Changes for page Blacks counted as White

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14	14	(((
15	15	(% class="col-xs-12 col-sm-8" %)
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17		-~= Texas Sex Offender Registry Race/Ethnicity Audit =
18		-~{~{anchor name="texas-sex-offender-registry-race-ethnicity-audit"/}}
	17	+{{toc/}}
19	19
20		-~== Overview ==
21		-On ~*~*September 9, 2023~*~*, Unbiased Crime Report (@UnbiasedCrime) published an in-depth analysis of the Texas Department of Public Safety’s sex offender registry, focusing on race and ethnicity misclassifications. The thread examines a database of 101,976 registrants and highlights systemic data errors that misrepresent non-White offenders as White.
	19	+= Texas Sex Offender Registry Race/Ethnicity Audit =
22	22
23		-~== Data Collection ==
24		-~1. Downloaded the full Texas Sex Offender Registry: ~*~*101,976~*~* entries.
25		-2. Queried the database to flag potential mismatches between surnames, self-reported race/ethnicity, and demographic patterns.
	21	+
	22	+== Overview ==
	23	+
	24	+ On **September 9, 2023**, Unbiased Crime Report (@UnbiasedCrime){{footnote}} https://x.com/UnbiasedCrime{{/footnote}} published an in-depth analysis of the Texas Department of Public Safety’s sex offender registry, focusing on race and ethnicity misclassifications. The thread examines a database of 101,976 registrants and highlights systemic data errors that misrepresent non-White offenders as White.{{footnote}} https://threadreaderapp.com/thread/1700341490206310416{{/footnote}}
	25	+
	26	+== Data Collection ==
	27	+
	28	+ ~1. Downloaded the full Texas Sex Offender Registry: **101,976** entries.
	29	+2. Queried the database to flag potential mismatches between surnames, self-reported race/ethnicity, and demographic patterns.
26	26	3. Used custom scripts to compute initial accuracy metrics.
27	27
28		-~== Key Findings ==
29		-~1. ~*~*Raw Misclassification Counts~*~*
30		- ~* Hispanics flagged as “Non-Hispanic White”: ~*~*11,541~*~*
31		- ~* Blacks flagged as White: ~*~*92~*~*
32		- ~* Asians flagged as White: ~*~*34~*~*
33		- ~* Whites flagged as Black: ~*~*1~*~*
	32	+== Key Findings ==
34	34
35		-2. ~*~*Accuracy Metrics~*~*
36		- ~* Initial accuracy: ~*~*89.48 %~*~*.
37		- ~* After manual verification: ~*~*92.27 %~*~*.
38		- ~* Remaining false positives to review: ~*~*2,590~*~*.
	34	+ ~1. **Raw Misclassification Counts**
	35	+~* Hispanics flagged as “Non-Hispanic White”: **11,541**
	36	+~* Blacks flagged as White: **92**
	37	+~* Asians flagged as White: **34**
	38	+~* Whites flagged as Black: **1**
39	39
40		-3. ~*~*Notable Examples~*~*
41		- ~* Clusters of “Hernandez” surnames incorrectly marked as White.
42		- ~* ~*~*Dequan~*~*, a documented Black offender, listed as “Non-Hispanic White.”
43		- ~* ~*~*Louby Innocent~*~*, originally marked Black in Florida, appeared as White in Texas.
	40	+1. **Accuracy Metrics**
	41	+1*. Initial accuracy: **89.48 %**.
	42	+1*. After manual verification: **92.27 %**.
	43	+1*. Remaining false positives to review: **2,590**.
	44	+1. **Notable Examples**
	45	+1*. Clusters of “Hernandez” surnames incorrectly marked as White.
	46	+1*. **Dequan**, a documented Black offender, listed as “Non-Hispanic White.”
	47	+1*. **Louby Innocent**, originally marked Black in Florida, appeared as White in Texas.
44	44
45		-~== Methodology ==
46		-~1. Automated surname-based queries to generate candidate mismatches.
47		-2. Manual review of flagged entries by cross-referencing public DPS records.
	49	+== Methodology ==
	50	+
	51	+ ~1. Automated surname-based queries to generate candidate mismatches.
	52	+2. Manual review of flagged entries by cross-referencing public DPS records.
48	48	3. Iterative re-runs to refine the matching algorithm and reduce false positives.
49	49
50		-~== Impact and Next Steps ==
51		-~1. Archived original registry entries to preserve evidence before corrections.
52		-2. Planned release of a comprehensive spreadsheet with all verified entries and source links.
	55	+== Impact and Next Steps ==
	56	+
	57	+ ~1. Archived original registry entries to preserve evidence before corrections.
	58	+2. Planned release of a comprehensive spreadsheet with all verified entries and source links.
53	53	3. Recommendation: Texas DPS should implement routine data audits to ensure accurate race/ethnicity reporting.
54	54
55		-~== References ==
56		-~{~{footnote reference="1"}}Unbiased Crime Report (@UnbiasedCrime). “Texas Sex Offender Registry Analysis!” Twitter thread, Sep 9, 2023. Available at ~[~[Thread Reader App>>https:~/~/threadreaderapp.com/thread/1700341490206310416]]~{~{/footnote}}
57		-~{~{footnote reference="2"}}Texas Department of Public Safety. “Sex Offender Registry.” Available at ~[~[DPS Public Site>>https:~/~/publicsite.dps.texas.gov/SexOffenderRegistry]]~{~{/footnote}}
	61	+== References ==
58	58
59		-~{~{footnotes/}}
	63	+
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61	61	)))
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72	72	(% class="col-xs-12 col-sm-4" %)
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74	74	{{box title="**Contents**"}}
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84	84	//Figure 2: [[Archived Examples>>attach:blacks counted as white[Injustice_ ethnicity_ image_ images_ non-hispanic_ race_ texas_ white].jpg]]//
85	85	)))
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	93	+{{putFootnotes/}}