Changes for page Blacks counted as White
Last modified by Ryan C on 2025/06/30 16:11
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... ... @@ -1,1 +1,0 @@ 1 -Blacks counted as White - Parent
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... ... @@ -1,1 +1,0 @@ 1 -Main Categories.Crime & Justice.WebHome - Content
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... ... @@ -1,91 +1,0 @@ 1 -(% class="jumbotron" %) 2 -((( 3 -(% class="container" %) 4 -((( 5 -= Blacks Counted as White in Crime Stats = 6 - 7 -[[image:20240605212514.jpg]] 8 - 9 - 10 -))) 11 -))) 12 - 13 -(% class="row" %) 14 -((( 15 -(% class="col-xs-12 col-sm-8" %) 16 -((( 17 -{{toc/}} 18 - 19 -= Texas Sex Offender Registry Race/Ethnicity Audit = 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. 30 -3. Used custom scripts to compute initial accuracy metrics. 31 - 32 -== Key Findings == 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** 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. 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. 53 -3. Iterative re-runs to refine the matching algorithm and reduce false positives. 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. 64 -3. Recommendation: Texas DPS should implement routine data audits to ensure accurate race/ethnicity reporting. 65 - 66 - 67 -== References == 68 - 69 - 70 -))) 71 - 72 - 73 - 74 - 75 -(% class="col-xs-12 col-sm-4" %) 76 -((( 77 -{{box title="**Contents**"}} 78 -{{toc/}} 79 -{{/box}} 80 - 81 -[[Sex offender statistics comparison before and after nonwhites were correctly switched to their respective races.>>image:comparison.png||alt="image1.jpg"]] 82 - 83 - 84 -//Figure 1: [[Comparison>>attach:1000000503.jpg]]// 85 - 86 -[[image:blacks_counted_as_white_Injustice__ethnicity__image__images__non-hispanic__race__texas__white_.jpg||alt="image2.jpg"]] 87 -//Figure 2: [[Archived Examples>>attach:blacks_counted_as_white_Injustice__ethnicity__image__images__non-hispanic__race__texas__white_.jpg]]// 88 -))) 89 -))) 90 - 91 -{{putFootnotes/}}
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