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Changes for page Black Crime

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

From version 60.3
edited by Ryan C
on 2025/06/26 02:04
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To version 45.2
edited by Ryan C
on 2025/06/25 23:05
Change comment: There is no comment for this version

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64 64  
65 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}}
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}}
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 and is hardly uncommon. It's standard practice when building a case to allow crimes to transpire as you build evidence.
68 68  
69 69  ----
70 70  
... ... @@ -74,137 +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}}
77 +Race, Sex, and Ethnicity of Victim by Race, Sex, and Ethnicity of Offender, 2023
78 +[Single victim/single offender]
78 78  
79 -[[image:1750922146171-994.png||height="747" width="926"]]
80 +== 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"]]
82 +|=Race of Victim |=Total |=White Offender |=Black or African American Offender |=Other Offender |=Unknown Offender
83 +|White |4,011 |3,102 |726 |71 |112
84 +|Black or African American |3,823 |324 |3,282 |18 |199
85 +|Other race¹ |292 |85 |51 |147 |9
86 +|Unknown race |235 |80 |76 |13 |66
82 82  
88 +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\%
91 +----
88 88  
89 -{{/formula}}
93 +== Sex of Victim by Sex and Race of Offender {{id name="sex-of-victim-by-sex-and-race-of-offender"/}} ==
90 90  
95 +|=Sex of Victim |=Total |=White Offender |=Black or African American Offender |=Other Offender |=Unknown Offender |=Male Offender |=Female Offender |=Unknown Sex Offender
96 +|Male |6,042 |2,386 |3,184 |160 |312 |5,335 |589 |118
97 +|Female |2,297 |1,196 |941 |87 |73 |2,045 |226 |26
98 +|Unknown Sex |22 |9 |10 |2 |1 |18 |3 |1
91 91  
92 -I've also created a per capita macro that you can use to determine the rate for a group by itself:
100 +----
93 93  
94 -{{percapita groupAName="White" groupACount="290" groupAPopulation="191000000"}}{{/percapita}}
102 +== Ethnicity of Victim by Race and Ethnicity of Offender {{id name="ethnicity-of-victim-by-race-and-ethnicity-of-offender"/}} ==
95 95  
96 -Or display a comparison between 2 groups:
104 +|=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
105 +|Hispanic or Latino |1,184 |860 |221 |20 |83 |715 |300 |96
106 +|Not Hispanic or Latino |5,113 |1,814 |2,965 |142 |192 |279 |3,757 |606
107 +|Unknown |705 |284 |349 |29 |43 |50 |271 |332
97 97  
98 -{{percapita groupAName="White" groupACount="992347" groupAPopulation="191000000" groupBName="Black" groupBCount="657935" groupBPopulation="41000000"}}{{/percapita}}
99 -
100 100  ----
101 101  
102 -**For crimes against persons:**
111 +**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.
103 103  
104 -{{percapita groupAName="White" groupACount="992347" groupAPopulation="191000000" groupBName="Black" groupBCount="657935" groupBPopulation="41000000"}}{{/percapita}}
105 105  
106 -**For assault offenses:**
107 -
108 -{{percapita groupAName="White" groupACount="902499" groupAPopulation="191000000" groupBName="Black" groupBCount="615467" groupBPopulation="41000000"}}{{/percapita}}
109 -
110 -**For homicide offenses:**
111 -
112 -{{percapita groupAName="White" groupACount="3432" groupAPopulation="191000000" groupBName="Black" groupBCount="4157" groupBPopulation="41000000"}}{{/percapita}}
113 -
114 -**For human trafficking offenses:**
115 -
116 -{{percapita groupAName="White" groupACount="620" groupAPopulation="191000000" groupBName="Black" groupBCount="570" groupBPopulation="41000000"}}{{/percapita}}
117 -
118 -**For kidnapping/abduction:**
119 -
120 -{{percapita groupAName="White" groupACount="14679" groupAPopulation="191000000" groupBName="Black" groupBCount="9184" groupBPopulation="41000000"}}{{/percapita}}
121 -
122 -**For sex offenses:**
123 -
124 -{{percapita groupAName="White" groupACount="71117" groupAPopulation="191000000" groupBName="Black" groupBCount="28557" groupBPopulation="41000000"}}{{/percapita}}
125 -
126 -**For crimes against property:**
127 -
128 -{{percapita groupAName="White" groupACount="1393471" groupAPopulation="191000000" groupBName="Black" groupBCount="861741" groupBPopulation="41000000"}}{{/percapita}}
129 -
130 -**For arson:**
131 -
132 -{{percapita groupAName="White" groupACount="5869" groupAPopulation="191000000" groupBName="Black" groupBCount="2483" groupBPopulation="41000000"}}{{/percapita}}
133 -
134 -**For bribery:**
135 -
136 -{{percapita groupAName="White" groupACount="477" groupAPopulation="191000000" groupBName="Black" groupBCount="112" groupBPopulation="41000000"}}{{/percapita}}
137 -
138 -**For burglary/breaking & entering:**
139 -
