One thing this information highlights, though, is the kinds of assumptions companies make after compiling this data, and oftentimes those conclusions are incorrect.

I guess it's a little alarming that the companies that are buying this information are making business decisions based on things that are not true at all.

I had assumed that the scariest part of this would be that companies know a lot of things about me that I didn't want them to know.

But there's this new level of fear that's unlocked when companies think they know things about me and are making decisions based on it when it's actually not true at all.

I know I keep repeating this point, but to almost every single thing that Ethan brought up to you, what, what does that tell you about the state of the technology sector and, you know, how to parse through the realities of this technology and what we are told by the investor class, by, you know, the CEO class in Silicon Valley?

It reflects that maybe the goal of this technology is not even necessarily to get it right or to know things with certainty, and more just to have a basis on which to target ads.

Which makes me questionWhat is really the purpose if it's not to be 100% accurate or at least close when you're making these decisions? And what, what value are these kind of intermediaries actually providing?