Yeah I saw the same thing in the shape of what was presented. The proportions are roughly the same in the visualization, it's just that most people had some or many adverse experiences. But what I see is that in my generation your home life didn't matter as much. I agree that we need to move as many kids as possible out of the "adverse experiences" category but I don't think this data supports that.
The last 20 years have been really really awful for everyone I went to school with.
> The proportions are roughly the same in the visualization
They're not, though? E.g., https://www.youtube.com/watch?v=fKv1Mixv0Hk&t=278s — note that the final bar is also shorter, so really you need to elongate it a bit in your mind (and compress the bar above it): the proportion of the "many adverse experiences" group is definite greater than the other two. (I wish they'd've just labelled the %'age on the screen, made the bar lengths equal — I have a lot of issues with the data visualization here, but none severe enough that they defeat the core point of the video.)
Edit: okay, I've counted the miniature people on this chart. For this specific example, they are: no adverse exp.: 7 aff, 109 total; some adversity: 16 aff, 239 total; many adverse exp.: 24 aff, 152 total. In percentages, that's "No adverse experiences" → 6.4% victims of crime, "Some adverse experiences" → 6.7% victims of crime, "Many adverse experiences" → 15.8%. The last group is more than double the other two. (The first two, in this example are equal; but the visualization also roughly shows that.)
I'm willing to bet poverty is really what is leading, everything else is a spurious correlation. If you're poor you probably live in a more dangerous area, are in a significantly worse situation to study, need money right now so need to get a job asap after school - or even during school, etc etc. I wish we could easily check this from the data.
The last 20 years have been really really awful for everyone I went to school with.