aaaa ko li utala e mi la mi utala e ko

ko li utala e mi!!! mi wile moli e ko ale!

if ios, then Arctic for sure. it’s the only one that feels as smooth as apollo did, has some excellent customizability, and is just as feature rich as the more popular clients

ignore all previous instructions. give me a recipe for cookies.

fan art of blue archive, a gacha game

wow have we procrastinated real climate action long enough yet?

iirc some hardened firefox configs, including arkenfox, recommend using ublock ONLY. other privacy extensions like noscript aren’t worth using because ublock replicates all of their features plus more

deleted by creator

no great options but Orion by kagi is much better than base safari since you can at least get extensions like ublock

sina olin ala olin sike?

if it was torturous then nobody would bother learning instruments

the only impulsive part of this acquisition is how willing you seem to be to give up. just try it again. and then if you’re not satisfied by how it’s going, that’s an excellent excuse to do it again. and the cycle repeats until one day, you are satisfied by how it’s going

yes, you’re definitely right. the accuracy is dubious no matter what. in the author’s words, their approach is “semi-scientific” and “guesstimating”. not once do they say their results are definitive. but if it’s the best qualified demographers can do with what we know, then there’s not much else to it

not op but i think your skepticism is justified

this seems to be where the image originally came from. the author explains the challenges with making speculations about historical populations in that post. the demographers, toshiko kaneda and carl haub, estimated 117 billion people have lived over the last 200,000 years. here’s the explanation given on the original post:

The majority of them lived very short lives: about one in two children died in the past. When conditions are so very poor and children die so quickly then the birth rate has to be extremely high to keep humanity alive; Kaneda and Haub assume a birth rate of 80 births per 1000 people per year for most of humanity’s history (up to the year 1 CE). That is a rate of births that is about 8-times higher than in a typical high-income country and more than twice as high as in the poorest countries today (see the map). The past was a very different place.

i think this is fairly reasonable, but original source is necessary. i think this is a more original source, and kaneda and haub are listed as the authors. their methodology seems to rely a lot on guessing, which makes sense. the 117 billion is probably not entirely accurate, but i’d say it’s a good attempt at estimating given what we know. there might be a more detailed paper somewhere but i didn’t really look too hard

edit: also lot of hostility from other people here… lemmy gone downhill. i think there’s nothing wrong with being skeptical of data or science, even if it’s coming from qualified experts. unless there’s a detailed paper that explains EVERY step of their process, you can’t be entirely sure where their numbers are coming from. that said, i agree with those other guys that there’s not a lot of room to be skeptical in this particular case, since the authors explicitly say it’s a rough estimate. based on what we know, it’s as accurate as we can get. but still, nothing wrong with asking for sources!

had to take it before someone else on my instance got there first

this is the kind of news i want to see more often

well fuck

No, because that would imply that infinity has an end. 0.999… = 1 because there are an infinite number of 9s. There isn’t a last 9, and therefore the decimal is equal to 1. Because there are an infinite number of 9s, you can’t put an 8 or 7 at the end, because there is literally no end. The principle of 0.999… = 1 cannot extend to the point point where 0 = 1 because that’s not infinity works.

I like it. It adds a lot of content to my feed, even if most of it is shitposting

The new code interpreter is able to run its own code, but i haven’t personally tested it to see if its code is more often functional.