Learning about B2B sales over the years, the size of this leadership-change factor has been among the most eye-opening (and among the most disappointing).

It cuts both ways: You can have a successful pilot that doesn't proceed because this-or-that VP was replaced, and to show off their bold new direction, the new VP cancels almost everything novel the previous person started. Or you can reach out just at the moment the new guy or gal comes in, right when they're looking for the pieces of their bold new direction, and you become part of that.

I would love to have later learned that leaders who evaluate opportunities separate from personal attachment are seen as more efficient, better, and selected favorably; that more successful companies are less subject to this sort of political/careerist whimsy. Alas. At least I have been fortunate enough to experience both directions in quantities that roughly balance out.

The core problem here seems to be that the visions of the buyers were not aligned with Nate Silver's vision. He wanted to continue having a blog on esoteric statistics, but with the resources of a news network. They may have wanted to have a news network, and acquire it at the price of a blog on esoteric statistics. This wasn't a loss-leading "feather in the cap" for Disney, but a bet that simply didn't pay off and needed to be put out to pasture.

From Wikipedia.

Can’t speak for everyone else, but it wasn’t this for me. It was about 2016 presidential that lost me.

He tries to justify this later about how theirs was better than other outlets but I don’t care. Call it emotional, naive, unfair or whatever you want, but regardless I had zero interest in reading any of their predictions or analyses after that.

Not even mad, just that to my experience they had one job and they didn’t fulfill it at the most important time. They went from appearing insightful to just one opinion amongst so many others.

I cannot tell you how much of my professional career I have seen this play out again and again and again.

There is an "executive class" in this country that has never had a real job or done real work. They were born to privilege, they went to elite schools, got their first check from a major consultancy, and then spend their whole career bouncing from C-suite to C-suite. They stare at slides all day, occasionally make a meaningful decision, and more or less spend their time insulating themselves from failure.

This may not describe everyone in charge at every major company, but it describes enough to explain why everything in our economy just feels like it's piggybacking off of a handful of actually good businesses.

I've been burned too many times subscribing to services that go to shit because the owner wanted their payday. Let's stop (only) blaming the buyer.

I can see why they wouldn't be a priority to keep up. For archival purposes, I'd think everything is still in the internet archive?

Nate seems to try to justify this a touch, saying he personally was looking for a specific article. Kind of a special case there…

"Random sample of Internet links" is going to include a lot of absolute garbage.

If we're talking about news sites, or commentary, or blogs, or magazines, or newspapers, or other publishers, the number of dead links will be far higher. Those are the types of sites that are likely to fail, be acquired, get migrated, or become paywalled.

I worked as a technology journalist for years starting in the late 90s. I did a lot of freelance work as well, and almost nothing survives online. There were media brands that were shut down, content migrated to another site, the CMS was migrated from Drupal to Wordpress to something else, there were two or three acquisitions, and so on. Last week, I checked some articles that I worked on between 3 and 10 years ago and they were either 404s or paywalled.

When I left one of the higher-profile pubs in the aftermath of the 2008 financial crisis, I knew my articles wouldn't last even though they were migrated to a sister publication. I made PDF copies of every single one. I still have them in a folder somewhere, not sure what to do with them.

My personal blogs are still up, but even those will die at some point.

Hard to get sympathy here.

In polling circles, the voters tend to be segmented into high and low propensity voters. High propensity voters will always vote. Low propensity voters won't. But the differences are often so small the results can flip on unexpected turnout in just one segment of the voters.

As an example, the 2024 election turned on 3 big factors:

1. Millions of Biden voters in 2020 stayed home. Affordability was the biggest factor but there are were other huge factors too, most notably Palestine;

2. Trump retained the white vote while increasing his share of the Hispanic vote; and

3. Trump activated younger, low-propensity voters. You'll often osee this described as the "podcast sphere". We're talking the people who end up in alt-right pipeline on Youtube and in podcasts (eg Andrew Tate).

Most recent presidential elections come down the results in about 7-8 states. The other 42-43 are known before you go in with some rare exceptions. The most recent exception was Obama in 2008 who won Iowa, for example. Other big sweeps were Reagan in 1984 and Nixon in 1972.

So, with a modern election you can just flip a coin 7 times and you have a 1 in 128 chance of just being correct, 50 out of 50. This is why you need to show your work with any prediction modeling and polling. You need to show how you reached your prediction in terms of turnout as well as how major demographics will vote.

Every election cycle complicates this with external factors and per-state issues. Covid loomed large over 2020 but it also made voting easier than ever, with easy access to early voting and mail-in voting. This changes the high and low propensity voter math significantly. Also, the Arizona legislature went on a mission to punish Native Americans for flipping Arizona blue in 2020 by disenfranchising Native Americans in subsequent elections in many, many ways.

So what tends to happen is that results are close enough that it become s abit of a guess. No pollster wants to be an outlier AND wrong so there's a convergence to mean thing that happens where they all tend to make the same prediction because everybody being wrong is way better, optically, than you being wrong and everyone else being right.

Add to all this, population sampling used to be done on landlines decades ago. Now we just don't have an equivalent and if your sampling algorithm is off, your results are off. Garbage in, garbage out.

I guess my point is that Nate Silver got kinda lucky in 2012 and came back to Earth in 2016 so I've never been that impressed and honestly I jus tdon't care if 538 exists or not.

> What happened in 2024 isn’t something I’d have scripted, though. Basically, their new election model was literally broken, continuing to show Joe Biden virtually tied with Trump even after his disastrous debate. (Evidently because Morris’s design for it had been overcomplicated. These models are hard to design, by the way.)