How to expand the appeal of information markets (reply to Whitaker & Mazlich, part 2)

ALL SOCCER LEAGUES EXPLAINED | Easy to understand

My previous post surveyed this powerful critique of information markets made by Nick Whitaker and J. Zachary Mazlish. Among other things, Whitaker and Mazlish identify three types of investors — savers, gamblers, and sharps — and explain why existing information markets do not appeal to these investors. To recap, three problems with information markets stand out: (1) they are zero-sum (“every winner … necessitates an equal and opposite loser”), which scares away savers; (2) their time horizons are often way too long, for it can take months or even years for some prediction markets to resolve, which repels gamblers who like fast action, i.e. bets that resolve quickly; and (3) they lack liquidity and thus do not attract sharps. (Or to put this third problem another way, without a critical mass of savers and gamblers, it is not worthwhile for most sharps to trade.)

So, what is to be done?

Allow me to introduce you to my secret weapon, my colleague and friend Steve Kuhn. Building on my previous work on “retrodiction markets” (see here, for example), Kuhn has developed an elegant and ingenious solution to the problems identified by Whitaker and Mazlish, an idea he first shared with me on May 16 of this year: a “World Truth League” modelled after professional sports associations, such as the Bundesliga in Germany or the Serie A league in Italy or the Premier League in England. (See, for example, the European football league logos pictured above.) But instead of competing to score the most goals, teams in Kuhn’s truth league would compete over the accuracy of their predictions and retrodictions. By combining the excitement, competition, and camaraderie of sports with the unbeatable information-discovery benefits of markets, a World Truth League would overcome the limitations that hamper existing information markets.

Ideally, our proposed truth league would feature a roster of well-known and respected forecasting and hindcasting teams composed of individuals or groups. These teams could consist of well-known pundits or famous talking heads like New York Times opinion columnists David Brooks, Frank Bruni, Ross Douthat, Maureen Dowd, Thomas L. Friedman, Ezra Klein, and Paul Krugman, just to name a few, as well as influential bloggers with many loyal followers like Scott Alexander, Bryan Caplan, Tyler Cowen, Robin Hanson, Nate Silver, and Alex Tabarrok. The possibilities are endless. (As an aside, teams composed of lesser-known bloggers and pundits could play in a relegation league.)

Better yet would be actual “teams”, i.e. groups of individuals who share the same institutional affiliation. By way of example, imagine how cool it would be if, say, wonky Microsoft Research, the classical liberal Mercatus Center, or the progressive editorial board of the New York Times were to field their own teams.

In addition, the World Truth League could also feature artificial intelligence/large language model-inspired teams fielded by popular “AI” or “LLM” programs, including the current crop of top AI models (the best of the best, so to speak), such as Anthropic’s Claude 3.5 Sonnet, the latest iteration of Google’s Gemini, Meta’s Llama 2, and OpenAI’s GPT-4o, as well as lesser-known or experimental ones like Falcon 2 and VimGPT. (Look them up!)

Simply put, a league format in which well-known and highly-regarded individuals, institutions, and A.I. models compete against each other in real time would attract a lot of public interest and free publicity. By their very nature, sports–and games more generally–combine excitement, competition, and camaraderie. (See, for example, this 2014 essay in the Columbia Journalism Review. See also Johan Huizinga’s classic study Homo Ludens: A Study of the Play-Element in Culture.) Their zero-sum nature is thus a feature, not a bug, or as Whitaker and Mazlish themselves observe, sports betting is popular because of the communal nature of sporting events and their inherent unpredictability:

Beyond their exciting unpredictability and quick conclusions, sports matches are communal events of general interest. People are already fans of sports teams, even before the betting starts, and the predictable pace of seasons creates an ongoing community.

But these observations pose many additional nuts-and-bolts questions. How many rounds would the teams play, and how would we score each round? Would there be playoffs or a championship? And, most importantly, how would the accuracy of each team’s forecasts or predictions–as well as their “hindcasts” or “retrodictions”–be measured? Steve and I and a few others have been working on these logistical questions for many weeks, and I will report our preliminary results in my next post.

Note: This post was revised and updated on July 1st.

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Reply to Whitaker & Mazlich’s critique of information markets

Why prediction markets aren't popular - Works in Progress

I linked to Nick Whitaker and J. Zachary Mazlish’s powerful critique of existing prediction markets (“Why prediction markets aren’t popular“; see above) in one of my previous posts (see here), where I also promised that I would respond to their points, so here it goes:

I must, however, begin with a confession. Although I read Whitaker and Mazlish’s words over a month ago (their excellent piece was published on 17 May 2024), it has taken me over a month to reply in large part because their critique of prediction markets is a devastating one. For starters, they pre-empt prediction market defenders like yours truly by first exploring the legal environment of prediction markets. Although a few well-defined betting categories are illegal (e.g. assassinations, elections, etc.), Whitaker and Mazlish conclude that “prediction markets are, in large part, legal …” In other words, prediction markets have failed to attract investors not because of regulatory impediments or other “legal failures” but for other reasons.

