True, yeah. I just wanted to be clear about it in case people confused median and mean. I work with high school students who struggle with the difference every year. So, thought maybe some adults who’d been out of school for a while might also not realize the difference.
When talking about stuff like this, large diverse populations and a near continuous variables, a single measure of central tendency is not very informative whichever you choose. They necessarily misrepresent most of the population, quite a lot, just for the sake of what . . . brevity?
That seems lazy to me and makes me think the author doesn’t really care too much about the people they’re trying to describe.
At least pick a few points across the distribution, and a give a bit more time to understand or explain maybe like 5 or 6 “representatives” out of of however many millions are being summarised by the one statistic.
If the author can’t afford to draw a full fledged histogram - at least do a box-and-whiskers.
Median is (arguably) best if you want to give one value. Of course it’s better to give more, like first quartile, median, third quartile. But sometimes brevity is useful too
Brevity is okay if it doesn’t spawn comments like some I saw in the rest of this thread when i first read it, which I’m going to paraphrase rather than quote directly:
“we’re talking about everyone because it’s an average”
I dont know how to educate people use, interpret and critique statistics, but I know I’d rather the tweeters were even more brief and just pointed to a source that does a decent job of showing the data and give people a chance to learn numbers can be used summarising what’s happening to a population.
If they’re just quoting a few numbers to support their opinions they can fuck off for all I care - that’s not actually going to help people understand what’s going on - or how the data can help them do so. It just creates more hot air. And whatever they pick, there is a counter argument ususally everyone can find a cherry that sounds plausibly representative of far more than it actually is.
You’re right about everything, but the post explicitly talks about median for everything but healthcare, so it should be fairly accurate already
True, yeah. I just wanted to be clear about it in case people confused median and mean. I work with high school students who struggle with the difference every year. So, thought maybe some adults who’d been out of school for a while might also not realize the difference.
When talking about stuff like this, large diverse populations and a near continuous variables, a single measure of central tendency is not very informative whichever you choose. They necessarily misrepresent most of the population, quite a lot, just for the sake of what . . . brevity?
That seems lazy to me and makes me think the author doesn’t really care too much about the people they’re trying to describe.
At least pick a few points across the distribution, and a give a bit more time to understand or explain maybe like 5 or 6 “representatives” out of of however many millions are being summarised by the one statistic.
If the author can’t afford to draw a full fledged histogram - at least do a box-and-whiskers.
Maybe that twitter thing is just fucking awful.
Kind of feel like the box and whisker would look something like this, only worse.
Median is (arguably) best if you want to give one value. Of course it’s better to give more, like first quartile, median, third quartile. But sometimes brevity is useful too
Brevity is okay if it doesn’t spawn comments like some I saw in the rest of this thread when i first read it, which I’m going to paraphrase rather than quote directly: “we’re talking about everyone because it’s an average”
I dont know how to educate people use, interpret and critique statistics, but I know I’d rather the tweeters were even more brief and just pointed to a source that does a decent job of showing the data and give people a chance to learn numbers can be used summarising what’s happening to a population.
If they’re just quoting a few numbers to support their opinions they can fuck off for all I care - that’s not actually going to help people understand what’s going on - or how the data can help them do so. It just creates more hot air. And whatever they pick, there is a counter argument ususally everyone can find a cherry that sounds plausibly representative of far more than it actually is.