"Mostly Whites cause pollution, mostly Blacks and Hispanics breathe it"

At least, that is the case according to a recent "study" cited by Reuters, Associated Press, NPR, Washington Post and, below, USA Today:

The air that Americans breathe isn't equal. Blacks and Hispanics disproportionately breathe air that's been polluted by non-Hispanic whites, according to a study. This new research quantifies for the first time the racial gap between who causes air pollution – and who breathes it.

"Pollution is disproportionately caused by whites, but disproportionately inhaled by black and Hispanic minorities," the study said.

Poor air quality remains the largest environmental health risk in the United States, the study warns. In fact, with 100,000 deaths per year, more Americans die from air pollution than car crashes and murders combined.

“Even though minorities are contributing less to the overall problem of air pollution, they are affected by it more,” said study co-author Jason Hill, an engineering professor at the University of Minnesota, who is white. “Is it fair (that) I create more pollution and somebody else is disproportionately affected by it?”

The type of pollution analyzed in the study is known as "PM 2.5" – tiny grains of "particulate matter" that are especially dangerous to human health because they can get deep into our lungs.

Those particles, at 2.5 micrometers far smaller than the width of a human hair, are produced by car tailpipes, power plant smokestacks and burning materials.

The study found that black and Hispanic Americans bear a "pollution burden:" Blacks are exposed to about 56 percent more pollution than is caused by their consumption.

For Hispanics, it is slightly higher – 63 percent. However, non-Hispanic whites experience a "pollution advantage," meaning they breathe about 17 percent less air pollution than whites cause. The data scientists used in their study is driven by disparities in the amount of goods and services that groups consume and in the exposure to the resulting pollution.


“On average, whites tend to consume more than minorities. It’s because of wealth,” Hill said.

It is truly a sight to behold, and indeed a sign of the world we live in, that this "study" is given the time of day, let alone reported by so-called professional media sources as if it were news.

After all, the only thing the "scientists" behind this "study" did was twist the perception of commonly-known generalizations and portray those generalizations in a race-baiting framework. We already know that White people typically live outside the city, and that areas outside the city tend to have cleaner air; we already know that those same White people typically commute to work in the city, and do so on a regular basis, bringing pollution from their vehicles with them. These phenomena have existed for nearly 100 years and only become more pronounced since the time that certain Blacks began to riot and loot in cities like Los Angeles and Detriot, prompting most Whites to move as far away as possible. What have these "scientists" done other than take already-known data and make an even broader generalization about "what races do"?

But there is even more going on - and going wrong - with this "study" because the other air pollution that city-dwellers breathe in is largely a result their own behavior. After all, city-dwellers spend at least as much time outdoors as they do indoors and, as the Journal of Urban Health noted in 2007, "some of the pollutants that impact [inner city] air quality include:

*Cigarette smoke (found in 67% of city homes vs. 5% of suburban homes)

*Gas stoves (found in 84% of city homes vs. 40% of suburban homes)

*Leaky roofs, water damage and other signs of disrepair that may indicate mold contamination (found in 77% of city homes vs. 5% of suburban homes)

*Cockroach infestation (found in 64% of city homes vs. 0% of suburban homes)

*Mouse infestation (found in 80% of city homes vs. 5% of suburban homes)"

Notably, cigarette smoke contributes the same air pollution particulate matter (PM 2.5) featured in the study and, when it comes to second-hand smoke, Blacks are generally exposed to more cigarette smoke than Whites:




I guess that is the White man's fault for smoking in the homes of Blacks in the major cities where Blacks - and specifically Blacks - congregate:







Next, note how the "study" blaming Whites for the most pollution-generating consumption removes Asians as an explicit comparative group. In order to understand why, let's have a closer look at Asian consumer behavior in the United States:


 
(https://www.statista.com/statistics/694716/consumer-expenditure-by-race-us/)

See anything that pops out at you, like oh, I don't know, the average Asian consuming more than the average White? Well, let us go back to the article to see how facts like this were manipulated, because here comes the "gotcha":

“On average, whites tend to consume more than minorities."

