut into their profits.  They thus have the
motive and means (more money than others are willing to invest, even
if the odds are good) to...create a self-fulfilling prophesy...  All
in all, a very intriguing proposal."
    Jay Sipestein
    Carnegie Mellon University

Hanson: Yes, it would be dangerous to decide to fund fusion based on
bets about whether fusion power will be cheap in 10 years, since this
will in part depend on whether fusion research is funded now.  But a
slight variation can help us to avoid such self-reinforcing
prophesies.  We could bet on the future price of fusion power
conditional on the level of funding between now and then. (A
conditional bet is "called off" if the condition is not met.)  There
would be different bets about different possible funding levels, and
funders might decide to fund fusion only if the market predicted that
the results with funding were sufficiently better than the results
without funding.

The problem of harmful self-fulfilling prophecies (also called "moral
hazard") is present but tolerable in most markets.  Anyone can buy
stock, though they might sell short the stock of some aspirin maker
and then poison their capsules.  Moral hazard can be avoided entirely
if we stick to bets about unchangeable facts of nature, like the mass
of the electron neutrino.

"It seems that in many cases neither a deadline nor a jury will be
necessary.  If the market is now more convinced than before that some
statement is true, it is by itself an opportunity for the statement's
supporters to benefit from their bets, and no official verifications
are needed....One can also be allowed to withdraw all or a part of his
stake at any time by [an equivalent of] betting against himself
according to the current odds, and then taking away the money he has
put for both sides--without affecting anyone else's interests. The
presence of a jury is costly, complicates the situation, is
unnecessary when the jury agrees with the market's opinion, and
creates conflicts and public discontent when it doesn't. This
mechanism by itself will hardly be sufficient for education on, or
funding of, any given subject, and will have to be carefully
integrated with other existing methods of work and coordinational
entities.  But [your proposal] is a promising idea, and in my opinion
is well worth working on..."
      Alexander Chislenko
	Cambridge, MA

Hanson: We do want to avoid the various costs of using judges that you
mention, though if we do away with judges completely I fear a
strategic bargaining game.  A well financed person or group might
ignore the evidence and just push the price on some claim in some
direction and spend what it takes to hold it there.  This strategy
pays off if other bettors canUt or wonUt hold out as long, and hence
quit at a loss. A compromise is to create incentives for players to
"settle out of court," so that in the absence of strategic behavior
judges are not needed. For example, we might set the official judging
date to be long after we expect the steady accumulation of evidence to
naturally resolve the issue.  Yes, betting markets are not a panacea,
and will need to co-exist with other related institutions.

"...the long-term nature of such betsU would necessarily require a
group of similarly long-term investors.  After all, the opportunity
costs of such a bet would be significant, if one had to wait five
years with funds in escrow for its resolution.  Even longer-term bets
would be more difficult...  I think your model is intriguing, and
could solve many of the problems with today's 'court advisor' model of
futurism."
   Craig Hubley
   Toronto, Canada

Hanson: Yes, there are problems with long-term investments, though not
the ones usually imagined.  Markets in bets that won't be officially
settled for several decades can still have liquid markets which allow
investors to enter or leave at any time, can offer as high an average
rate of return as the stock market, and can offer daily price
fluctuations similar to those in the stock market.  The real long-term
investment problem is again that some investors may think it would
take the market too long time to come to its senses and reward their
wise purchase, and so they don't bother to fight the crowd. All
markets face this problem, allowing speculative bubbles to persist.
So, yes, price movements over longer time scales may be less rational.
But it's not clear that any alternative funding or consensus
institution deals with this problem any better.

Most people react to my proposal by saying "interesting, but here are
some problems."  This was my reaction too, and most of my efforts have
centered around identifying such problems and finding ways to deal
with them.

Correction: In the article I claimed that "over the last six months
alone, there is less than a one in 10^10 chance of someone randomly
winning [Piers Carbyn's] 25 bets a month at his over-than-80% success
rate." The actual chance depends on how independent the bets in a
single month are, and (now using the last fifteen months of data) is
somewhere between one in 200 (total dependence) and one in 10^60
(total independence).
  
Robin Hanson researches artificial intelligence and Bayesian
statistics at NASA Ames, has master's degrees in physics and
philosophy of science, and has done substantial work on hypertext
publishing. To receive his longer paper on the above topic, send us a
self-addressed stamped envelope (with 45 cents postage within the
U.S.), or send electronic mail to hanson@charon.arc.nasa.gov.

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