There can be multiple groups of many people in a population. It doesn’t have to be a majority to be significant.
There can be multiple groups of many people in a population. It doesn’t have to be a majority to be significant.
25% of 150 million is a pretty large number of people. “Many” is vague enough that you shouldn’t be calling anyone dumb over it.
It’s not a graph of population over time.
Gaming in Linux on a windows VM isn’t viable for most systems. Most games run really well through proton with little to no effort. Some even run better on Linux than on windows. You just can’t play a lot of the most popular competitive online games because it flags their anti cheat.
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That’s a misleading headline. Makes it sound like 70% of young people use cannabis. The figure is that of people who were charged with cannabis related crimes, 70% were in their 20s. About 1.8% of their population had ever used cannabis in 2019.
Pretty sure they’re saying Apple works for the feds. They might also be having a stroke. Idk.
True but trust is hard to establish in decentralized platforms like the fediverse. As far as I’m aware the only decentralized banking is unfortunately cryptocurrency.
Isn’t that what NFTs do?
Mid journey and the like have already been caught creating shutterstock watermarks in images. Future models might be able to fake specific watermarks well.
I slightly hate myself for suggesting it, but are you essentially describing NFTs?
AC6 supports ultra wide and 120hz frame rates on pc. I didn’t see any stutters or notable issues in my playthrough. I’m hopeful that from soft’s next releases will have fine pc support.
Distributions like this are common in the natural world. Randomness and probability get weird. The phenomenon can often be explained by Zipf’s law.
I too can produce vaguely plausible fake data sets. Why’s everyone get so worried when some software can do it?
Checks out for me. Love me some arch and love my pour over coffee maker. Use both everyday btw.
I’m absolutely biased as a data engineer who loves SQL, but there are some good reasons why SQL has been the de facto standard for interacting with databases since the 80s.
One of its draws is that it’s easy to understand. I can show a stakeholder that I’m selecting “sum(sale_amount) from transactions where date=yesterday” and they understand it. Many analysts are even able to write complicated queries when they don’t know anything else about programming.
Since it’s declarative, you rarely have to think about all the underlying fuckery that lets you query something like terabytes of data in redshift in minutes.
Debugging is often pretty nice too. I can take some query that didn’t do what it was supposed to and run it over and over in a console until the output is right.
There are 2 different physical sensations for tasting salt. One for low salt that tastes good and one for high salt that tastes bad. This is believed to help regulate salt intake.
https://knowablemagazine.org/article/food-environment/2023/salt-taste-surprisingly-mysterious
It certainly can be that bad.
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpriseEdition