I only partially agree with what nostr:npub1nxa4tywfz9nqp7z9zp7nr7d4nchhclsf58lcqt5y782rmf2hefjquaa6q8 said. In particular, he said "there's no instance that decides what's hate and what's not". I believe that is not correct. There is no instance that decides *for everyone*. But for example, each npub can decide what's hate from their perspective (and block accordingly).
Furthermore, since nostr is a free protocol, nothing keeps you from CREATING a new kind of instance that you trust to decide what's hate (or a certain category of hate) and relying on its judgment, for instance by granting it the power to block bad npubs for you.
In this particular case, this would likely be a group #Nostr ladies, who do have the lived experience of being harassed by assholes and creeps (unlike 99% of males who never even come across such a message). Such an entity could decide to "pool" their creep lists so that each member benefits from the work of the others.
Sorry if this has been tried before and I'm not aware of it.
It seems like a web of trust approach could be useful. For instance, you decide to trust fellow users X to identify who's a creep, and hence automatically adopt their creep block list. Maybe something like this already exists?
I agree with this. For example, I don't understand how a mint that can rug everyone isn't an instant deal breaker
Is the MSTR premium a sign of irrational exuberance?
If a recession happens in a country and people don't even notice, is it a good metric?
1. Sure, but those who don't care can easily get identified, and therefore the people that they interact with/follow are much easier to identify by deduction.
2. What's the material difference?
Two reasons why this is a bad idea:
1) Your phone carrier knows both your number and your first name.
2) Assume that the adversary doesn't know names or phone numbers. How many distinct phone numbers are there in the world, like 10^14, tops? How many distinct first names? Millions, although most of the population is probably covered by 100k first names. But let's say that you have on the order of 10^21 hashes to compute, that's 1000 exahashes. The bitcoin network does that every two seconds.
I had tried the Logseq sandbox, and didn't like the fact that everything was a bullet list. Good that it's open source though
Do you use Zettelkasten/knowledge graphs? I tried Obsidian but somehow got bored of it before it bore me any fruit. I do use Zotero though
I really want a picture of the Cantillon effect. It takes 1000 words to explain it, so I am looking for the proverbial picture worth those 1000 words.
Some elements that I think could be on there:
-central bankers shoveling freshly printed cash onto a scale
-wall street & politicians being on the favored end of the scale
-the bulk of the people on the other side, being further removed from access to the good life
nostr:note14nq0gpq9pvfccplz30amxpuajxmfmrzxhtju5pjyq5qr3gef6klqcljqvt
I don't use read it later apps, I just have a browser plugin that limits the number of tabs I can open. That way I have a sort of "kanban board" of pieces to read.
I do read extensively, but I find it hard to radically switch gears from short form to long form. For instance, when I am scrolling through Nostr, and come across a link to a longer text, I will often just open it in a tab and go back to scrolling.
Later, when I am in a different mental mode (looking for depth rather than breadth), I go through my open tabs and read them. Of course I don't read all of them in full, depends on how engaged I am after a few minutes of reading.
In my mind, Nostr is mainly a scrolling medium, not a reading medium. Even though it can be both, e.g. with Habla. I just don't think the two mix well, there is something like a natural frequency for a feed.