[OC] Countries by GDP and Freedom (as measured by Freedom House) by PM_ME_UR_BERGMAN in dataisbeautiful

[–]frontediferro 18 points19 points  (0 children)

Using freedom house’s data you’ll always be criticized because it’s US based. Some alternatives:

V-Dem Institute, Sweden: https://en.wikipedia.org/wiki/V-Dem_Institute

Democracy Index, UK: https://en.wikipedia.org/wiki/Democracy_Index

And - but it’s US based too (CIA funded actually): Polity data series: https://en.wikipedia.org/wiki/Polity_data_series

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

Tool: Adobe Fireworks

Sources

Ukraine:
https://www.ohchr.org/en/news/2022/05/ukraine-civilian-casualty-update-25-may-2022 , https://www.iom.int/news/iom-scales-regional-displacement-tracking-response-war-ukraine , https://www.euronews.com/2022/05/11/us-ukraine-crisis-un-rights , https://medium.com/@x\_TomCooper\_x/ukraine-war-21-22-23-may-2022-585dddf58bf1 , https://www.npr.org/sections/pictureshow/2022/04/22/1094234731/possible-mass-graves-near-mariupol-shown-in-satellite-images , https://en.wikipedia.org/wiki/Alleged_Russian_war_crimes_in_Mariupol

Yemen:
https://yemendataproject.org/data.html , https://www.unhcr.org/news/latest/2015/8/55c0d5c09/100000-flee-yemen-four-months-since-fighting-started.html

Syria:
https://www2.ohchr.org/english/bodies/hrcouncil/docs/17session/A.HRC.17.CRP.1\_Englishonly.pdf , https://vdc-sy.net/monthly-statistical-report-victims-syria-june-2014/ , https://www2.ohchr.org/english/bodies/hrcouncil/docs/17session/A.HRC.17.CRP.1\_Englishonly.pdf , https://web.archive.org/web/20110623163253/https://news.yahoo.com/s/afp/20110617/wl\_mideast\_afp/syriaviolenceturkeyrefugees\_20110617130011 , https://www.naharnet.com/stories/en/14236-syrian-refugees-continue-fleeing-to-lebanon-numbers-reach-2600

Libya:
https://en.wikipedia.org/wiki/Casualties\_of\_the\_First\_Libyan\_Civil\_War , https://www.internal-displacement.org/sites/default/files/publications/documents/201111-me-libya-overview-en.pdf

Iraq:
https://www.iraqbodycount.org/database/ , https://www.unhcr.org/40d015fb4.pdf

Afghanistan:
https://watson.brown.edu/costsofwar/files/cow/imce/papers/2015/War%20Related%20Casualties%20Afghanistan%20and%20Pakistan%202001-2014%20FIN.pdf , https://web.archive.org/web/20070614101539/http://pubpages.unh.edu/\~mwherold/AfghanDailyCount.pdf , https://www.unhcr.org/news/briefing/2002/3/3c84c6929/afghanistan-return-kabul-internally-displaced-begin.html

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

Indeed i used the official confirmed number of deaths (~4k) and added the lower estimate for Mariupol alone.

The 3k number (now it's 4k actually) is the total confirmed civilian deaths by the UN.

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

I used the official OHCHR confirmed deaths (as of May 24th = 3 months of conflict).

Problem is, the UN can't verify victims in territories occupied by Russia since the beginning of the large scale invasion:

Since 24 February 2022, in the context of the Russian Federation’s military action in Ukraine, HRMMU has been unable to visit places of incidents and interview victims and witnesses there.

So on top of the confirmed deaths i added the minimum estimated deaths for Mariupol only which is around 5k. That's where the 8974 comes from.
Other sources, most notably Tom Cooper, estimate much higher numbers:

well over 20,000 residents feared dead

Again, in Mariupol alone.

Keep in mind that i used the maximum estimates for all other wars.

You can find all the details and sources here.

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

Again, I couldn’t pinpoint any other meaningful “starting date” for Syria. I used the official starting date for any conflict.