140 -{{percapita groupAName="White" groupACount="128679" groupAPopulation="191000000" groupBName="Black" groupBCount="68829" groupBPopulation="41000000"}}{{/percapita}}
141 -
142 -**For counterfeiting/forgery:**
143 -
144 -{{percapita groupAName="White" groupACount="51063" groupAPopulation="191000000" groupBName="Black" groupBCount="25072" groupBPopulation="41000000"}}{{/percapita}}
145 -
146 -**For destruction/damage/vandalism:**
147 -
148 -{{percapita groupAName="White" groupACount="235283" groupAPopulation="191000000" groupBName="Black" groupBCount="144715" groupBPopulation="41000000"}}{{/percapita}}
149 -
150 -**For embezzlement:**
151 -
152 -{{percapita groupAName="White" groupACount="14359" groupAPopulation="191000000" groupBName="Black" groupBCount="8882" groupBPopulation="41000000"}}{{/percapita}}
153 -
154 -**For extortion/blackmail:**
155 -
156 -{{percapita groupAName="White" groupACount="1673" groupAPopulation="191000000" groupBName="Black" groupBCount="606" groupBPopulation="41000000"}}{{/percapita}}
157 -
158 -**For fraud offenses:**
159 -
160 -{{percapita groupAName="White" groupACount="132636" groupAPopulation="191000000" groupBName="Black" groupBCount="69843" groupBPopulation="41000000"}}{{/percapita}}
161 -
162 -**For larceny/theft offenses:**
163 -
164 -{{percapita groupAName="White" groupACount="661215" groupAPopulation="191000000" groupBName="Black" groupBCount="391874" groupBPopulation="41000000"}}{{/percapita}}
165 -
166 -**For motor vehicle theft:**
167 -
168 -{{percapita groupAName="White" groupACount="80284" groupAPopulation="191000000" groupBName="Black" groupBCount="41672" groupBPopulation="41000000"}}{{/percapita}}
169 -
170 -**For robbery:**
171 -
172 -{{percapita groupAName="White" groupACount="38104" groupAPopulation="191000000" groupBName="Black" groupBCount="84006" groupBPopulation="41000000"}}{{/percapita}}
173 -
174 -**For stolen property offenses:**
175 -
176 -{{percapita groupAName="White" groupACount="43829" groupAPopulation="191000000" groupBName="Black" groupBCount="23647" groupBPopulation="41000000"}}{{/percapita}}
177 -
178 -**For crimes against society:**
179 -
180 -{{percapita groupAName="White" groupACount="1011897" groupAPopulation="191000000" groupBName="Black" groupBCount="409325" groupBPopulation="41000000"}}{{/percapita}}
181 -
182 -**For animal cruelty:**
183 -
184 -{{percapita groupAName="White" groupACount="5917" groupAPopulation="191000000" groupBName="Black" groupBCount="2134" groupBPopulation="41000000"}}{{/percapita}}
185 -
186 -**For drug/narcotic offenses:**
187 -
188 -{{percapita groupAName="White" groupACount="908206" groupAPopulation="191000000" groupBName="Black" groupBCount="326886" groupBPopulation="41000000"}}{{/percapita}}
189 -
190 -**For gambling offenses:**
191 -
192 -{{percapita groupAName="White" groupACount="763" groupAPopulation="191000000" groupBName="Black" groupBCount="563" groupBPopulation="41000000"}}{{/percapita}}
193 -
194 -**For pornography/obscene material:**
195 -
196 -{{percapita groupAName="White" groupACount="12877" groupAPopulation="191000000" groupBName="Black" groupBCount="3629" groupBPopulation="41000000"}}{{/percapita}}
197 -
198 -**For prostitution offenses:**
199 -
200 -{{percapita groupAName="White" groupACount="6747" groupAPopulation="191000000" groupBName="Black" groupBCount="4698" groupBPopulation="41000000"}}{{/percapita}}
201 -
202 -**For weapon law violations:**
203 -
204 -{{percapita groupAName="White" groupACount="77387" groupAPopulation="191000000" groupBName="Black" groupBCount="71415" groupBPopulation="41000000"}}{{/percapita}}
205 -
206 -
207 -
208 208  ----
209 209  
210 210  == **The numbers are worse than you think**. {{id name="the-numbers-are-worse-than-you-think."/}} ==
... ... @@ -211,8 +211,10 @@
211 211  
212 212  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.
213 213  
214 -== ==
120 +== **Challenges to the Mainstream View** {{id name="challenges-to-the-mainstream-view"/}} ==
215 215  
122 +This section allows for alternative explanations or critiques of mainstream narratives.
123 +
216 216  === **Alternative Explanations** {{id name="alternative-explanations"/}} ===
217 217  
218 218  The large crime disparities can be explained in a few ways that are far more plausible than White racism.
... ... @@ -226,11 +226,24 @@
226 226  
227 227  === **Critiques of Mainstream Theories** {{id name="critiques-of-mainstream-theories"/}} ===
228 228  
229 -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.
137 +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.
230 230  
139 +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.
231 231  
141 +
232 232  ----
233 233  
144 +
145 +----
146 +
147 +**[Add Your Evidence Here]**
148 +
149 +
150 +----
151 +
152 +
153 +----
154 +
234 234  {{autogallery/}}
235 235  
236 236  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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