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Changes for page Black Crime

Last modified by Ryan C on 2025/08/18 02:00

From version 59.1
edited by Ryan C
on 2025/06/26 01:59
Change comment: There is no comment for this version
To version 44.1
edited by Ryan C
on 2025/06/25 23:01
Change comment: There is no comment for this version

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... ... @@ -62,10 +62,8 @@
62 62  
63 63  The reality is, however, that there is no evidence of the government ever doing this.
64 64  
65 ->Whispers of a government conspiracy to dump drugs in black neighborhoods go back at least to the Vietnam War years. Then, the rumor was that heroin was promoted to squelch rising black militancy across the nation. No proof was ever presented, but that hardly mattered.{{footnote}}Conspiracies can often ring true, Washington Post https://www.washingtonpost.com/archive/politics/1996/10/04/conspiracy-theories-can-often-ring-true/3960d4c5-593e-4b4d-b3c9-a2f9f4148c9d/{{/footnote}}
65 +>Whispers of a government conspiracy to dump drugs in black neighborhoods go back at least to the Vietnam War years. Then, the rumor was that heroin was promoted to squelch rising black militancy across the nation. No proof was ever presented, but that hardly mattered.
66 66  
67 -There was an incident of the CIA not taking action upon witnessing drug deals from Cartel members, but this was part of an ongoing investigation{{footnote}}U.S. Department of Justice Office of the Inspector General https://oig.justice.gov/sites/default/files/archive/special/9712/ch01p1.htm{{/footnote}} and is hardly uncommon. It's standard practice when building a case to allow crimes to transpire as you build evidence.{{footnote}} https://www.carolinaattorneys.com/blog/how-the-police-conduct-a-criminal-investigation-before-arrest/{{/footnote}}
68 -
69 69  ----
70 70  
71 71  == **Crime Statistics by Ethnic Group** {{id name="crime-statistics-by-ethnic-group"/}} ==
... ... @@ -74,108 +74,43 @@
74 74  
75 75  == Murder Rates for 2023 {{id name="murder-rates-for-2023"/}} ==
76 76  
77 -Here are the crime rates for 2019 by offenders{{footnote}} https://ucr.fbi.gov/nibrs/2019/tables/pdfs/offender_race_by_offense_category_2019.pdf{{/footnote}} and victims{{footnote}} https://ucr.fbi.gov/nibrs/2019/tables/pdfs/victims_race_by_offense_category_2019.pdf{{/footnote}}
75 +Race, Sex, and Ethnicity of Victim by Race, Sex, and Ethnicity of Offender, 2023
76 +[Single victim/single offender]
78 78  
79 -[[image:1750922146171-994.png||height="747" width="926"]]
78 +== Race of Victim by Race of Offender {{id name="race-of-victim-by-race-of-offender"/}} ==
80 80  
81 -[[image:1750921894119-785.png||height="586" width="920"]]
80 +|=Race of Victim |=Total |=White Offender |=Black or African American Offender |=Other Offender |=Unknown Offender
81 +|White |4,011 |3,102 |726 |71 |112
82 +|Black or African American |3,823 |324 |3,282 |18 |199
83 +|Other race¹ |292 |85 |51 |147 |9
84 +|Unknown race |235 |80 |76 |13 |66
82 82  
86 +¹ Includes American Indian or Alaska Native, Asian, and Native Hawaiian or Other Pacific Islander.
83 83  
84 -Using the formula macro we can display the method used to determine the per capita rates and difference between the 2 groups.
85 85  
86 -{{formula imageType="PNG"}}
87 -\text{Percentage Difference} = \left( \frac{\frac{657{,}935}{41{,}000{,}000} \times 100{,}000 - \frac{992{,}347}{191{,}000{,}000} \times 100{,}000}{\frac{992{,}347}{191{,}000{,}000} \times 100{,}000} \right) \times 100 = \left( \frac{1{,}604.72 - 519.55}{519.55} \right) \times 100 \approx 208.87\%
89 +----
88 88  
89 -{{/formula}}
91 +== Sex of Victim by Sex and Race of Offender {{id name="sex-of-victim-by-sex-and-race-of-offender"/}} ==
90 90  
91 -I've also created a per capita macro that you can use to determine the rate for a group by itself:
93 +|=Sex of Victim |=Total |=White Offender |=Black or African American Offender |=Other Offender |=Unknown Offender |=Male Offender |=Female Offender |=Unknown Sex Offender
94 +|Male |6,042 |2,386 |3,184 |160 |312 |5,335 |589 |118
95 +|Female |2,297 |1,196 |941 |87 |73 |2,045 |226 |26
96 +|Unknown Sex |22 |9 |10 |2 |1 |18 |3 |1
92 92  
93 -{{percapita groupAName="White" groupACount="290" groupAPopulation="191000000"}}{{/percapita}}
98 +----
94 94  
95 -Or display a comparison between 2 groups:
100 +== Ethnicity of Victim by Race and Ethnicity of Offender {{id name="ethnicity-of-victim-by-race-and-ethnicity-of-offender"/}} ==
96 96  
97 -{{percapita groupAName="White" groupACount="992347" groupAPopulation="191000000" groupBName="Black" groupBCount="657935" groupBPopulation="41000000"}}{{/percapita}}
102 +|=Ethnicity of Victim |=Total |=White Offender |=Black or African American Offender |=Other Offender |=Unknown Offender |=Hispanic or Latino Offender |=Not Hispanic or Latino Offender |=Unknown Ethnicity Offender
103 +|Hispanic or Latino |1,184 |860 |221 |20 |83 |715 |300 |96
104 +|Not Hispanic or Latino |5,113 |1,814 |2,965 |142 |192 |279 |3,757 |606
105 +|Unknown |705 |284 |349 |29 |43 |50 |271 |332
98 98  
99 -For crimes against persons:
100 -{{percapita groupAName="White" groupACount="992347" groupAPopulation="191000000" groupBName="Black" groupBCount="657935" groupBPopulation="41000000"}}{{/percapita}}
107 +----
101 101  
102 -For assault offenses:
103 -{{percapita groupAName="White" groupACount="902499" groupAPopulation="191000000" groupBName="Black" groupBCount="615467" groupBPopulation="41000000"}}{{/percapita}}
109 +**NOTE**: Ethnicity, unlike Age, Race, or Sex, is not a mandatory field. Consequently, ethnicity data totals will not match totals for the categories of age, race, or sex.
