djleni

Has someone compiled a dataset of users that appear to be shadowbanned, that tweet political content at least some of the time, as well as the political lean they have?

An example of is word not being worth much.

I use far more than just vision driving:

- sound, for emergency vehicles, detecting vehicles outside of my field of view if my windows are down or the vehicle is loud, tire sound (especially in snow and rain), engine sound (more feedback in snow or ice about what my tires are doing)

- touch (steering feedback, gives information about grip in some circumstances)

- acceleration (can feel if the rear tires break loose in a turn on snow or ice, or if I’m sliding while breaking)

And probably many more

Say you can confirm a sample is 100% a certain person. How do investigators have any idea how it got there? How do you know it’s from a criminal and not the guy that stocked the convenience store shelves?

I tried to look into this and maybe I was searching the wrong thing but found nothing.

But my point isn’t that, it’s that for an average person eating average calories it’s not difficult by any means to get enough protein.

To be fair though, plant based protein powder is about 700 calories for 150g of protein too :)

A wheat bread PB&J hits about 23G of protein with 4TBSP of peanut butter.

White rice and tofu, the most boring meal I can think of already gets you to 14g or so.

Hitting 150g of protein is really difficult and arguably a gross way to eat if you’re just eating meat anyways. That’s over TWO POUNDS of ground beef.

But regardless, not hard to hit with legumes and soy and nuts and meat replacements like Impossible.

Where are you getting this? Impossible’s nutrition facts state < 1g per serving.

Why do you believe this is the case? It really isn’t.

What do you consider “adequate” protein consumption?

From a skim of the README it seems like install the package, and then find some training dataset, and then ??? to use it.

Silly genre generator