Recent comments in /f/dataisbeautiful

carshooter106 t1_j844y8q wrote

Wrong, barely anything gets planted in deforested Amazon. Sugar in particular is planted in the south east region.

The biggest causes of deforestation are logging (so you get partial marks), and cattle ranching, and mining. All of that with a lot of support from 1st world companies

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MidnightPale3220 t1_j840x9w wrote

Unfortunately it is not as simple as that. Russia has trouble with replacement officer count, especially since it drafted a huge number of conscripts in a very short time, for which they have mostly provided minimal training. To me the increase in ratio actually corresponds to what I would expect when reading about situation on front lines.

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rivermamma t1_j84095w wrote

I remember the aftershocks were the worst after the Loma Prieta Earthquake. The ground would not stop shaking. Very emotional and scary. I remember crying out one night to the earth to just stop. Can’t imagine what these folks are going through with an even stronger earthquake.

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kintsugionmymind t1_j83zgg3 wrote

It's almost the case, but it's not. I read the whole thing. Clicked There are dozens of differentiators, with gender differences across nearly all of them. So yes, women tend to prefer taller partners and men tend to prefer shorter.

But when women were asked to talk about what they meant by "expectations" height wasn't highlighted. Nor was wealth, nor any of that bullshit. Again, because I guess you didn't get it before, and because we're being condescending to each other:

Women more than men report having a greater number of potential deal breakers when it comes to dating. They are also more likely to report having difficulty finding someone who meets their expectations. But for many young women, dating expectations refer less to a laundry list of must-have qualities and more to basic standards of how they wish to be treated.[8]

It's not about height, or fitness, or symmetry, or money. Or maybe it is, if you're a shitty person with nothing else to offer. If you listen to what women are saying, it's that they want to be treated to a higher standard of respect. That's the lack of measuring up that matters, not being 6ft+

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6548996 t1_j83wd8n wrote

I see what you’re saying - but it doesn’t really show anything beyond a quite vague correlation at best. OP furthermore states that the ratio has increased from 30:1 to an estimated 70:1 , which could hint at Ukraine exaggerating the casualties if you’d assume a linear correlation.

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MidnightPale3220 t1_j83vmph wrote

I agree about presentation, but as regards obviousness of correlation, in war, it is a tendency for sides involved to inflate other side's losses.

So a correlation between what Ukrainian officials say, and some other independent source is actually a good sign of trustworthiness of that conflict side's data, which is not necessarily true for a country in war.

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Team_Ed t1_j83tfmn wrote

Since magnitude is a logarithmic scale, showing it on a linear scale is rather misleading.

The 7.8 and 7.5 quakes were ~10x as intense in amplitude as the next highest and ~1000x as intense as all the 4s.

(If we’re talking size in energy released, the difference between 7.5 and 6.5 is 32x — meaning the 7.8 and 7.5 quakes were more energetic than all the others combined.)

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Tamer_ OP t1_j83rr7x wrote

The dashboard linked is produced by @ragnarbjartur, but I'm the one who collected the officers's date of death.

Here's a visualization for the first 7 months.

It takes at least 5 months to get 90%+ of the data for a particular time period, by my estimate.

The troops:officer killed ratio was approximately 30:1 during the first month of the invasion and about 50:1 during the 6-7 months that followed. I'm also using known publication date of officer death that's not showing in the dashboard to make those estimates. I suspect the ratio increased to ~70:1 or perhaps even higher after the Kherson evacuation.

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kintsugionmymind t1_j83ohy4 wrote

Yeah that's not what they're saying. Women are less likely to settle for someone who treats them shitty. It's not about making a certain amount of money, or being a certain height - it's about treating your partner with respect.

If what any of these women are asking for seems hugely unrealistic to you, that's a YOU problem.

FTA:

But for many young women, dating expectations refer less to a laundry list of must-have qualities and more to basic standards of how they wish to be treated.[8]

One 19-year-old women says that she’s looking for mutual respect in a relationship and someone who approaches issues with an open mind.

I don’t want to be in a relationship where somebody’s not open-minded about things that I want to do. Like if they have their point of view on something and I have a different point of view, I would like to have like a conversation about it. Another young woman, a 22-year-old college student, echoes this sentiment. For her, feeling respected and being with someone who is kind and considerate is paramount.

Pretty much my biggest thing is respect. . . . If we’re in a relationship, you shouldn’t have any dating apps on your phone at all. Like, I don’t care if we met on one or anything like that. We are in a relationship. I don’t need you going and looking at what’s on the market. She says she is mostly looking for affirmation that her partner is invested in their relationship.

We ask for simple things, you know, remembering things that we talked about in conversations. You know, flowers occasionally. Date nights. Every once in a while, just to have that reassurance that our relationship is worthwhile and feeling like we can spend really great quality time together and share special moments.

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tree-of-thought OP t1_j83o1yz wrote

I asked chat gpt for brief descriptions of various super bowls to help me remember how they played out so i could assess the ranking as I was building it. I also experimented with asking it broadly and non quantitatively “was this super bowl exciting?” “was that one?” to see if it was directionally agreeing with my scoring.

I did not go so far as to try and involve chat gpt directly in computing the score. How might that work? Simply ask it “please give a 1-10 score to the excitement level of recent super bowls”?

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tree-of-thought OP t1_j83nhkt wrote

You’re right the labels are not very accessible to people without quite a bit of NFL domain knowledge. I had a hard time getting relevant info into them without them getting too long or taking too much real estate in the overall viz…but of course there should be a key. Thanks for the feedback!

nflfastr provides the win probabilities. the calculate win probability function docs have more info!

Thank you again for the comment!

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