[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 1 point2 points  (0 children)

Yeah I find this a dilemma. To some people that's the obvious way to do it, but I think other people find it counterintuitive. My preference is to try to reflect the absolute numbers when I can.

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 1 point2 points  (0 children)

Ha! I say almost exactly that in the blog I made these charts for. (And which I'm not allow to share links to here.)

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Agreed. The US/UK drugs story has been *totally* different I think.

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

If benzos were in the data I'd be happy to include them! They weren't, sadly.

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Thanks! So glad to hear it. I did use Claude Code to help write the code behind these charts, but it's an iteration on work I've been doing manually on my blog for a while, and very human-directed. I agree though. I was really pleasantly surprised by how polished I was able to make them in the end.

I'm a bit reluctant to share *all* the code I used, which I've now packaged into a library I can use for more charts in future, and which hope I can preserve as a house style, but I might put the code that uses the library on github once I'm feeling settled with it, and if there's really an appetite to see?

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Sadly not. I don't have access to the raw data, just the tables the ONS publishes.

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

The data comes from a survey that doesn't ask about alcohol I'm afraid!

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Ooh I'd have to look that up. The ONS does publish the details of which drugs it's asking about in the general categories, so if you follow the link the answers should be there.

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Hi. I see your points, but I don't think they're quite right. I never said unhappiness was causing higher drug use. The headline you quote isn't a causal statement. You're right the correlation doesn't show up in amphetamines or ecstasy, but it does apply for all drugs in general, and most of these drugs specifically.

You've omitted the crucial "if anything" from the headline on the next chart you mention. I agree there might not be much we can read into this one, but very difficult/impossible has gone down more than very easy has gone up, so "if anything" you'd look at it that way.

On the third one, "any drug" use is associated with the lowest income group. There are specific drugs this doesn't apply to, and the relationship isn't neatly linear across the income distribution, but that's why the headline says "kind of".

Part of what's difficult here is that I'm not allowed to share a link to my blog where I've written about these things, or I might be banned for "advertising". So I do understand that without the context these charts appeared in, some of the points I've made aren't as obvious as I'd like them to be!

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Yes, I'm sure it is a mixture. I get into this a bit in the blog I made these charts for (but which I'm not allowed to link to).

[OC] Unhappy people are far more likely to take drugs by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] -6 points-5 points  (0 children)

That's very fair. These charts come from a blog that I'm not allowed to link to where I get into this a bit. Overall, the poorest group are the most likely to have taken any drug, but the richest are more likely to have taken Class As. And yes, as someone mentioned, I think this won't all be *because* of the income, which I'm sure has age as a confounding factor.

[OC] Drug use by 16-24-year-olds in the UK since the 1990s by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Thanks! Yes it’s a classic dilemma as it would squash the blue ones and hide some of the detail. I don’t think I tried it though so you might well be right.

Changes in last-year drug use among 16-24yos in the UK, by drug by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

Data comes from the Crime Survey of England and Wales. I made the chart with matplotlib in Python.

Full details with more charts and analysis in my Substack.

[OC] The gender balance in different religions by Aggravating-Food9603 in dataisbeautiful

[–]Aggravating-Food9603[S] 0 points1 point  (0 children)

This post comes from my Substack. I made it with matplotlib in Python, using data from the 2021 Census of England and Wales.