Here's a thread about social media decentralization.
A couple years ago, I tried to "like" one of Doomberg's posts about a platform, and I literally saw the heart fill up, and then drain out of it like blood. I'd never seen that before.
Twitter said me liking that was disabled:
Then, when I tried to search on Twitter for that certain platform that apparently can't be named, the search results would replace it with "newsletter" in my search of the network, which was kind of Orwellian:
Even now, I don't say the obvious visible name of that platform that starts with an S. Since an unconscious algo might derank it.
Maybe that's not an issue anymore. Probably.
The funny thing is that I didn't even post about that platform until I couldn't. Then I did a lot.
I keep seeing the chart float around of 23 million government employees, as though that's directly cuttable by the new Department of Government Efficiency.
Keep in mind that 3 million of those are listed as federal and the other 20+ million are state/local.
A thread. 🧵
Now, quantifying the actual federal workforce is actually nontrivial.
-Are we talking civilian, or military too (1.3M)?
-Are we including postal workers (550k)?
Along with Steve Lee @moneyball and Ren @0xren_cf, I co-authored a paper that analyzes the process and risks of how Bitcoin upgrades its consensus rules over time, from a technical & economic perspective.
Bitcoin is hard to change by design, and the methods of how it changes have evolved as the network has grown.
In the paper, we analyze what consensus is, and how different types of entities have different incentives and powers during the course of a potential consensus change.