Introducing Pastcasting: A tool for forecasting practice
TL;DR: Visit pastcasting.com to forecast on already resolved questions you don’t have prior knowledge about to get quick feedback on how you’re doing.
We may try to coordinate multiplayer sessions in our Discord
Motivation
We want to make it easy for people to get better at forecasting. Existing tools are not well optimized for practicing relevant skills.
Forecasting platforms and betting markets[1] have slow feedback loops between predictions and question resolution. The questions with shorter time horizons often feel less important and may be systematically different than those with longer ones. Their scoring systems also incentivize constantly keeping predictions up to date and often heavily reward being the first to react to news
Calibration training[2] isolates the skill of intuiting probabilities and confidence intervals but doesn’t help with other aspects of forecasting (choosing reference classes & base rates, trend extrapolation, coming up with considerations, investigating different views, and determining the trustworthiness of news sources). Additionally, there is usually no reference point to compare your accuracy against.
Pastcasting
With pastcasting, you can:
Forecast on already resolved questions from a vantage point further in the past
Use our filtered search engine (“Vantage Search”) to look up relevant information without accidentally revealing the answer
Receive immediate feedback on your forecasts and get scored against the crowd
Host friendly multiplayer competitions where you and your friends can simultaneously pastcast on the same questions and see who does best
How it works
Question sources
Our questions are currently pulled from resolved Metaculus and GJOpen questions.
Scoring
We use relative log scoring against the original crowd forecast at that time. This means that you will receive zero points if you submit the same value as the crowd. The scoring rule is also strictly proper, meaning that your expected score is maximized if you report your true beliefs.
Vantage Search
Our preliminary results (in yellow) come from a search api with a restricted date range up to the vantage date. To further reduce information leakage (from the website changing its contents), we then pass the results through the internet archive api (in blue). This tends to be much slower, so some pastcasters opt to use the preliminary results directly.
Prior Knowledge
In many cases, users will have specific knowledge of how a particular question was resolved (from reading about it in the news, participating in forecasting that question, etc). We provide a button to skip these questions, and over time we will show questions that many users know the answer to less often.
Give it a try!
If this sounds useful, give it a try and give us feedback on what features would be the most useful and any aspects of the site you find confusing.
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Such as Metaculus, Manifold Markets, etc…
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- Quantified Intuitions: An epistemics training website including a new EA-themed calibration app by 20 Sep 2022 22:25 UTC; 86 points) (EA Forum;
- Voting Results for the 2022 Review by 2 Feb 2024 20:34 UTC; 57 points) (
- Quantified Intuitions: An epistemics training website including a new EA-themed calibration app by 20 Sep 2022 22:25 UTC; 28 points) (
- 10 Sep 2022 14:39 UTC; 4 points) 's comment on Forecasting Newsletter: August 2022. by (EA Forum;
I’ve used this a bit, but not loads. I prefer fatebook, metaculus and manifold and betting. I don’t quite know why I don’t use it more, here are some guesses.
I found the tool kind of hard to use
It was hard to search for the kind of information that I use to forecast
Often I would generate priors based on my current state, but those were wrong in strange ways (I knew something happened but after the deadline)
It wasn’t clear that it was helping me to get better versus doing lots of forecasting on other platforms.
I cannot claim to have used this tool very much since it was announced, but this sure seems like the way to go if one wanted to quickly get better at any kind of medium or long-term forecasting. I would also really love a review from someone who has actually used it a bunch, or a self-review by the people who built it.