David SimsEssays

Hierarchy of Systematic Looting by Inferior Races

by David Sims

THE CONTROLLED media in the United States lie a lot, and one of the subjects upon which they lie frequently is the racial breakdown of people who subsist on public assistance programs, which are run by the government and which are subsidized by taxing the earnings of working citizens.

Here are the US population demographic percentages:

Of US citizens,
60.4% are White
13.4% are Black
18.3% are Mestizos
5.9% are Asians
1.3% are Injuns

To follow are the percentages of each race which receive benefits from the largest public assistance programs. By dividing the percentages of these recipients by the demographic percentages shown above, you can calculate the per capita rates with which each race benefits from each program.

Of US food stamp recipients (SNAP),
35.8% are White (1.000)
25.4% are Black (3.198)
16.5% are Mestizos (1.521)
3.2% are Asians (0.9151)
1.4% are Injuns (1.817)
Total SNAP beneficiaries in 2017: 42.1 million
Total cost of benefits in 2017: $68 billion
Race ranking, least dependent to most dependent: Asians, Whites, Mestizos, Injuns, Blacks

For example, 35.8% of SNAP beneficiaries are White, but 60.4% of the US population is White, so the relative rate by which Whites benefit from SNAP is 35.8/60.4 = 0.5927. Meanwhile, 25.4% of SNAP beneficiaries are Black, but only 13.4% of the US population is Black, so the relative rate by which Blacks benefit from SNAP is 25.4/13.4 = 1.896. This means that the Black-to-White per capita rate ratio for receiving SNAP benefits is 1.896/0.5927 = 3.198. In other words, Blacks are more than three times more likely than Whites to be getting SNAP benefits.

The same math applies when comparing any two races in any of the welfare programs. The numbers in parentheses are these “Race X” to White per capita rate ratios.

Of US recipients of Temporary Assistance for Needy Families (TANF),
27.2% are White (1.000)
28.9% are Black (4.789)
37.8% are Mestizos (4.587)
1.9% are Asians (0.7151)
1.5% are Injuns (2.562)
Total recipients in 2018: 2.27 million
Total benefits in 2018: $17 billion
Race ranking, least dependent to most dependent: Asians, Whites, Injuns, Mestizos, Blacks

Of US Medcaid beneficiaries,
41% are White (1.000)
30% are Black (3.298)
20% are Mestizos (1.610)
5% are Asians (1.248)
1% are Injuns (1.133)
Total beneficiaries: about 74 million in 2017
Total cost per annum: about $600 billion in 2018
Race ranking, least dependent to most dependent: Whites, Injuns, Asians, Mestizos, Blacks

Of US residents living in Section 8 or other public housing,
30% are White (1.000)
42% are Black (6.310)
23% are Mestizos (2.530)
2% are Asians (0.6825)
1% are Injuns (1.549)
Total households getting assistance of some kind: about 5 million
Total persons living in public housing: about 1 million
Race ranking, least dependent to most dependent: Asians, Whites, Injuns, Mestizos, Blacks

Of US residents receiving housing assistance of any kind,
29% are White (1.000)
46% are Black (7.150)
20% are Mestizos (2.276)
2% are Asians (0.7060)
1% are Injuns (1.602)
Total persons receiving such assistance: 2.8 million
Race ranking, least dependent to most dependent: Asians, Whites, Injuns, Mestizos, Blacks

The average welfare recipient receives $1000/month in benefits.

The race ranking for SNAP is

Asians, the least dependent race
Whites
Mestizos
Injuns
Blacks, the most dependent race

The race ranking for TANF, for Public Housing, and for Housing Assistance is

Asians, the least dependent race
Whites
Injuns
Mestizos
Blacks, the most dependent race

The race ranking for Medicaid is

Whites, the least dependent race
Injuns
Asians
Mestizos
Blacks, the most dependent race

Medicaid is by far the largest of the welfare programs in terms of cost.

Reminder: As they stand in the US today [and as they must stand in any multiracial society], public assistance or welfare programs are a systematic looting from the better races, in order to subsidize members of inferior races.

* * *

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David R. Westerlund
David R. Westerlund
7 May, 2021 10:17 am

Being White, even referred to as a White Supremacist by some, I must OBJECT to the ethnic word “Injun(s)”. Native American or Indigenous would be better. We (Whites and other races) took the United States much as i$rahell and the rodent jews have taken Palestine. 88 Dave

Torch
Torch
Reply to  David R. Westerlund
9 May, 2021 9:47 pm

So, we did what conquering and expanding peoples have done for millennia and we are supposedly as bad as the jews for that? Get your bleeding heart out of here. They certainly don’t mind jumping on the anti white bandwagon and we shouldn’t have any concern about calling them injuns, feather heads, redskins, or anything else. I can only guess you’ve got an injun in the genepool that you feel closer to than whites or you’re just trying to sow discontent.

Nature is a harsh mistress, veni, vidi, vici. We just didn’t conquer harsh enough and are now paying for it.

Patrick White
Patrick White
Reply to  David R. Westerlund
18 May, 2021 6:40 pm

Good riddance to the Injuns.

Remember, you’re using technology created by the superseding Whites to voice your discontent, Dave.

theroadtopower.com
theroadtopower.com
9 May, 2021 5:37 pm

Negroes are over-represented in those public assistance stats because you and others like you refuse to hire them for all the nuclear power plant engineer and brain surgeon positions because you hate the color of their skin.

James Clayton
James Clayton
13 May, 2021 8:53 am

Now free for the downloading, https://www.academia.edu/43065518/How_to_Lie_with_Statistics_by_Darrell_Huff was all the professor recommended we buy, rather than the textbook in a community college freshman course in statistics in 1968. That and the Textbook of Dendrology are the only two books I bought that year that are still on my shelves. And I recommend both.