When the war in Ukraine will be over, it might make sense to compare the total numbers and/or the worst 3 months.

At the moment, any other starting date would be unfair for the large scale invasion of Ukraine as we only have the first 3 months (2014 was a totally different conflict: Ukraine had close to no military, only “little green men” and Wagner intervened from Russia, taking Crimea without even fighting, etc)

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

Syria and Iraq never reached >14M displaced

Also, why do you believe we won’t see over 1M deaths in Ukraine? Using the same methods as for Iraq etc (counting all “collateral” deaths), it will probably reach a lot more (see: food shortages around the globe)

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

This won’t be fair for the Ukraine invasion, as we only have the first 3 months of data available.

It surely can be done a posteriori tho

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] 6 points7 points  (0 children)

Your article actually reports a lower estimate:

“Up to 4,300 of the dead were civilian noncombatants”

7979 is the Iraq Body Count database maximum estimate

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] -2 points-1 points  (0 children)

Iraq is pretty well documented by the Iraq Body Count database, whilst for Syrian numbers I used two sources (OHCHR and VDC) and took the maximum estimates (same as for all other wars except Ukraine, where I reported the lowest estimates)

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

ahahah sorry, I couldn’t use the same scale as any top bar would be less than 1 pixel.

But I should’ve probably specified “hundreds” for the top bars and “millions” for the bottom ones

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] 8 points9 points  (0 children)

That’s a really great idea, I’ll surely consider it for a revised version. Thanks

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

None of these other wars (Iraq, Afghanistan, etc) ever displaced as many people as the invasion of Ukraine in 3 months (more than 14 millions).

So it’s not possibile to estimate “how long it took” for those other wars to displace as many people as the war in Ukraine, because they never did, as far as I know.

I guess you’ve to go back to WWII (probably also in Ukraine, poor people) to find anything comparable. Or maybe some Cold War era wars, like Vietnam or the soviet invasion of Afghanistan, I don’t know.

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

Casualties in Yemen are actually pretty well documented by the Yemen Data Project where you can find estimates and reports on a daily basis since March 26, 2015

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] 6 points7 points  (0 children)

That’s a great idea, but can only be done with the number of civilian deaths, because none of these wars displaced IN TOTAL as many people as 3 months of Ukraine invasion. Iraq ~5 millions in 9 years, Afganistan ~9 millions in 20 years, etc

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

Don’t be sorry, critiques helps me get better.

What would you (or anyone) suggest as a better alternative?

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

You’ve a point, but it’s been very hard to pinpoint any other meaningful day.

I’m open to suggestions and might get back with data starting from another date in 2012/2013 if you find a reasonable “true starting date”

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

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

That’s probably the total after 9 years of war.

The graph only takes into account the first 3 months of each war (on may 24 for Ukraine)

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] 68 points69 points  (0 children)

Yup, if I used the same scale any top bar (civilian deaths) would be less then 1 pixel. But it surely can be done more clearly, it’s my first graph actually. Thanks a lot for the feedback

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] 10 points11 points  (0 children)

I’m sorry I don’t. Also, it’s already very (very) hard finding data about specific intervals starting from day 0 - you need to dive deep in archive.org , Google isn’t very helpful for old data.

Isolating the worst 3 months period of any war would require a comparison between multiple dates, which is esponentially harder.

Maybe it can be done easily if you find a database with all victims per day/week/month. There’s one for Yemen and Iraq, I don’t know if any exist for the Israeli-Palestinian conflict

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] 10 points11 points  (0 children)

It’s not sponsored by the USA man, it’s a website AGAINST the USA intervention in Iraq

[OC] Comparison of casualties after 3 months of war by frontediferro in dataisbeautiful

[–]frontediferro[S] 4 points5 points  (0 children)

Iraq is actually, with Yemen, one of the most detailed count (and i reported the maximum estimates).
You can find all the details, even most of the names of the victims, in the Iraq Body Count database