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File: 1785815210511z.png 📥︎ (2.47 MB, 4096x3263) ImgOps

 â„–3895846[Quote]

Black American kids are academically better than Argentines, Arabs, and several white countries

 â„–3895854[Quote]

This wh*Tes in other countries are dumb as bricks

 â„–3895858[Quote]

albaniabros…

 â„–3895870[Quote]

But yes a canadian is more likely to be more clever than an american subhuman

 â„–3895872[Quote]

>U.S.Asians are highest

 â„–3895880[Quote]

File: 19.gif 📥︎ (6.13 KB, 220x220) ImgOps

gooning to anime and collecting passive income is objectively more intelligent than scoring high on IQ tests

 â„–3895882[Quote]

the whitest country below black AMERICANS is fucking mexico

 â„–3895885[Quote]

>>3895882
theres bulgaria, romania, north macedonia, albania, kosovo

 â„–3895888[Quote]

>>3895885
all non white doe

 â„–3895890[Quote]

>>3895885
Is Mexico whiter than the balkans?

 â„–3895894[Quote]

>>3895885
i know what i said

 â„–3895903[Quote]

File: IMG_1661.jpeg 📥︎ (161 KB, 1434x1274) ImgOps

So does that mean that whites and east asians VVON?

 â„–3895911[Quote]

>>3895894
>>3895890
>>3895888
Definition of white race = Yamnaya + ANF + WHG > 95%
all 5 of those countries are white

 â„–3895914[Quote]

>>3895911
bulgaria are turkish
romania are gypsy
north macedonia are monkey
albania are monkey
kosov are monkey
fact

 â„–3895918[Quote]

>>3895914
But da science says we wuz all monkey n shieet

 â„–3895922[Quote]

>>3895914
You are fucking portuguese

 â„–3895925[Quote]

>>3895903
Yellow reich and the greater nazi empire are allies

 â„–3895929[Quote]

File: ClipboardImage.png 📥︎ (369.81 KB, 860x572) ImgOps

File: ClipboardImage.png 📥︎ (876.92 KB, 860x1075) ImgOps

>>3895918
>bulgaria
<portugal (aryan)

 â„–3895931[Quote]

>>3895911
i am the only whitey left.

 â„–3895933[Quote]

>>3895922
you are mongolian bro

 â„–3895938[Quote]

>>3895933
I have more yamnaya than you hows it feel bud

 â„–3895940[Quote]

>>3895938
i have more yam yam om nom doe

 â„–3895942[Quote]

>>3895929
kek

 â„–3895966[Quote]

>>3895846 (OP)
Can you explained how this data was gathered and what exactly does it measure?
I could see blacks being so high due to them living in black areas where maybe the schools are more lenient on grading.

 â„–3895971[Quote]

>>3895966
the source is in the image lil bro

 â„–3895977[Quote]

>>3895971
im not gonna find the specific study and read the entirety of it, op should explain since he posted the infographic

 â„–3895980[Quote]

>>3895977
nobody is going to give you shit dumbass nigger, find the study yourself if you care about this so much

 â„–3895986[Quote]

>>3895980
hey, im not a dumbass nigger, quit being so vulgar im trying to have a civil conversation here

 â„–3895987[Quote]

>>3895986
nigger nigger nigger

 â„–3895990[Quote]

>>3895966
Happy to walk through both.

How PISA data is gathered

PISA (Programme for International Student Assessment) is run by the OECD every three years. Within each participating country or economy, a stratified random sample of schools is selected, and then 15-year-old students within those schools are randomly sampled to sit the test. It's not self-selected or opt-in by the students - sampling is designed to be nationally representative. Students sit standardized reading, math, and science assessments (computer-based since 2015), and the tests are centrally scored using fixed rubrics and, for constructed-response items, trained scorers following an OECD-set marking guide - not by the students' own classroom teachers. That's an important detail for your grading-leniency theory below.

