2021 Predictions

My Superforecasting notes.

So, this probably should have been written in January. Writing it in March means it should be more accurate. Less time, less variance (see also: Something is always happening)

One of the lessons from thinking like Tyler Cowen was to see the world as it is, not as we’d like it to be. Making accurate predictions is one way to approach that concept. One of the lessons from Phillip Tetlock’s Superforecasting was that improving predictions is possible.

Tetlock gives 10 commandments for better forecasting, one of which is to practice forecasting. Here are the prediction, if you want an overview of Tetlock’s book see the post: Is Bill Simmons a Superforecaster?

Hurricanes. NOAA “An average season has 12 named storms, six hurricanes, and three major hurricanes.”

Will there be more than 12 named storms? Yes, 90%.

Will there be more than 30 named storms (the 2020 record)? Yes, 25%

Will there be 3 or more major hurricanes (top winds of 111+mph)? Yes, 60%

Will I lose power at my home in Central Florida for more than 3 days? Yes, 10%.


Will this blog have more than 41,000 views in 2021 (41k is the 2020 number)? Yes, 15%

Will this blog have more than 800 posts by year end? Yes, 30%


BTC will top 75,000 at any point in the year? Yes, 10%

BTC will be under 30,000 at any point in the year (started 2020 at this point)? Yes, 20%

ETH will top 5,000 at any point in the year? Yes 5%

ETH will be under 130 at any point in the year (started 2020 at this point)? Yes, 20%.

BRKB will top 275 at any point in the year? Yes 10%

BRKB will be under 234 at any point in the year (started 2020 at this point)? Yes, 30%

Economic Recovery These will be graded per Bill McBride’s numbers on Calculate Risk

Any single day of the last week of the year will top 2M travelers (2019 was 2.0-2.5M)? Yes, 75%

Open Table reservations will be down less than 10% YOY? Yes, 75%

Open Table reservations will be positive YOY? Yes, 20%

Any movie earns more than 250M on opening weekend during the year (Dark Knight in 2019)? Yes, 5%

Hotel occupancy tops 60% (graph)? Yes 80%

Hotel occupancy tops 70%? Yes, 60%

Sports (I needed two more)

As of year-end, Tom Brady averages +270 ypg? Yes, 30% (This is an ongoing thing)

The Lakers are NBA champions? Yes, 25%

Is “wet bias” a bad thing?

“Bias” tends to have negative connotations. It’s the “wrong” answer.

The problem here is a translation issue. It’s going from the world of One Answers (mathematics) to the world of Many Answers (life).

Weather is a fascinating demonstration. Nate Silver writes in the 2020 edition of The Signal and the Noise, “The further you get from the government’s original data and the more consumer facing the forecast, the worse this bias becomes.”


(John Gruber) “I staunchly believe that Fahrenheit is the better scale for weather because it’s based on the human condition. Who gives a crap about what the boiling point of water is, it’s the most ridiculous thing I’ve ever heard in my life.”

(Ben Thompson) “The other thing is that Celsius is not precise enough. In the car it adjusts it by point-five because a single degree of celsius is too much for the car. Fahrenheit is more finely grained in a positive way.”

This is why we have a wet bias. We design weather for people.

Silver again, “It’s deliberate and it has to do with economic incentives. People notice one kind of mistake, the failure to predict rain, more than another kind, false alarms. If it rains when it’s not supposed to they curse the weatherman for ruining their picnic. Whereas an unexpectedly sunny day is taken as a serendipitous bonus.”

One change in my thinking over the yeas has been to reframe ‘bias’ as ‘tendency’ and then consider what’s happening. Humans are only illogical in the game of optimization, which matters in the world of calculations rather than considerations.

Wet bias may be inaccurate but that doesn’t make it wrong.