The most surprising graph I’ve seen about wealth distribution by generation, particularly in comparison to the actual distribution, is the following one:https://twitter.com/justin_hart/status/1199805436758646784 …
You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
The most surprising graph I’ve seen about wealth distribution by generation, particularly in comparison to the actual distribution, is the following one:https://twitter.com/justin_hart/status/1199805436758646784 …
The super brief and oversimplified version of which is “Millennials’ biggest *unique* problem is that they’ve got a lot less housing wealth than previous generations did due to high buy-ins, but their biggest problem on an absolute scale is simply being young.”
I'm not sure I understand why people want to confound things with variables like share of population, except to generate false patterns. Why not just graph per capita numbers? (I have seen a couple population-confounded things this week, not sure why...)
This is also just a really bad graph in general. If you wanted to gain intuition about this dataset, this is not how you would look at it.
Time frame cherry-picked so that we can't compare the full life cycles.
Yah - and wealth should also be compared to headcount to be further understandable.
It is not just housing, but all asset prices (which are counted in "wealth") that have inflated.. primarily driven by the Fed policies over last 2 decades. These are owned by the richer (and older) peoplepic.twitter.com/L2m2QWcnMd
Why 2 decades? What did Fed do wrong pre 2007?
Could be interesting, *or* it could just be that the plot tracks different generations between different ages (e.g., Boomers start at 34, at which point GenX has almost reached their turn, vs Millenials only go up to 29.) It's consistent with every gen being roughly the same.
it's also hard to interpret because the different groups have different numbers of people in them. e.g. it looks like Gen X at 45 is well behind where the Boomers were at 45 but there are more Boomers than Gen Xers so
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.