Remember: Just because an idea is old doesn't mean it's good.

Knowing whether old ideas are more likely to be good requires understanding whether conditions have changed in important ways.
Horse archery was an amazing method of warfare for over a thousand years...then people invented guns, and suddenly this great idea that had stood the test of time became obsolete.
Then again, when underlying conditions don't change much, tried-and-true approaches are probably better.
"Learning the lessons of history" usually just means assuming ergodicity and stationarity in an informal time-series model...

(end)

More from Noah Smith

Time for panel #3: Big Tech and regulation!

I will be live-tweeting again, and you can also watch video at either the Twitter or Facebook links below!


Kaissar: Every industry gets regulated when it gets big. The question is what kind of regulation Big Tech will get,and whether the companies will be proactive in shaping it.

Kaissar: More profitable companies have higher returns. Why? Maybe it's a risk factor, because more profit = higher risk of getting regulated.

Bershidskyis showing a diagram of GDPR complaince pop-ups. What a massive ill-conceived bureaucratic mess.

Ritholtz: It's 2018 and we're still talking about Facebook privacy settings?! If you're still giving your personal data to Facebook, you just don't care about privacy!

More from Society

I've seen many news articles cite that "the UK variant could be the dominant strain by March". This is emphasized by @CDCDirector.

While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.

Here's how: 🧵

One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.

Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:

https://t.co/tDce0MwO61


Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.

Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):


Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.

If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.

Simple example:

Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant

1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%

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