What "without 1st- and 2nd-generation immigrants" means

This chart filters out students who were themselves born abroad (1st generation) or whose parents were both born abroad (2nd generation), leaving only students with at least one native-born parent. The idea is to compare "native" populations across countries without immigration status muddying the comparison - e.g., stripping out the effect of recent-arrival students who may have language barriers or interrupted schooling.

How the U.S. subgroups (Asians, Whites, Blacks, Hispanics, etc.) are derived

The U.S. PISA sample includes a race/ethnicity variable (self-reported by students or drawn from school records, similar to how NAEP collects it), so researchers can slice the U.S. national sample by racial/ethnic subgroup after applying the same immigrant-generation filter. This isn't a special extra test - it's the same PISA assessment, just broken out by subgroup within the U.S. data.

On the grading-leniency idea

Worth flagging: this mechanism doesn't really apply here. PISA isn't graded by local schools or teachers at all - it's externally administered and centrally scored by OECD-trained assessors using the same rubric worldwide, so a school being "lenient" wouldn't move a student's PISA score.

One more thing - the chart doesn't show what you described

Looking at the actual bar order, U.S. Blacks lands quite low relative to the other listed groups: below the overall United States average, below U.S. Hispanics, below U.S. Two-or-More-Races, and below dozens of European and Asian countries - sitting near Ukraine and Brunei Darussalam, roughly in the 460s. So rather than being "so high," it's actually one of the lower-scoring groups on this particular chart.

As for *why* gaps like these show up between demographic groups generally, researchers point to a mix of factors - school funding and resource disparities, family income and wealth, parental education, neighborhood effects, and access to test prep or supplemental instruction, among others. It's a heavily studied and genuinely contested area of social science, and I'd steer away from any single mono-causal explanation (including "lenient grading," which the PISA methodology rules out anyway).

 â„–3895991[Quote]

>>3895987
alright thats it, im adding a filter to your flag

 â„–3895994[Quote]

>>3895991
like i give a shit

 â„–3896027[Quote]

>>3895990
blud didnt even change gpt's formatting
anyways its probably le heckin socioeconomic status but only for whites because blacks get 6 million dollar welfare per person or something like that

 â„–3896030[Quote]

>>3896027
"Worth flagging: this mechanism doesn't really apply here. PISA isn't graded by local schools or teachers at all - it's externally administered and centrally scored by OECD-trained assessors using the same rubric worldwide, so a school being "lenient" wouldn't move a student's PISA score."

 â„–3896038[Quote]

>>3896030
i know, why did you post it again award?

 â„–3896044[Quote]

>>3896038
Because your mayopig cracker brain is too dumb to read it

 â„–3896045[Quote]

>>3895846 (OP)
Ma country isn't here so idc

 â„–3896052[Quote]

>>3896044
i read it though, can you ask gpt for a list similar to the original image, where its sorted by countries and ethnicities, except with how poor they are or sum like dat

 â„–3896066[Quote]

>>3896052
Here's the same list sorted by nominal GDP per capita (IMF, most recent projections/estimates in current US$). A few notes: figures are national averages, not adjusted for cost of living (PPP would shuffle some rankings, especially for Gulf states and emerging economies); Kosovo's figure comes from a slightly different estimate since IMF/Worldometer didn't have a clean current entry; and the five U.S. racial/ethnic subgroups don't have their own official GDP per capita (GDP isn't tracked by race) - I've listed them together at the overall U.S. figure with an asterisk so you can see where "America" as a whole sits, but treat those five rows as one bloc rather than independently ranked.

