Authorisation vs. Consent An Article by Terence Eden shkspr.mobi I recently read this interesting, and distressing, story of a man who was drugged and robbed. A form of crime which has been going on for centuries. But the 21st Century twist is that the thieves forced him to transfer large sums of money via his phone's banking apps. While under the influence, the victim used his usernames, passwords, PINs, and biometrics to send money to the criminal's accounts. Is there a "technological" way to stop this? His banks initially refused to refund the stolen money. Only once the press stepped in did they relent. One bank, Revolut, said: This was an unusual case where the payments were authorised by the customer but, as is now clear, without his consent. Upstream Color crime
Rethinking Twitter Verification An Article by Terence Eden shkspr.mobi The main problem, I think, is that no one knows what "Verified" means. If I were in charge (which I'm not) there would be various types of ticks. 🤖 is a bot 🆔 proved their legal identity 🏭 is run by a brand ⚖ is run by a government department 👮 Official law enforcement 😎 Celebrity And so on. iconographyidentity
Heuristics That Almost Always Work An Article by Scott Alexander astralcodexten.substack.com Sometimes there’s a Heuristic That Almost Always Works, like “this technology won’t change everything” or “there won’t be a hurricane tomorrow”. And sometimes the rare exceptions are so important to spot that we charge experts with the task. But the heuristics are so hard to beat that the experts themselves might be tempted to secretly rely on them, while publicly pretending to use more subtle forms of expertise. …Maybe this is because the experts are stupid and lazy. Or maybe it’s social pressure: failure because you didn’t follow a well-known heuristic that even a rock can get right is more humiliating than failure because you didn’t predict a subtle phenomenon that nobody else predicted either. Or maybe it’s because false positives are more common (albeit less important) than false negatives, and so over any “reasonable” timescale the people who never give false positives look more accurate and get selected for. expertiseheuristicsprediction