In other words, because Asians are only 5%-6% of the population of the United States, they are a minority, and their high consumption totals can be lumped together with the lower Black and Latino consumption figures to compute a "minority" average (Blacks and Latinos are still a U.S. minority) which is thus below the average White consumption total. Did you see what the "scientist" did there? He made the figures for the average Asian's consumption disappear so Whites can be targeted for causing "the most pollution" on average and the White-bashing narrative can proceed as normal. This, of course, distracts us from what really is going on:


MOST POLLUTED CITIES IN THE WORLD (PM 2.5):

1
2016
173
>75%
319
NA
2018
2
2016
172
>75%
316
NA
2018
3
2016
149
50% -< 75%
275
NA
2018
4
2016
146
>75%
260
NA
2018
5
2016
144
>75%
266
NA
2018
6
2016
143
>75%
292
NA
2018
7
2016
138
>75%
255
NA
2018
8
2012
132
NA
141
NA
2016
9
2016
131
>75%
194
NA
2018
10
2016
120
50% -< 75%
124
NA
2018
11
2016
120
>75%
221
NA
2018
12
2010
111
NA
540
NA
2016
13
2010
107
NA
448
NA
2016
14
2016
105
50% -< 75%
193
NA
2018
15
2013
104
NA
170
NA
2016
16
2016
101
NA
184
NA
2018
17
2016
98
>75%
180
NA
2018
18
2015
94
>75%
205
>75%
2018
19
2016
93
NA
147
NA
2018
20
2012
93
NA
168
NA
2016
21
2016
92
>75%
197
NA
2018
22
2014
90
NA
192
NA
2018
23
2015
89
NA
147
NA
2018
24
2009
88
NA
290
NA
2016
25
2016
87
NA
143
NA
2018
26
2016
87
NA
186
NA
2018
27
2016
86
NA
155
NA
2018
28
2016
86
NA
151
NA
2018
29
2016
85
NA
142
NA
2018
30
2012
85
NA
152
NA
2016
31
2015
84
50% -< 75%
94
>75%
2018
32
2016
84
NA
144
NA
2018
33
2016
84
NA
86
NA
2018
34
2016
82
NA
175
NA
2018
35
2016
82
NA
143
NA
2018
36
2015
82
NA
140
NA
2018
37
2016
82
NA
149
NA
2018
38
2015
81
>75%
143
>75%
2018
39
2016
81
NA
141
NA
2018
40
2016
81
NA
141
NA
2018
41
2015
80
>75%
113
>75%
2018
42
2015
79
NA
136
NA
2018
43
2016
79
NA
130
NA
2018
44
2015
79
>75%
138
>75%
2018
45
2014
78
NA
117
NA
2016
46
2016
78
NA
143
NA
2018
47
2016
77
NA
130
NA
2018
48
2016
77
NA
127
NA
2018
49
2016
76
NA
139
NA
2018
50
2016
75
NA
125
NA
2018
51
2017
75
>75%
116
>75%
2018
52
2016
74
NA
158
NA
2018
53
2016
74
NA
127
NA
2018
54
2016
74
NA
115
NA
2018
55
2016
74
>75%
136
NA
2018
56
2016
73
NA
92
NA
2018
57
2016
73
NA
128
NA
2018
58
2016
73
NA
141
NA
2018
59
2016
73
NA
127
NA
2018
60
2016
73
NA
99
NA
2018
61
2016
73
NA
251
NA
2018
62
2015
72
NA
115
NA
2018
63
2016
72
NA
122
NA
2018
64
2016
71
NA
137
NA
2018
65
2016
70
NA
123
NA
2018
66
2014
70
NA
105
NA
2016
67
2016
69
NA
147
NA
2018
68
2016
69
NA
137
NA
2018
69
2016
69
NA
103
NA
2018
70
2014
68
NA
102
NA
2016
71
2014
68
NA
102
NA
2016
72
2016
68
NA
122
NA
2018
73
2016
68
NA
113
NA
2018
74
2016
68
NA
120
NA
2018
75
2010
68
NA
198
NA
2016
76
2016
67
NA
85
NA
2018
77
2014
67
NA
101
NA
2016
78
2012
67
NA
105
NA
2016
79
2015
66
50% -< 75%
91
>75%
2018
80
2012
66
NA
318
NA
2016
81
2016
66
NA
112
NA
2018
82
2016
66
NA
127
NA
2018
83
2016
66
NA
125
NA
2018
84
2013
66
NA
149
NA
2018
85
2011
66
NA
217
NA
2016
86
2010
65
NA
106
NA
2016
87
2015
65
50% -< 75%
120
NA
2018
88
2012
64
NA
257
NA
2016
89
2016
64
>75%
84
NA
2018
90
2014
64
NA
75
NA
2016
91
2014
64
NA
97
NA
2016
92
2016
64
NA
87
NA
2018
93
2016
64
NA
93
NA
2018
94
2016
64
>75%
104
NA
2018
95
2016
63
50% -< 75%
154
NA
2018
96
2016
63
NA
105
NA
2018
97
2016
63
NA
93
NA
2018
98
2016
63
NA
119
NA
2018
99
2016
63
NA
112
NA
2018
100
2014
63
NA
120
NA
2018
101
2016
62
NA
111
NA
2018
102
2016
62
NA
109
NA
2018
103
2016
62
NA
97
NA
2018
104
2015
61
>75%
111
>75%
2018
105
2016
61
NA
140
NA
2018
