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		-{{toc/}}
	17	+~= Texas Sex Offender Registry Race/Ethnicity Audit =
	18	+~{~{anchor name="texas-sex-offender-registry-race-ethnicity-audit"/}}
18	18
19		-= Texas Sex Offender Registry Race/Ethnicity Audit =
	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.
20	20
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.
	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.
30	30	3. Used custom scripts to compute initial accuracy metrics.
31	31
32		-== Key Findings ==
	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~*~*
33	33
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**
	35	+2. ~*~*Accuracy Metrics~*~*
	36	+ ~* Initial accuracy: ~*~*89.48 %~*~*.
	37	+ ~* After manual verification: ~*~*92.27 %~*~*.
	38	+ ~* Remaining false positives to review: ~*~*2,590~*~*.
39	39
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.
	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.
48	48
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.
	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.
53	53	3. Iterative re-runs to refine the matching algorithm and reduce false positives.
54	54
55		-
56		-== Scope ==
57		-
58		-This phenomena was not isolated to a single department. Most of the initial reporting was discovered in Texas {{footnote}}https://archive.ph/publicsite.dps.texas.gov{{/footnote}}, but later investigations were shown to exist in Florida{{footnote}} https://x.com/UnbiasedCrime/status/1707208951417454694{{/footnote}}  and New York{{footnote}} https://x.com/UnbiasedCrime/status/1707208951417454694{{/footnote}}. The total number of incidents and number still uncorrected and number of additional incidents is not clear at this time, but as this was not a one off incident, it's safe to assume that this is as of now a still growing problem.
59		-
60		-== Impact and Next Steps ==
61		-
62		- ~1. Archived original registry entries to preserve evidence before corrections.
63		-2. Planned release of a comprehensive spreadsheet with all verified entries and source links.
	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.
64	64	3. Recommendation: Texas DPS should implement routine data audits to ensure accurate race/ethnicity reporting.
65	65
	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}}
66	66
67		-== References ==
68		-
	59	+~{~{footnotes/}}
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81		-
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83	83	(% class="col-xs-12 col-sm-4" %)
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85	85	{{box title="**Contents**"}}
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95	95	//Figure 2: [[Archived Examples>>attach:blacks counted as white[Injustice_ ethnicity_ image_ images_ non-hispanic_ race_ texas_ white].jpg]]//
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99		-{{putFootnotes/}}