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Changes for page Blacks counted as White

Last modified by Ryan C on 2025/06/30 16:11
From version 14.1
edited by Ryan C
on 2025/04/24 11:32
Change comment: There is no comment for this version
To version 13.1
edited by Ryan C
on 2025/04/24 08:15
Change comment: There is no comment for this version

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14 14  (((
15 15  (% class="col-xs-12 col-sm-8" %)
16 16  (((
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 = {{anchor name=“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 -== Overview == 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.
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.
26 +3. Used custom scripts to compute initial accuracy metrics.
22 22  
23 -== Data Collection == 1. Downloaded the full Texas Sex Offender Registry: **101,976** entries.\\2. Queried the database to flag potential mismatches between surnames, self-reported race/ethnicity, and demographic patterns.\\3. Used custom scripts to compute initial accuracy metrics.
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~*~*
24 24  
25 -== Key Findings == 1. **Raw Misclassification Counts**\\* Hispanics flagged as “Non-Hispanic White”: **11,541**\\* Blacks flagged as White: **92**\\* Asians flagged as White: **34**\\* 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~*~*.
26 26  
27 -1. **Accuracy Metrics**
28 -1*. Initial accuracy: **89.48 %**.\\
29 -1*. After manual verification: **92.27 %**.\\
30 -1*. Remaining false positives to review: **2,590**.
31 -1. **Notable Examples**
32 -1*. Clusters of “Hernandez” surnames incorrectly marked as White.\\
33 -1*. **Dequan**, a documented Black offender, listed as “Non-Hispanic White.”\\
34 -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.
35 35  
36 -== Methodology == 1. Automated surname-based queries to generate candidate mismatches.\\2. Manual review of flagged entries by cross-referencing public DPS records.\\3. Iterative re-runs to refine the matching algorithm and reduce false positives.
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.
48 +3. Iterative re-runs to refine the matching algorithm and reduce false positives.
37 37  
38 -== Impact and Next Steps == 1. Archived original registry entries to preserve evidence before corrections.\\2. Planned release of a comprehensive spreadsheet with all verified entries and source links.\\3. Recommendation: Texas DPS should implement routine data audits to ensure accurate race/ethnicity reporting.
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.
53 +3. Recommendation: Texas DPS should implement routine data audits to ensure accurate race/ethnicity reporting.
39 39  
40 -== References == {{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}}\\{{footnote reference=“2”}}Texas Department of Public Safety. “Sex Offender Registry.” Available at [[DPS Public Site>>https:~/~/publicsite.dps.texas.gov/SexOffenderRegistry]]{{/footnote}}
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}}
41 41  
42 -{{footnotes/}}
59 +~{~{footnotes/}}
60 +
43 43  )))
44 44  
45 45