106
2016
60
NA
100
NA
2018
107
2014
60
NA
90
NA
2016
108
2016
60
NA
100
NA
2018
109
2016
60
NA
118
NA
2018
110
2014
60
NA
91
NA
2016
111
2016
60
>75%
109
NA
2018
112
2014
60
NA
119
NA
2016
113
2016
59
NA
111
NA
2018
114
2016
59
NA
77
NA
2018
115
2016
59
NA
104
NA
2018
116
2012
58
NA
244
NA
2016
117
2016
58
NA
83
NA
2018
118
2016
58
NA
99
NA
2018
119
2014
58
NA
87
NA
2016
120
2014
58
NA
87
NA
2016
121
2014
58
NA
88
NA
2016
122
2014
58
NA
88
NA
2016
123
2016
58
NA
96
NA
2018
124
2015
58
NA
82
NA
2018
125
2014
58
NA
88
NA
2016
126
2014
58
NA
88
NA
2016
127
2016
58
NA
132
NA
2018
128
2016
58
>75%
129
>75%
2018
129
2016
57
>75%
104
NA
2018
130
2016
57
NA
83
NA
2018
131
2016
57
NA
89
NA
2018
132
2014
57
NA
87
NA
2016
133
2014
57
NA
86
NA
2016
134
2016
57
NA
92
NA
2018
135
2016
56
NA
80
NA
2018
136
2016
56
NA
86
NA
2018
137
2016
56
NA
85
NA
2018
138
2014
56
NA
84
NA
2016
139
2014
56
NA
84
NA
2016
140
2014
56
NA
84
NA
2016
141
2016
56
NA
88
NA
2018
142
2016
56
NA
120
NA
2018
143
2014
56
NA
85
NA
2016
144
2016
56
NA
103
NA
2018
145
2016
56
NA
129
NA
2018
146
2016
56
NA
161
NA
2018
147
2016
55
NA
91
NA
2018
148
2016
55
NA
81
NA
2018
149
2016
55
NA
101
NA
2018
150
2014
55
NA
83
NA
2016
151
2016
55
NA
117
NA
2018
152
2016
55
NA
112
NA
2018
153
2016
55
>75%
101
NA
2018
154
2016
55
NA
126
NA
2018
155
2016
54
NA
71
NA
2018
156
2016
54
NA
77
NA
2018
157
2014
54
NA
81
NA
2016
158
2016
54
NA
132
NA
2018
159
2016
54
NA
76
NA
2018
160
2016
54
NA
77
NA
2018
161
2016
54
NA
94
NA
2018
162
2014
54
NA
82
NA
2016
163
2014
54
NA
81
NA
2016
164
2014
54
NA
82
NA
2016
165
2014
54
NA
82
NA
2016
166
2016
53
NA
73
NA
2018
167
2016
53
NA
92
NA
2018
168
2016
53
NA
75
NA
2018
169
2016
53
NA
82
NA
2018
170
2016
52
NA
74
NA
2018
171
2016
52
NA
76
NA
2018
172
2014
52
NA
79
NA
2016
173
2014
52
NA
79
NA
2016
174
2014
52
NA
78
NA
2016
175
2014
51
NA
77
NA
2016
176
2016
51
NA
75
NA
2018
177
2014
51
NA
77
NA
2016
178
2016
51
NA
81
NA
2018
179
2016
51
NA
87
NA
2018
180
2016
51
NA
78
NA
2018
181
2016
51
NA
85
NA
2018
182
2016
51
NA
68
NA
2018
183
2016
51
NA
87
NA
2018
184
2016
51
NA
83
NA
2018
185
2016
51
50% -< 75%
63
>75%
2018
186
2016
50
NA
81
NA
2018
187
2016
50
NA
74
NA
2018
188
2016
50
NA
80
NA
2018
189
2016
50
>75%
89
NA
2018
190
2016
50
NA
115
NA
2018
191
2016
49
NA
64
NA
2018
192
2014
49
NA
74
NA
2016
193
2016
49
NA
81
NA
2018
194
2016
49
NA
105
NA
2018
195
2016
49
NA
75
NA
2018
196
2016
49
NA
78
NA
2018
197
2014
49
NA
73
NA
2016
198
2016
49
NA
113
NA
2018
199
2016
49
NA
72
NA
2018
200
2016
49
NA
95
NA
2018
201
2012
49
NA
65
NA
2016
202
2016
49
>75%
80
NA
2018
203
2013
49
NA
88
NA
2016
204
2016
48
NA
75
NA
2018
205
2016
48
NA
69
NA
2018
206
2014
48
NA
72
NA
2016
207
2016
48
NA
85
NA
2018
208
2014
48
NA
72
NA
2016
209
2016
48
NA
83
NA
2018
210
2016
48
NA
98
NA
2018
211
2016
48
NA
77
NA
2018
212
2014
48
NA
73
NA
2016
213
2016
48
NA
72
NA
2018
214
2016
48
>75%
102
NA
2018
215
2015
47
>75%
86
50% -< 75%
2018
216
2016
47
NA
105
NA
2018
217
2016
47
NA
64
NA
2018
218
2016
47
NA
87
NA
2018
219
2016
47
NA
100
NA
2018
220
2016
47
NA
83
NA
2018
221
2016
47
NA
114
NA
2018
222
2014
47
NA
71
NA
2016
223
2016
46
NA
78
NA
2018
224
2016
46
NA
78
NA
2018
225
2016
46
NA
114
NA
2018
226
2016
46
NA
98
NA
2018
227
2014
46
NA
69
NA
2016
228
2016
46
NA
87
NA
2018
229
2016
46
NA
63
NA
2018
230
2016
46
NA
71
NA
2018
231
2016
46
NA
73
NA
2018
232
2016
46
NA
70
NA
2018
233
2014
46
NA
69
NA
2016
234
2016
46
NA
87
NA
2018
235
2016
46
NA
77
NA
2018
236
2016
46
NA
72
NA
2018
237
2014
46
NA
69
NA
2016
238
2016
46
NA
111
NA
2018
239
2016