So, what are these reasons? Here, Whitaker and Mazlish’s deliver a mortal one-two-three combination knockout punch. In summary, they first identify the three types of investors or traders that prediction markets must appeal to in order to succeed: (1) cautious or risk-averse “savers”, i.e. long-term investors; (2) thrill-seeking, risk-loving “gamblers”, i.e. dumb-money day-traders or short-term investors; and (3) “sharps” or professional investors. And then they explain in so many words why prediction markets do not appeal to any of these groups of traders:

  1. Savers: For starters, prediction markets don’t appeal to “savers” because such markets are zero-sum: “Every winner of a prediction market necessitates an equal and opposite loser”. Most “savers”, by contrast, prefer low-risk portfolios that are expected to generate positive returns over long time horizons.
  2. Gamblers: Next, prediction markets don’t appeal to “gamblers” because most prediction markets take too long to resolve: “for gamblers, quick resolutions are one of the key things that make a bet attractive and exciting”. In other word, “gamblers” mostly prefer quick action, i.e. bets with fast payouts, the same day they are made.
  3. Sharps: Last but not least, prediction markets don’t appeal to “sharps” because of the lack of dumb-money gamblers and liquidity-providing savers. Without these first two groups of traders, sharps are left with little incentive to join the fray, or in the eloquent words of Whitaker and Mazlish:

As most prediction markets also lack many of the features that attract gamblers, whom sharps would prefer to trade against, sharps are left with the unappealing prospect of trading only with one another. This is analogous to turning up to a poker table and discovering that all of the other competitors are poker champions. You would much rather have been at a table of drunk tourists.

But what if we could somehow attract high-risk gamblers and low-risk savers? As it happens, my colleague and friend Steve Kuhn is creating a new type of information market that many gamblers — and maybe even some savers — might find attractive. Why? Because Kuhn solves most, if not all, of the problems identified by Whitaker and Mazlish! Stay tuned, I will describe Kuhn’s ingenious proposal in my next post.

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Twitter Tuesday: Antoni Gaudi

Despite the unceasing and unfathomable efforts of Elon Musk to destroy the Twitter platform (see here, for example), I am still often able to find little eclectic gems like this thread:

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My podcast with Tony Suarez

Shout out to my colleague, friend, neighbor, and mentor Tony Suarez for inviting me to join his popular “I need to know” podcast last week. Among other things, we discuss the valuation of business firms, the dramatic decline in Puerto Rico’s population, and my latest textbook.

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Sunday song: *Fell in Love*

My wife Sydjia and I heard this beautiful ballad for the first time last weekend at Azay, a cozy restaurant in the Little Tokyo neighborhood of polyglot Los Angeles. I dedicate this song to her.

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Taxonomy of PowerPoint slides

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Shouldn’t June 21st be a holiday?

New Hampshire Colony

On 21 June 1788 (236 years ago today!), the United States Constitution officially became law when little New Hampshire, the first of Britain’s North American colonies to establish an independent government and state constitution (see here), became the ninth state to ratify our new national charter. To commemorate this moment in North American history, I am reblogging my post from last year on this day, which contains a chronological listing of all of my constitutional law papers, to which list I should now add my forthcoming paper “Gödel’s Interbellum” (to be published this fall).

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This day in legal and political history: Tennis Court Oath

On this day (20 June) in 1789, deputies of the “Third Estate” of the Estates-General (see here and here) met at the Royal Tennis Court in the Palace of Versailles, where they made “a solemn oath never to separate … until [a new] constitution of the realm is established and fixed upon solid foundations”, i.e. until they had drafted a written constitution limiting the absolute powers of the king. (For more details about this historic moment, see here and here.) This pivotal episode in the French Revolution was later immortalized by the great Jacques-Louis David in his unfinished fresco The Tennis Court Oath (pictured below), an epic symbolic work that merits its own separate blog post. In the meantime, see here.

File:Le Serment du Jeu de paume.jpg
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Wikipedia Wednesday: Juneteenth

Celebrate freedom! Today (19 June) is officially “Juneteenth National Independence Day” in the U.S.: https://en.wikipedia.org/wiki/Juneteenth. Bonus track below:

Update: alas, when my daughter and I visited the mall today (Americana at Brand), all the stores but one (Nike) were open for business.

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Noise versus quiet (Atlantic edition)

For some unknown algorithmic reason, a strange essay published in The Atlantic in 2022 kept popping up in my Twitter feed this weekend. This obscure essay, which is titled “Why do rich people love quiet?“, immediately brought back memories of my torts professor and mentor Guido Calabresi, who changed my intellectual life forever. Among other things, Guido — to this day, he prefers to be called by his Christian name — introduced me to the works of Ronald Coase and taught me a disturbing Coasean/Calabresian insight: most conflicts, including disputes about noise, are almost always “reciprocal” problems, i.e. both the “victim” and “wrongdoer” are often jointly responsible for whatever harm has befallen one of the parties. To this end, I can still remember one of the cases Guido assigned, Sturges v. Bridgman or what I now call “the case of the noisy confectioner”, and his unorthodox discussion of the reciprocal conflict between the silence-loving doctor and noise-making confectioner in that classic case. More generally, Guido asked us, what legal or moral rights should men of contemplation (like the doctor in Sturges v. Bridgman) have vis-a-vis “doers” or men of action (like the noisy confectioner)?

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