104 104  
105 -For homicide offenses:
106 -{{percapita groupAName="White" groupACount="3432" groupAPopulation="191000000" groupBName="Black" groupBCount="4157" groupBPopulation="41000000"}}{{/percapita}}
107 107  
108 -For human trafficking offenses:
109 -{{percapita groupAName="White" groupACount="620" groupAPopulation="191000000" groupBName="Black" groupBCount="570" groupBPopulation="41000000"}}{{/percapita}}
110 -
111 -For kidnapping/abduction:
112 -{{percapita groupAName="White" groupACount="14679" groupAPopulation="191000000" groupBName="Black" groupBCount="9184" groupBPopulation="41000000"}}{{/percapita}}
113 -
114 -For sex offenses:
115 -{{percapita groupAName="White" groupACount="71117" groupAPopulation="191000000" groupBName="Black" groupBCount="28557" groupBPopulation="41000000"}}{{/percapita}}
116 -
117 -For crimes against property:
118 -{{percapita groupAName="White" groupACount="1393471" groupAPopulation="191000000" groupBName="Black" groupBCount="861741" groupBPopulation="41000000"}}{{/percapita}}
119 -
120 -For arson:
121 -{{percapita groupAName="White" groupACount="5869" groupAPopulation="191000000" groupBName="Black" groupBCount="2483" groupBPopulation="41000000"}}{{/percapita}}
122 -
123 -For bribery:
124 -{{percapita groupAName="White" groupACount="477" groupAPopulation="191000000" groupBName="Black" groupBCount="112" groupBPopulation="41000000"}}{{/percapita}}
125 -
126 -For burglary/breaking & entering:
127 -{{percapita groupAName="White" groupACount="128679" groupAPopulation="191000000" groupBName="Black" groupBCount="68829" groupBPopulation="41000000"}}{{/percapita}}
128 -
129 -For counterfeiting/forgery:
130 -{{percapita groupAName="White" groupACount="51063" groupAPopulation="191000000" groupBName="Black" groupBCount="25072" groupBPopulation="41000000"}}{{/percapita}}
131 -
132 -For destruction/damage/vandalism:
133 -{{percapita groupAName="White" groupACount="235283" groupAPopulation="191000000" groupBName="Black" groupBCount="144715" groupBPopulation="41000000"}}{{/percapita}}
134 -
135 -For embezzlement:
136 -{{percapita groupAName="White" groupACount="14359" groupAPopulation="191000000" groupBName="Black" groupBCount="8882" groupBPopulation="41000000"}}{{/percapita}}
137 -
138 -For extortion/blackmail:
139 -{{percapita groupAName="White" groupACount="1673" groupAPopulation="191000000" groupBName="Black" groupBCount="606" groupBPopulation="41000000"}}{{/percapita}}
140 -
141 -For fraud offenses:
142 -{{percapita groupAName="White" groupACount="132636" groupAPopulation="191000000" groupBName="Black" groupBCount="69843" groupBPopulation="41000000"}}{{/percapita}}
143 -
144 -For larceny/theft offenses:
145 -{{percapita groupAName="White" groupACount="661215" groupAPopulation="191000000" groupBName="Black" groupBCount="391874" groupBPopulation="41000000"}}{{/percapita}}
146 -
147 -For motor vehicle theft:
148 -{{percapita groupAName="White" groupACount="80284" groupAPopulation="191000000" groupBName="Black" groupBCount="41672" groupBPopulation="41000000"}}{{/percapita}}
149 -
150 -For robbery:
151 -{{percapita groupAName="White" groupACount="38104" groupAPopulation="191000000" groupBName="Black" groupBCount="84006" groupBPopulation="41000000"}}{{/percapita}}
152 -
153 -For stolen property offenses:
154 -{{percapita groupAName="White" groupACount="43829" groupAPopulation="191000000" groupBName="Black" groupBCount="23647" groupBPopulation="41000000"}}{{/percapita}}
155 -
156 -For crimes against society:
157 -{{percapita groupAName="White" groupACount="1011897" groupAPopulation="191000000" groupBName="Black" groupBCount="409325" groupBPopulation="41000000"}}{{/percapita}}
158 -
159 -For animal cruelty:
160 -{{percapita groupAName="White" groupACount="5917" groupAPopulation="191000000" groupBName="Black" groupBCount="2134" groupBPopulation="41000000"}}{{/percapita}}
161 -
162 -For drug/narcotic offenses:
163 -{{percapita groupAName="White" groupACount="908206" groupAPopulation="191000000" groupBName="Black" groupBCount="326886" groupBPopulation="41000000"}}{{/percapita}}
164 -
165 -For gambling offenses:
166 -{{percapita groupAName="White" groupACount="763" groupAPopulation="191000000" groupBName="Black" groupBCount="563" groupBPopulation="41000000"}}{{/percapita}}