46
>75%
96
50% -< 75%
2018
240
2016
46
NA
105
NA
2018
241
2016
46
NA
105
NA
2018
242
2016
46
NA
98
NA
2018
243
2016
45
NA
74
NA
2018
244
2015
45
NA
62
NA
2018
245
2016
45
NA
68
NA
2018
246
2016
45
NA
86
NA
2018
247
2016
45
NA
85
NA
2018
248
2016
45
NA
59
NA
2018
249
2016
45
NA
68
NA
2018
250
2016
45
NA
78
NA
2018
251
2016
45
NA
70
NA
2018
252
2016
45
>75%
82
NA
2018
253
2016
45
NA
96
NA
2018
254
2012
44
NA
250
NA
2016
255
2016
44
NA
56
NA
2018
256
2016
44
NA
78
NA
2018
257
2016
44
NA
94
NA
2018
258
2016
44
NA
66
NA
2018
259
2016
44
NA
68
NA
2018
260
2016
44
NA
78
NA
2018
261
2016
44
NA
73
NA
2018
262
2016
44
NA
82
NA
2018
263
2016
44
NA
69
NA
2018
264
2016
44
>75%
84
NA
2018
265
2016
44
NA
100
NA
2018
266
2016
44
NA
102
NA
2018
267
2016
43
NA
92
NA
2018
268
2016
43
NA
92
NA
2018
269
2014
43
NA
71
NA
2018
270
2016
43
NA
92
NA
2018
271
2016
42
NA
71
NA
2018
272
2014
42
NA
63
NA
2016
273
2016
42
NA
79
NA
2018
274
2016
42
NA
69
NA
2018
275
2016
42
NA
80
NA
2018
276
2016
42
NA
76
NA
2018
277
2016
42
NA
68
NA
2018
278
2016
42
NA
96
NA
2018
279
2016
42
>75%
90
NA
2018
280
2012
41
NA
178
NA
2016
281
2016
41
NA
67
NA
2018
282
2016
41
NA
70
NA
2018
283
2016
41
NA
88
NA
2018
284
2016
41
NA
80
NA
2018
285
2016
41
NA
70
NA
2018
286
2016
41
NA
59
NA
2018
287
2014
41
NA
47
NA
2016
288
2013
41
NA
56
NA
2016
289
2016
41
>75%
63
NA
2018
290
2016
41
NA
67
NA
2018
291
2016
41
NA
98
NA
2018
292
2011
41
NA
85
NA
2016
293
2016
40
NA
81
NA
2018
294
2016
40
NA
67
NA
2018
295
2016
40
NA
81
NA
2018
296
2016
40
>75%
69
>75%
2018
297
2016
39
NA
95
NA
2018
298
2016
39
NA
67
NA
2018
299
2016
39
NA
60
NA
2018
300
2016
39
NA
68
NA
2018
301
2016
39
NA
62
NA
2018
302
2016
39
NA
72
NA
2018
303
2016
39
NA
97
NA
2018
304
2016
39
NA
76
NA
2018
305
2016
39
NA
69
NA
2018
306
2016
39
>75%
71
NA
2018
307
2016
39
NA
89
NA
2018
308
2016
39
50% -< 75%
58
>75%
2018
309
2016
39
>75%
57
>75%
2018
310
2016
38
NA
55
NA
2018
311
2016
38
NA
70
NA
2018
312
2016
38
NA
55
NA
2018
313
2014
38
NA
57
NA
2016
314
2016
38
NA
81
NA
2018
315
2016
38
NA
90
NA
2018
316
2016
38
NA
79
NA
2018
317
2016
38
NA
87
NA
2018
318
2016
38
NA
87
NA
2018
319
2016
37
NA
76
NA
2018
320
2016
37
NA
63
NA
2018
321
2016
37
NA
72
NA
2018
322
2016
37
NA
68
NA
2018
323
2016
37
NA
79
NA
2018
324
2016
37
NA
55
NA
2018
325
2016
37
NA
85
NA
2018
326
2012
37
NA
90
NA
2016
327
2008
37
NA
60
NA
2016
328
2016
36
NA
75
NA
2018
329
2016
36
NA
56
NA
2018
330
2016
36
NA
62
NA
2018
331
2016
36
NA
52
NA
2018
332
2016
36
NA
61
NA
2018
333
2016
36
NA
77
NA
2018
334
2015
36
>75%
60
>75%
2018
335
2016
36
NA
83
NA
2018
336
2016
36
NA
83
NA
2018
337
2011
36
NA
86
NA
2016
338
2013
36
>75%
148
>75%
2018
339
2016
35
NA
67
NA
2018
340
2016
35
NA
52
NA
2018
341
2016
35
NA
49
NA
2018
342
2016
35
NA
69
NA
2018
343
2016
35
NA
63
NA
2018
344
2015
35
50% -< 75%
75
NA
2018
345
2014
35
NA
47
NA
2018
346
2016
35
NA
48
NA
2018
347
2016
35
NA
81
NA
2018
348
2016
34
NA
55
NA
2018
349
2016
34
NA
55
NA
2018
350
2014
34
NA
51
NA
2016
351
2016
34
NA
55
NA
2018
352
2016
34
NA
51
NA
2018
353
2016
34
NA
76
NA
2018
354
2016
34
NA
79
NA
2018
355
2015
34
NA
73
NA
2018
356
2016
34
NA
73
NA
2018
357
2014
34
NA
58
NA
2016
358
2016
33
NA
62
NA
2018
359
2016
33
NA
57
NA
2018
360
2016
33
NA
51
NA
2018
361
2016
33
NA
98
NA
2018
362
2016
33
NA
70
NA
2018
363
2016
33
NA
51
NA
2018
364
2016
33
NA
65
NA
2018
365
2014
33
NA
59
NA
2016
366
2016
33
NA
52
NA
2018
367
2016
33
NA
75
NA
2018
368
2016
33
NA
75
NA
2018
369
2014
33
NA
40
NA
2016
370
2011
33
NA
80
NA
2016
source: WHO Global Ambient Air Quality Database


