4,657 karma · joined November 30, 2018
And unlike, say, India, getting that number down is much easier (people resist being killed, but freely distributed contraceptives would likely by welcomed by women).
The oddest thing about this to me is that they don't seem to think through what exactly this implies.
If one truly believes in the need to reduce human population then by far the highest margin things are not things like preserving a few hundred year old forest in England, but mass introduction of contraceptives to the DRC. It'll be places like Nigeria and Congo that dominate in terms of number of humans next century, not dying Europe (whose resource usage will decline even faster as fertility free falls), and those countries are not going to remain low resource consumption for too long.
Reports of Tesla cars being awful and full of problems have been around for a decade, but the people I've directly spoken to like their Teslas, though none own a Cybertruck.
Where does this come from?
The article we are discussing mentions various bits of helping, as does the wikipedia page.
It looks like a complex mix of various entities doing different things they think would help, some effective, some not.
That particular peak is probably much older. Charity at a non-negligible scale to distant (meaning "not literally in visual range") people has been very rare throughout history.
It's just going to be the default view if one does not have further information.
A bit of dependence that would need reducing later is a very small price to pay to avoid a million starved.
Would you take that bet?
My understanding is that coal, wood and iron ore were plentiful in England itself.
> You've cited LessWrong so many times that Eliezer Yudkowsky is considering charging you royalties for intellectual property use. > Your comments have more 'bits of evidence' and 'probability updates' than most scientific papers. Have you considered that sometimes people just want to chat without Bayesian analysis? > You spend so much time trying to bring nuance to political discussions on HN that you could have single-handedly solved AI alignment by now.
How often has this happened?
Trump is not an obscure topic. "Trump lies all the time" is not a novel statement people won't have encountered and considered before, if someone already believes "Trump lies all the time" then that sentence tells them nothing new and if they don't believe it the post is hardly going to change their mind.
Could they not make the scope easily replaceable by the user and just supply a couple of spares?
Just thinking of how cars are complex machines but a huge variety of parts could be replaced by someone willing to spend a couple of hours learning how.
If there is literally no tangible difference then it's just label games and metaphysics and doesn't matter.
> Your personal income has absolutely no predictive value on gdp.
It actually is correlated (admittedly in most day-to-day cases it's just a lagging indicator, but things like natural disasters hit both). It's not the strongest correlation but it would still be evidential. Definitely under 1.0 bits though... One would need a LOT of such observations and having them not screen each other off to start getting a convincing number of bits.
Probably not realistic to have humans manage these sorts of numerous tiny updates though...
/nitpicks
> Ah, but if either side distrusts the other about whether the observation made is truthfully reported, how do you solve that? It requires some amount of trust and right now there’s a very clear divide there.
Yeah, it gets much trickier like that. But I do think two reasonable people from the opposite political sides could agree on some sort of observable to the extent their disagreement is anything other than narrative.
Which is a shame because this is certainly a topic it's possible to do that on (e.g. this comment here: https://news.ycombinator.com/item?id=43105417 ).
Are the good comments really worth the large amount of heat?
If "democracy" is just metaphysics then it's irrelevant. But if it has actual tangible effects such as "can you vote?", "can you protest the government?", "is the leader of the opposition arrested?", "do most people think they live in a democracy?", "how popular is new legislation compared to previous years?", etc...
Then you can make predictions about it and test them!
You can even do local predictions if both can agree, such as "will the combined incomes of my family be higher or lower in 4 years time?" as low coupling proxies for gdp. (Ideally one would use probabilities for loosely linked proxies like that and use the probability differences the two theories assign to give bits of evidence to one over the other, so you'd want many many such proxies, ideally uncorrelated ones)
Just some observable metric.
If they literally can't come up with a single observable predictive difference then the predictive aspects of their models are actually equivalent and they are only narratively different and don't "really disagree". Like Copenhagen interpretation vs many worlds.
So try to come up with some sort of future observation that can be made where you think the other person's model would give a different answer to yours about what you would be able to objectively observe.
What do you reckon?
1. Exploring a new domain and getting some terms I can google for.
2. Making small scripts to do things like query github's GraphQL API.
3. Autocomplete of code using copilot.
Its only commercial airline crashes in the USA that are vanishingly rare. Once you expand scope to all types of planses or the world as a whole you get a lot more.
It has always been thus. E.g. right wingers did not use twitter back in 2021.
I will grant it's getting worse though... for instance, the battle here on hackernews between left and right has strongly intensified and it looks like the left will win the downvote/flagging war and the right will stop posting in (and reading) political threads.