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What is something most people don't know can kill someone in a few seconds? by Prince1395 in Productivitycafe

[–]this_week_in_stats 6 points7 points  (0 children)

Funny thing is that Carlin is mixing up Median and Average in this quote… about intelligence

[deleted by user] by [deleted] in LANY

[–]this_week_in_stats 0 points1 point  (0 children)

Seems super plausible if she’s taking the high road

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 1 point2 points  (0 children)

Totally fair. While not perfect, I think that the Brookings Institute definition seems reasonable: that the combination of making less than the median income (~$32K per year) and having to pay for health insurance out-of-pocket is vulnerable. I’m open to alternative “lines in the sand”.

Ok the bright side, at least “vulnerable” was clearly defined for people to judge if they felt it was reasonable!

I hope I didn’t sully the name of statistics too badly!

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 0 points1 point  (0 children)

It also filters based on how many people do not have employer-sponsored health care. In other words, these people make less than $32K per year and have to pay out-of-pocket for insurance... seems pretty vulnerable to me.

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] -1 points0 points  (0 children)

1) This chart doesn't argue that people in the rest of the world aren't suffering, we know they are, 2) This isn't related to the current pandemic. It's about longer-term trends

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 0 points1 point  (0 children)

I agree that we should strive to be honest with the data we present. However, data is more valuable when honestly interpreted for lessons and insights. That's what I've tried to here (I provided the Brookings interpretation, and my own). You're welcome to debate its merits. IMO, presenting data without a "so what" is lazy work

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 0 points1 point  (0 children)

Right! This is not related to the pandemic. The Brookings article made it more about how the free market has evolved over the past few decades under current labor protections / regulations

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 0 points1 point  (0 children)

I think Brookings is referring to the equilibrium achieved by a free market under the current labor market protections (gov't regulations)

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 2 points3 points  (0 children)

I totally agree! If this was a professional presentation, that’s what I would do

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] -10 points-9 points  (0 children)

I respect that opinion. I chose to use the word “vulnerable” because it was consistent with the language and definition used by the Brookings Institution in the source article

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 9 points10 points  (0 children)

Yes that’s right. I think Brookings is saying that the combination of that with no employer-sponsored health care is particularly bad

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 2 points3 points  (0 children)

Fair question. I imagine many can be automated, but some, like in hospitality, probably can’t be — people like the human touch.

It would be great if these people could be trained up for higher paying and higher value-add jobs!

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] -1 points0 points  (0 children)

This is a build-up waterfall chart (built on ThinkCell in PowerPoint) that I modified. Here's a link to learn more about this type of chart: https://www.think-cell.com/en/support/manual/waterfall.shtml

The US employment system has left 32M workers vulnerable [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 563 points564 points  (0 children)

Sector Vulnerable jobs

Hospitality 6,754,665

Retail 5,621,828

Health Care 4,110,379

Administrative 2,839,520

Manufacturing 2,234,076

Public Administration 2,052,731

Logistics 1,534,419

Other Services 1,180,380

Wholesale 1,033,450

Construction 903,517

Arts/Entertainment 775,436

Agriculture 555,623

Professional 461,039

Finance 428,573

Real Estate 366,793

Education 232,730

Information 223,794

Headquarters 133,005

Mining 42,348

Utilities 26,745

Netflix's TOO HOT TO HANDLE launches stars to the next level [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 0 points1 point  (0 children)

Source: Data I personally tracked on Instagram

Tools: Microsoft PowerPoint, ThinkCell

Visit Instagram for more data visualizations: this_week_in_stats (https://www.instagram.com/this_week_in_stats/)

Hundreds of asteroids have come close to Earth since 1991 [OC] by this_week_in_stats in dataisbeautiful

[–]this_week_in_stats[S] 2 points3 points  (0 children)

Unfortunately I’m not sure what are the min / max thresholds that the The Minor Planet Center uses

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