Holler when you find the first city in the above list which is in a country where Hispanics, Blacks or some other group besides Whites are not the majority.

Here is a visual representation of roughly the same phenomena:





Note how these same populations are doing the least to introduce ecologically-friendly measures:






Where is the study that takes note of this?

Where is the mainstream media report hamming this message into the mainstream?


Of course you will not find it. The only narrative permitted is that everything is White man's fault - collectively - and nobody else's, especially not collectively. We have all seen it before:

"Global warming is White man's fault"

"White man is polluting when he drives to work."


Believe it or not, these are actual arguments; it is not enough that White man is driving to work to get money to pay his taxes so the government can provide trillions in welfare packages for some of the biggest pollution offenders:







Recipients of Development Assistance - ODA (in millions):
Continent
Country
2012
2013
2015
Middle East
1,671.5
3,626.7
4,889.74
Asia
6,725.0
5,265.95
4,237.29
Asia
2,019.0
2,174.1
3,747.5
Africa
3,261.3
3,826.2
3,233.71
Asia
1,667.63
2,435.68
3,174.35
Asia
4,115.7
4,084.7
3,157.36
Africa
2,859.3
2,572.2
2,599.04
Africa
2,831.8
3,430.2
2,582.24
Asia
2,152.0
2,669.1
2,570.1
Africa
1,806.6
5,505
2,499.43
Africa
2,654.0
3,236.2
2,464.18
Africa
1,915.8
2,529.4
2,431.5
Middle East
1,416.9
1,407.9
2,151.85
Asia
3,033.1
2,740.5
2,145.22
Asia


