Recent comments in /f/dataisbeautiful

FahkDizchit t1_j76jim0 wrote

Is this where you’re getting the $2 billion figure?

“In its defence, the Clinton Foundation - which has raised more than $2bn from over 330,000 donors since its 2001 launch - points to its A rating from philanthropic monitors.”

If so, that doesn’t say what you think it does.

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imregrettingthis t1_j76icny wrote

Wow. Instead of just saying. “Yea I was wrong”. You are now completely moving the goal post.

Is it relevant. Yes.

Now you’re talking about whether we should rely on tax data?

I guess you’re showing us how you were wrong in a very round about way. Thanks I guess?

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tipjarman t1_j76d719 wrote

Trying to interpret this. So column 1 is telling me that (for instance) that 18.3% of taxpaying men make between $50k - $75k right? And 14.1% of taxpaying woman.

Then the second column is wage distribution. So that same row ( $50k - $75k ) has wage distribution for woman at 21.1% and men at 17.6.

Whats the best way to understand this?

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Psi_in_PA OP t1_j75zzif wrote

Data from the Center for Disease Control’s Wide-ranging Online Data for Epidemiologic Research (WONDER) and the Drug Enforcement Administration’s Automated Reports and Consolidated Orders System (ARCOS) with figure by GraphPad Prism 9.4.

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felipec t1_j75xd9x wrote

> what about every other country?

I don't know about other countries, but it's not like every country is inventing statistics from scratch. International organizations do create guidelines for how income surveys should be conducted precisely because it's very easy to miss something otherwise.

Here's a handbook from the United Nations Economic Commission for Europe (UNECE) with 208 pages explaining how income statistics should be gathered and why: Canberra Group Handbook on Household Income Statistics, 2nd edition.

Not all countries follow every one of the recommendations, but it's not like no one has thought of informal employment ever. Everyone in the field already knows tax data cannot be relied for income statistics.

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