What's the worst that could happen
(files.catbox.moe)
You're viewing a single comment thread. View all comments, or full comment thread.
Comments (27)
sorted by:
Is it so hard to provide context for numbers?
What's it? Musrders per year? Per montth? Per week? Per 10k? Or may be per 1M
Who is the victims? Is it regular citizens who suffer from crime or may be it is unhinged gangs start to kill each other?
Numbers and plots without units and context are mostly useless, even if it is number of murders. Enough to provoke "feelings" for whatever reason, but not enough for something thoughtful.
The most disturbing thing is that during coronahoax we was fed a lot with same numbers and plots without units and context. After that, at least here, on that forum, people should perfectly know importance of units and context. But somehow I still see exactly same thing like I saw about coronahoax, just about some other thing.
How fuck is that?
Sequence of years on the x-axis suggests each data point is a total of known murders to happen in that year. This is corroborated by the black line that marks an average of 23 deaths per year from 2000 to 2019.
Label at the top of the graph indicates the victims should be classified as residents of Portland (probably both legal and criminal). It's possible that the numbers could be inflated by guesswork about the number of residents in '22 and '23, but without a source it's impossible to say for certain.
I understand your confusion. Often times data is intentionally presented in a way that makes it difficult to interpret meaningfully, and it takes considerable effort to train oneself to put it together coherently.
So it is absolute number of murders per year for the whole town with around half-million inhabitants. That's something, thank you.
Questions remains about victims categories and Portland area (and so accounted population) changes.
Then, if categories and town area didn't change since 2019, then that's definitely sign of some severe shit happening in Portland.
Looks like some culture in presenting and spreading data is lost completely. That's sad, really.