1,871.21
Africa
2,096.9
2,314.1
1,814.74
Africa
1,807.9
1,330.5
1,768.69
Africa
1,578.0
1,447.4
1,674.83
Africa
1,655.1
1,692.5
1,628.2
Middle East
709.3
1,003.5
1,531.38
Middle East
 Iraq
1,300.7
1,541.4
1,482.94
Africa
1,480.3
1,966.1
1,481.43
Europe
769.2
800.7
1,449.35
Africa
1,067.1
1,292.9
1,420.27
Americas
764.4
852.03
1,355.86
Africa
998.6
991.9
1,253.37
Asia
   Nepal
769.7
870.5
1,224.78
Africa
 Mali
1,001.3
1,391.3
1,204.13
Asia
504.0
3934.8
1,168.5
Africa
570.9
534.2
1,094.43
Africa
878.9
1,081.1
1,085.33
Africa
1,174.6
1,125.8
1,049.38
Americas
1,275.1
1,170.5
1,045.86
Americas
1.2
1,150.17
1,003.15
Africa
1,158.5
1,040.11
996.99
Middle East
710.2
626.4
974.92
Africa
442.8
443.7
946.33
Africa
983.2
1,163.1
899.78
Africa
1,080.1
982.8
879.12
Africa
901.8
773.1
867.99
Africa
957.7
1,142.4
797.14
Americas
658.6
699.15
791.31
Africa
1,001.2
811
788.29
Asia
472.9
536.6
769.99
Asia
807.4
804.81
679.04
Africa
378.6
499.7
676.97
Africa
596.2
737.49
663.08
Africa
2,635.6
1,262
653.06
Africa
 Chad
478.5
399.33
606.65
Asia
664.8
656.2
591.39
Americas
 Cuba
87.8
101.24
552.73
Americas
571.5
627.6
540.52
Africa
339.6
499.5
538.04
Asia


515.31
Africa
227.2
189.25
486.73
Africa
1,017.0
713.6
474.54
Asia
 Laos
408.9
421
471.09
Americas
532.3
496.6
457.92
Europe
662.2
652.7
448.93
Asia
255.2
292.5
447.81
Europe
567.6

437.81
Africa
511.3
652.61
430.14
Asia
487.5
423.2
427.23
Asia
393.9
382.2
426.35
Americas
299.4
494.1
411.29
Africa
242.3
287.61
380.06
Africa
522.7
546.27
366.54
Europe
571.1
550.04
355.03
Europe
272.7
292.76
347.48
Americas
 Peru
393.8
367.5
334.83
Europe
341.6
298.38
333.58
Americas
417.8
560.6
321.07
Americas
149.4
147.8
318.16
Africa
408.3
291.2
318.0
Europe
473.0
374.4
312.58
Europe
1,089.8
783.2
312.48
Americas
261.3
148.13
279.96
Asia
448.7
428.2
236.34
Europe
148.9
251.6
214.32
Asia
283.0
257.8
212.29
Africa
 Togo
241.4
220.5
199.59
Oceania
304.9
288.3
190.03
Oceania
101.4
90.5
186.56
Africa
146.5
152.95
169.56
Africa
87.0
129.4
157.37
Africa
264.8
261.7
142.38
Asia
98.1
109
131.43
Americas
32.7
37.77
111.30
Middle East
 Iran
148.8
131.3
110.90
Africa
138.8
110.8
107.68
Europe
103.2
104.68
104.58
Oceania
 Fiji
107.3
90.9
102.48
Europe
103.2
127.3
99.96
Africa
73.2
90.8
98.78
Asia
161.2
134.69
97.28
Africa
98.9
103.6
95.04
Africa
133.7
83.69
94.12
Oceania
120.6
118.1
93.72
Africa
88.1
115.9
93.63
Americas
230.4
171.3
89.70
Africa
138.6
150.4
88.88
Africa
144.5
207.96
87.49
Africa
282.6
320
83.14
Asia
129.6
91.3
82.50
Oceania
115.0
142.9
81.39
Africa
177.8
148.3
78.42
Europe
284.9
-63.13
69.62
Oceania
78.2
80.3
68.40
Africa
68.6
81.9
65.78
Africa
73.8
108.38
65.54
Oceania
64.6
64.4
64.95
Americas
104.4
129.4
60.18
Americas
21.0
70.3
59.07
Asia
-134.7
-23.7
58.67
Oceania
76.0
93.7
57.06
Americas
125.5
78.52
54.330
Oceania
24.4
26.6
49.65
Africa
48.7
51.7
48.95
Americas
48.1
35.4
36.59
Americas
114.4
101.8
32.14
Oceania