| Rank | Country / Group | GDP per capita (nominal, US$) |
|-|-|—|
| 1 | Ireland | 131,592 |
| 2 | Switzerland | 114,769 |
| 3 | Singapore | 98,814 |
| 4 | Iceland | 98,323 |
| 5 | Norway | 94,594 |
| 6 | United States | 90,027 |
| 6* | U.S. Asians | ~90,027* |
| 6* | U.S. Whites | ~90,027* |
| 6* | U.S. Two or More Races | ~90,027* |
| 6* | U.S. Hispanics | ~90,027* |
| 6* | U.S. Blacks | ~90,027* |
| 7 | Denmark | 76,970 |
| 8 | Macao | 75,902 |
| 9 | Netherlands | 73,684 |
| 10 | Qatar | 72,525 |
| 11 | Australia | 65,130 |
| 12 | Sweden | 63,133 |
| 13 | Austria | 62,930 |
| 14 | Belgium | 60,750 |
| 15 | Germany | 60,496 |
| 16 | Israel | 60,337 |
| 17 | United Kingdom | 57,602 |
| 18 | Hong Kong | 56,983 |
| 19 | Finland | 56,149 |
| 20 | Canada | 55,698 |
| 21 | United Arab Emirates | 50,232 |
| 22 | New Zealand | 49,591 |
| 23 | France | 48,986 |
| 24 | Malta | 47,907 |
| 25 | Italy | 43,309 |
| 26 | Cyprus | 41,783 |
| 27 | Taiwan | 39,489 |
| 28 | Spain | 38,627 |
| 29 | Slovenia | 37,376 |
| 30 | Korea | 36,227 |
| 31 | Japan | 35,951 |
| 32 | Czechia | 35,917 |
| 33 | Saudi Arabia | 34,537 |
| 34 | Estonia | 34,418 |
| 35 | Lithuania | 32,959 |
| 36 | Brunei Darussalam | 32,235 |
| 37 | Portugal | 32,082 |
| 38 | Slovakia | 28,544 |
| 39 | Poland | 28,420 |
| 40 | Croatia | 27,104 |
| 41 | Greece | 26,948 |
| 42 | Latvia | 26,312 |
| 43 | Hungary | 25,907 |
| 44 | Uruguay | 25,216 |
| 45 | Romania | 22,538 |
| 46 | Bulgaria | 20,328 |
| 47 | Costa Rica | 19,970 |
| 48 | Panama | 19,790 |
| 49 | Turkey | 18,599 |
| 50 | Chile | 17,995 |
| 51 | Serbia | 15,262 |
| 52 | Argentina | 14,898 |
| 53 | Montenegro | 14,817 |
| 54 | Kazakhstan | 14,692 |
| 55 | Mexico | 13,889 |
| 56 | Malaysia | 13,125 |
| 57 | Albania | 12,998 |
| 58 | Dominican Republic | 11,059 |
| 59 | Brazil | 10,713 |
| 60 | North Macedonia | 10,490 |
| 61 | Georgia | 9,692 |
| 62 | Peru | 9,684 |
| 63 | Kosovo | ~8,970 |
| 64 | Moldova | 8,622 |
| 65 | Colombia | 8,562 |
| 66 | Thailand | 8,057 |
| 67 | Jamaica | 8,003 |
| 68 | Azerbaijan | 7,411 |
| 69 | Mongolia | 7,108 |
| 70 | Paraguay | 7,027 |
| 71 | Guatemala | 6,598 |
| 72 | Ukraine | 5,866 |
| 73 | El Salvador | 5,767 |
| 74 | Jordan | 5,348 |
| 75 | Vietnam | 5,066 |
| 76 | Indonesia | 5,060 |
| 77 | Morocco | 4,672 |
| 78 | Philippines | 4,171 |
| 79 | Uzbekistan | 3,968 |
| 80 | Palestine | 3,171 |
| 81 | Cambodia | 2,872 |

A few things jump out compared to the PISA ranking: rich-but-small economies like Ireland, Switzerland, Iceland, and Norway top the GDP list but weren't near the top of PISA scores; oil/gas states (Qatar, UAE, Saudi Arabia) rank much higher on GDP per capita than on PISA; and several top PISA performers (Estonia, Poland, Korea, Japan) are solidly mid-pack on income, underscoring that national wealth and PISA performance are correlated but far from identical - Estonia in particular scores near the very top on PISA despite modest GDP per capita.

 â„–3896074[Quote]

>>3896066
well this is fucking useless cause he ignored blacks


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