Honestly, knowing how many people go fishing without ever managing to fish anything, they might as well just sit on the shoreline with a stick in their hands and no fishing line or hook.

That one turned out to be a pregnant lady!

No sé si diría que es reciente. La tarta de queso de La Viña lleva años ya siendo famosa. Es una receta moderna, pero no la llamaría reciente.

Amazon. You need a special voice/data plan for it, though.

I used a lot of words to explain it to you, because you didn't understand. Many other people didn't need the explanation. And your opinion seems to be the minority, seeing how most comments focus on the graph itself.

It's a good thing to do if you move to a new city. You find groups that organize activities around your favorite hobbies, then join those groups and meet tons of new people who share your interests.

I've done it every time I've moved to a new city and it's helped me a lot. Actually, that's how I met my partner and some of my best friends: when I moved to a new city, I joined a hiking club. Healthy people, who don't drink much and don't smoke, who like the outdoors and often photography too... it's also a great way to discover beautiful places!

I've also joined astronomy clubs. Great people, often really helpful towards novice amateurs. I've only ever had binoculars, 9x63 and such, but thanks to them I can use telescopes too, even if I don't own one.

Someday I'd like to join drawing/painting lessons, even if none of my friends are into it. And I would really, really like to join a choir, but my work schedule has been too irregular for that these last few years. Maybe someday!

When you join a karate club or a hiking club, you don't necessarily know anyone there. I'm not sure that's "through friends". But I understand that data must be categorized somehow, and "through friends" would fit better than the other options.

There's no "through shared hobbies" option? That's a great way to meet new people with shared interests.

You've certainly heard of the "law of diminishing returns"? It means that there's a point where you have to put a lot more effort to get only a little more profit out of something, so eventually it just stops being worth it and you stop trying to improve your process.

"Return" is what you get out of something. In this case, "returns to learning" means "what you get out of your efforts if you learn whatever amount of words".

Maybe it's not a familiar expression for you, but it's a concise way to convey that very specific idea.

Keep in mind that this subreddit is about data and their graphical representation. "Returns" are a familiar concept to many people here and to pretty much anybody who knows about data.

I don't think it's cryptic, u/ortgre.

Feel free to disregard this, but here it goes: I think it would be nice if rad days were as visually obvious as awful days. Rad and awful are exact opposites on this graph, but the awful red is brighter and more saturated than the rad green, making the awful much more noticeable than the rad.

Again, feel free to disregard.

It depends. For me it's a 28-day cycle, but others have a 30-day one, or a 25-day one, or nearly random cycles... maybe OP does have a monthly cycle, it does happen.