167 -
168 -For pornography/obscene material:
169 -{{percapita groupAName="White" groupACount="12877" groupAPopulation="191000000" groupBName="Black" groupBCount="3629" groupBPopulation="41000000"}}{{/percapita}}
170 -
171 -For prostitution offenses:
172 -{{percapita groupAName="White" groupACount="6747" groupAPopulation="191000000" groupBName="Black" groupBCount="4698" groupBPopulation="41000000"}}{{/percapita}}
173 -
174 -For weapon law violations:
175 -{{percapita groupAName="White" groupACount="77387" groupAPopulation="191000000" groupBName="Black" groupBCount="71415" groupBPopulation="41000000"}}{{/percapita}}
176 -
177 -
178 -
179 179  ----
180 180  
181 181  == **The numbers are worse than you think**. {{id name="the-numbers-are-worse-than-you-think."/}} ==
... ... @@ -182,8 +182,10 @@
182 182  
183 183  There's been an uncovering of an alarming trend in record keeping by the various law enforcement agencies throughout America. Its [[been discovered>>https://x.com/UnbiasedCrime/status/1700763380376875451]] that a shocking amount of nonwhite criminals are being [[classified as White>>doc:Main Categories.Crime & Justice.Blacks counted as White.WebHome]] upon their arrest. This always occurred to some extent with Latinos, but the people being classified as White now are unmistakably black in many cases.
184 184  
185 -== ==
118 +== **Challenges to the Mainstream View** {{id name="challenges-to-the-mainstream-view"/}} ==
186 186  
120 +This section allows for alternative explanations or critiques of mainstream narratives.
121 +
187 187  === **Alternative Explanations** {{id name="alternative-explanations"/}} ===
188 188  
189 189  The large crime disparities can be explained in a few ways that are far more plausible than White racism.
... ... @@ -197,11 +197,24 @@
197 197  
198 198  === **Critiques of Mainstream Theories** {{id name="critiques-of-mainstream-theories"/}} ===
199 199  
200 -There are many issues with the modern justifications given for black crime rates. These crime rate disparities exist all over the world, without exception. If the historical legacy of slavery was so impactful and crippling you would expect to see America to be unique in its disproportionate rape, murder, and violence committed by blacks but that isn’t the case. The same occurs when blacks are a significant population everywhere in the world. The impact of slavery also holds little connection to the modern day. Blacks aren’t suffering from crippling social exclusion or shame about their past. Rather they are given free reign to inflict whatever violence they wish on the White population without fear of hate crime laws, [[excessive sentencing>>doc:Main Categories.Crime & Justice.Sentencing Disparities.WebHome]], collective shame or guilt, or even impact on their future career prospects.
135 +There are many issues with the modern justifications given for black crime rates. These crime rate disparities exist all over the world, without exception. If the historical legacy of slavery was so impactful and crippling you would expect to see America to be unique in its disproportionate rape, murder, and violence committed by blacks but that isn’t the case. The same occurs when blacks are a significant population everywhere in the world.
201 201  
137 +The impact of slavery also holds little connection to the modern day. Blacks aren’t suffering from crippling social exclusion or shame about their past. Rather they are given free reign to inflict whatever violence they wish on the White population without fear of hate crime laws, [[excessive sentencing>>doc:Main Categories.Crime & Justice.Sentencing Disparities.WebHome]], collective shame or guilt, or even impact on their future career prospects.
202 202  
139 +
203 203  ----
204 204  
142 +
143 +----
144 +
145 +**[Add Your Evidence Here]**
146 +
147 +
148 +----
149 +
150 +
151 +----
152 +
205 205  {{autogallery/}}
206 206  
207 207  Foreign nationals are far more likely to commit sex offences than indigenous Britons by a massive margin. Stop immigration, protect our girls!
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