Notes from a Prediction Markets Meetup

Last week I attended the third meetup by Philadelphia Forecasting Meetup Network on Prediction Markets. I have never played in the prediction markets before, and have no intention to anytime soon, but I have been fascinated by the idea ever since I saw them cropping up in the blockchain space when I was still active there.

Prediction markets take 2 ideas I am personally find challenging: making long term predictions, and making decisions based on your theses. I have read a ton of literature on both these domains but have never been the person who revels in the ambiguity of the space.

The event was fascinating- for one thing I have rarely been in a room with people whose entire careers are based on making predictions – traders, professional poker players, startup founders providing data to prediction markets, app makers, etc. I definitely felt a little bit of an outsider there.

The talk was interesting walking through the history of prediction markets, the challenges of calling the bet in favor of one side or another, when data can be ambiguous (like when governments are closed but not officially reported closed by agencies like the OMB refuse to publish that information, or when dates are involved and the official action is recorded days after the action was executed), and the potential future of prediction markets.

I had not realized that early prediction markets, like The Iowa Electronic Markets (IEM) that began in 1988, were academic efforts that wanted to test whether market mechanisms could aggregate dispersed information better than traditional methods like polling or expert opinion. The early markets also limited the size of the bets which made them better signals than today where people can take out big contracts and then manipulate the markets to win big.

The talk ended with conversations around the future of these markets which will probably be more regulated and how that could be a good thing. The example the speaker gave was interesting: in a more recognized market could airlines hedge their fuel risks via bets on when the Strait of Hormuz would open? Interesting to think about.

Things I read this week (Jan 6, 2023)

Engineering:

  • Figma’s database migration from one giant DB to multiple vertically partitioned databases – My knowledge of database-level aspects of applications is just about functional, relying more on managed services or backend teams to provide my application level code a robust api to work with. However, with my latest project at work, I am starting to look deeper into database elements just to be aware of the tradeoffs we might need to make in the future. This was a great read on how the Figma team transitioned their giant db to a number of vertically partitioned smaller ones and instead of splitting each table across many databases, moved groups of tables onto their own databases. 
  • Computer Scientist Explains Zero Knowledge Proofs in 5 Levels of Difficulty (YouTube) – I really like this YouTube series by Wired that explains technical concepts in ascending levels of complexity/detail. ZKPs are a big topic in my community of Web3 devs and this was a great video that almost everyone can take some learnings away from.
  • Database Fundamentals – A great “from the ground up” read on database technology and concepts. I specially enjoyed the part on various algorithms the database storage engines use.

Design

  • The Genius Design of Dutch Money (YouTube) – It’s a bummer that these are no longer in circulation with Netherlands moving to the Euro, but the focus on clarity and fun make these some of the most interestingly designed currency notes

Fun

  • Children of Time by Adrian Tchaikovsky (Book) – Not surprised that this has won numerous awards and is often talked about as one of the best Science Fiction books of all time. Children of Time explores what happens when a terraforming project goes wrong and a virus designed to speed up simian evolution accidentally ends up evolving spiders instead. I really liked the exploration of civilized spider societies and how their technology would be based on very different primitives than humans’.