testing trust scores. nostr:npub1wamvxt2tr50ghu4fdw47ksadnt0p277nv0vfhplmv0n0z3243zyq26u3l2 has the lowest I've seen from anyone in my web of trust. anything under 90% is questionable

testing trust scores. nostr:npub1wamvxt2tr50ghu4fdw47ksadnt0p277nv0vfhplmv0n0z3243zyq26u3l2 has the lowest I've seen from anyone in my web of trust. anything under 90% is questionable

How does one see a trust score?
I'll deploy the code this evening!
Cool
your score is 95%
Trust me, Im Verified lol
dude 95 is like the best score you can have. 100 means no mutes, aka nothing to say
How low is my score?
99%, suspiciously high
What!? People told me here blabber retard nonsense and also Ive been so rude to prominent people and called them things like fuckheads. Im ashamed. Im a monster. But 99? Thats either a lie or flawed system.
yeah, he's quite unpopular this one. not as much of a jerk as he used to be but still retarded
your score:

it seems to be a good metric of compatibility since it tends to capture a lot of the data relating to which people are interacting with each other
I want to explore the question more of how the score relates to clustering. but for now, I have to go to fiat mine
i've been waiting for someone to build a thing that analyses the relative frequencies of engagement in the form of reactions (and the emoji in it, if any) and replies, to composit against the follow list graphs. i think that would change the results quite a bit. engagement isn't necessarily trust or approval tho, to really dig into that, reactions would need to be analysed relative to the user and who they make them against, as well as using LLMs to pick out the tone of replies
I've been saying that for a long time too.
It would probably improve my results. Not sure.
Not surprising 🤭