31.25
Americas
25.1
49.55
28.27
Asia
58.0
22.9
26.83
Americas
7.6
10
24.1
Asia
38.0
37.3
23.62
Americas
19.3
35.7
23.18
Americas
39.6
29.8
15.98
Oceania
15.0
35.2
13.93
Americas
26.8
24.3
13.76
Americas
8.5
7.5
13.5
Americas
25.6
19.8
11.71
Americas
50.7
6.8
10.25
Africa
14.2
5.7
7.49
Africa
35.3
25.4
6.78
Americas
2.3
1.5
1.49


White man should be taxed for driving to work, too. And yet, the same countries he funds are doing next to nothing to even stem their population growth which would go a long way towards reducing their so-called carbon footprint. Take a look at the situation in Africa. Or in Nigeria, for example:





The following countries have growth rates that are nearly just as ridiculously out of control as Nigeria's - including the countries we are giving aid to (highlighted in yellow):


Growth rate per country (%):
< br />
Country/ Region
2009
2012
%
2014
%
2005-2010
%
2010-2015
%
2015-2020
%
1.92
2.49
2.49
6.67
2.01
4.26
 Oman
9.13
2.06
2.06
3.83
6.45
4.08
3.84
3.28
3.28
3.75
3.84
3.81
2.80
2.54
2.54
4.56
4.24
3.59
3.12
2.78
2.78
3.57
3.52
3.28
3.35
3.24
3.24
3.45
3.37
3.23
2.74
2.50
2.50
3.28
3.33
3.22
3.19
3.28
3.28
3.33
3.03
3.15
3.04
2.80
2.80
3.14
3.12
3.06
 Chad
3.00
1.92
1.92
3.32
3.29
3.01
 Mali
2.99
3.00
3.00
3.27
2.95
2.99
3.19
2.88
2.88
2.78
3.01
2.97
3.19
2.23
2.23
3.17
3.12
2.93
2.86
1.75
1.75
2.93
2.86
2.93
2.86
3.05
3.05
3.01
2.98
2.87
2.86
3.33
3.33
3.02
2.95
2.87
2.50
2.45
2.45
2.93
2.91
2.86
 Iraq
2.54
2.23
2.23
2.60
3.21
2.78
2.92
2.48
2.48
2.76
2.96
2.77
2.73
2.81
2.81
2.84
2.79
2.73
4.30
4.12

4.33
3.32
2.72
2.49
2.26
2.26
2.85
2.95
2.69
2.80
2.62
2.62
2.86
2.72
2.67
2.61
1.94
1.94
2.98
2.60
2.59
2.79
2.47
2.47
2.64
2.67
2.58
2.56
2.63
2.63
2.18
2.27
2.57
2.54
2.60
2.60
2.73
2.68
2.56
 Western Sahara(Sahrawi)

2.89
2.89
1.87
1.83
2.54
2.68
2.52
2.52
3.82
2.62
2.52
2.29
1.96
1.96
2.13
2.49
2.49
2.70
2.11
2.11
2.74
2.66
2.49
 Togo
2.60
2.71
2.71
2.70
2.63
2.45
2.39
1.93
1.93
2.39
2.59
2.44
2.58
2.89
2.89
2.67
2.60
2.43
2.44
2.29
2.29
2.78
3.16
2.41
2.08
1.78
1.78
2.13
2.34
2.38
7.05
3.58
3.58
14.93
6.65
2.36
2.77
2.63
2.63
2.61
2.53
2.36
2.33
2.72
2.72
2.74
2.62
2.33
3.28
2.30
2.30
2.02
1.98
2.28
2.70
4.36
4.36
1.70
2.27
2.28
2.44
1.87
1.87
2.40
2.40
2.24
2.65
1.89
1.89
2.32
2.25
2.18
2.39
1.94
1.94
3.12
3.26
2.17
2.19
3.86
3.86
4.57
4.86
2.17
2.17
2.19
2.19
2.58
2.36
2.16
2.88
2.44
2.44
1.56
2.24
2.14
1.87
0.67
0.67
1.34
2.20
2.12
1.91
2.33
2.33
2.65
2.28
2.12
2.24
2.01
2.01
2.42
2.26
2.10
2.45
1.75
1.75
2.18
2.24
2.06
2.43
1.92
1.92
2.54
2.22
2.05
2.17
1.84
1.84
2.37
2.16
2.01
2.53
1.86
1.86
2.22
2.10
1.94
2.13
2.07
2.07
2.32
2.14
1.94
2.69
2.49
2.4
2.05
2.09
1.91
1.88
1.49
1.49
2.75
2.81
1.90
1.66
1.84
1.84
1.82
2.18
1.87
1.93
−0.09
−0.09
2.68
2.76
1.85
0.86
1.26
1.26
1.64
1.84
1.79
3.95
1.70
1.70
5.51
5.44
1.78
1.54
1.14
1.14
1.68
1.84
1.75
1.54
1.18
1.18
2.12
1.82
1.71
1.89
1.88
1.88
1.63
1.98
1.67
2.03
1.74
1.74
2.11
1.79
1.63
1.29
1.14
1.14
1.35
1.80
1.61
1.99
2.13
2.13
1.50
0.43
1.58
1.81
1.46
1.46
2.35
1.65
1.55
1.64
1.35
1.35
1.80
1.71
1.55
1.52
2.23
2.23
1.66
1.72
1.51
1.72
1.81
1.81
1.66
1.64
1.51
1.52
1.37
1.37
1.42
1.86
1.50
1.76
1.63
1.63
1.51
1.62
1.49
1.65
1.60
1.60
1.67
1.56
1.47
 Laos
1.89
1.59
1.59
1.64
1.30
1.45
1.22
1.04
1.04
1.32
1.57
1.44
1.60
1.37
1.37
1.67
1.56
1.42
1.47
0.93
0.93
1.52
1.59
1.41
2.45
1.92
1.92
2.44
1.74
1.40
3.10
2.71
2.71
11.82
2.03
1.39
1.28
1.12
1.12
1.26
1.58
1.37
1.66
1.47
1.47
1.83
1.78
1.35
0.84
3.08
3.08
1.26
0.21
1.33
1.08
0.34
0.34
0.91
1.27
1.31
1.60
1.09
1.09
1.78
1.46
1.30
2.49
1.12
1.12
2.08
2.19
1.27
1.43
1.02
1.02
1.20
1.43
1.26
1.53
1.42
1.42
1.61
1.41
1.26
1.40
1.65
1.65
1.25
1.43
1.25
0.78
1.39
1.39


1.25
1.72
1.19
1.19
1.38
1.34
1.25
1.24
1.21
1.21
1.57
1.41
1.23
1.39
1.08
1.08
1.53
1.38
1.20
 Peru
1.25
0.99
0.99
1.24
1.32
1.20
1.18
−0.48
−0.48
1.10
1.39
1.20
1.68
1.13
1.13
2.05
1.58
1.18
1.43
1.17
1.17
1.07
1.58
1.13
1.26
1.25
1.25
1.46
1.23
1.10
   Nepal
1.16
1.82
1.82
1.05
1.17
1.09
0.97
0.92
0.92
1.04
1.16
1.09
1.15
1.17
-
1.23
1.19
1.09
1.26
1.25
1.25
1.38
1.24
1.07
1.46
1.02
1.02
1.29
1.17
1.07
0.72
0.37
0.37
0.56
0.79
1.06
1.25
0.95
0.95
1.35
1.25
1.05
1.19
1.60
1.60
1.18
1.16
1.04


Note the pattern: once again, it is places where Hispanics, Blacks or some other group besides Whites are the majority.

Meanwhile, we are told it is a tragedy when even more people from these countries are unable to come into the world:








Forget the fact that it took nearly 150 years for the global population to grow from 1 to 2 billion, a mark reached a century ago, and has since ballooned to 7.5 billion; the elites in their ivory towers at the Brookings Institute know the Earth can sustain 10 billion. How about 11 billion? No problem. 12 billion? No problem, keep 'em coming. Accordingly, White man is asked to send even more money - donation money - to make it possible for the populations in these troubled areas grow even larger. If White man does not send this extra money, he is made to feel like a bad person - if he does act, however, he is scolded for being "paternalistic". White man is expected to open up his country's borders to these masses.

But the truth is, no matter what is done, White man cannot escape being hated and blamed for everything.



There are people who even appear to be cheering for White man's replacement:







If White man is such a problem, maybe they should just get rid of him. Oh wait, that is pretty much exactly what is happening:




"Muh multicultural paradise" - filled with African and Asian overpopulation, pollution and poverty.

And to think we could be living on the moon and well on our way to Mars by now...












...except we decided to dump trillions upon trillions of dollars into a black hole, helping people who hate us - and importing millions of people to replace us because employing them is more profitable and the "right thing to do."