
{"id":800,"date":"2024-10-12T03:08:15","date_gmt":"2024-10-12T03:08:15","guid":{"rendered":"https:\/\/www.utjd.org\/news\/?p=800"},"modified":"2024-10-17T05:20:39","modified_gmt":"2024-10-17T05:20:39","slug":"no-one-is-safe-an-analysis-based-on-uyghur-transitional-justice-database","status":"publish","type":"post","link":"https:\/\/www.utjd.org\/news\/no-one-is-safe-an-analysis-based-on-uyghur-transitional-justice-database\/","title":{"rendered":"No one is safe: An analysis based on the Uyghur Transitional Justice Database"},"content":{"rendered":"\n<p class=\"has-text-align-center wp-block-paragraph\"><strong><em>The following analysis is based on the data provided by the Uyghur Transitional Justice Database in the 2020 report, &#8220;The Persecution of Uyghurs in East Turkistan&#8221;.<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">Basic composition of our dataset on internees is as follows:&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>243<\/strong> or <strong>15.4%<\/strong> are female, <strong>1,337<\/strong> or <strong>84.6%<\/strong> are male, <strong>13<\/strong> unclear <strong>(1,593 in total)<\/strong>&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-center\" data-align=\"center\">Profession<\/th><th class=\"has-text-align-center\" data-align=\"center\">Number<\/th><th class=\"has-text-align-center\" data-align=\"center\">Ratio<\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Actor\/Actress<\/td><td class=\"has-text-align-center\" data-align=\"center\">18<\/td><td class=\"has-text-align-center\" data-align=\"center\">3.52%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Architect<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Astronomer<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Writer<\/td><td class=\"has-text-align-center\" data-align=\"center\">13<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.54%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Butcher<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Chef\/Cook<\/td><td class=\"has-text-align-center\" data-align=\"center\">3<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.59%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Designer<\/td><td class=\"has-text-align-center\" data-align=\"center\">5<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.98%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Doctor<\/td><td class=\"has-text-align-center\" data-align=\"center\">19<\/td><td class=\"has-text-align-center\" data-align=\"center\">3.71%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Engineer<\/td><td class=\"has-text-align-center\" data-align=\"center\">11<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.15%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Factory worker<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Farmer<\/td><td class=\"has-text-align-center\" data-align=\"center\">19<\/td><td class=\"has-text-align-center\" data-align=\"center\">3.71%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Hairdresser<\/td><td class=\"has-text-align-center\" data-align=\"center\">3<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.59%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Journalist<\/td><td class=\"has-text-align-center\" data-align=\"center\">8<\/td><td class=\"has-text-align-center\" data-align=\"center\">1.56%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Lawyer<\/td><td class=\"has-text-align-center\" data-align=\"center\">6<\/td><td class=\"has-text-align-center\" data-align=\"center\">1.17%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Lecturer<\/td><td class=\"has-text-align-center\" data-align=\"center\">6<\/td><td class=\"has-text-align-center\" data-align=\"center\">1.17%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Librarian<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.39%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Nurse&nbsp;<\/td><td class=\"has-text-align-center\" data-align=\"center\">3<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.59%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Pharmacist&nbsp;<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Photographer<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.39%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Police Officer<\/td><td class=\"has-text-align-center\" data-align=\"center\">6<\/td><td class=\"has-text-align-center\" data-align=\"center\">1.17%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Realtor<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Scientist<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Secretary<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Tailor<\/td><td class=\"has-text-align-center\" data-align=\"center\">3<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.59%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Taxi-driver<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.39%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Teacher<\/td><td class=\"has-text-align-center\" data-align=\"center\">68<\/td><td class=\"has-text-align-center\" data-align=\"center\">13.28%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Bookkeeper<\/td><td class=\"has-text-align-center\" data-align=\"center\">5<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.98%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Businessperson<\/td><td class=\"has-text-align-center\" data-align=\"center\">52<\/td><td class=\"has-text-align-center\" data-align=\"center\">10.16%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Civil Servant<\/td><td class=\"has-text-align-center\" data-align=\"center\">20<\/td><td class=\"has-text-align-center\" data-align=\"center\">3.91%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Craftsman<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Editor<\/td><td class=\"has-text-align-center\" data-align=\"center\">44<\/td><td class=\"has-text-align-center\" data-align=\"center\">8.59<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Newly Graduated<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.20%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">In the Judiciary<\/td><td class=\"has-text-align-center\" data-align=\"center\">5<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.98%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Linguist<\/td><td class=\"has-text-align-center\" data-align=\"center\">3<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.59%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Head of a Department (under a provincial<br>government)<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.39%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Poet<\/td><td class=\"has-text-align-center\" data-align=\"center\">14<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.73%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Professor<\/td><td class=\"has-text-align-center\" data-align=\"center\">18<\/td><td class=\"has-text-align-center\" data-align=\"center\">3.52%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Clergyman<\/td><td class=\"has-text-align-center\" data-align=\"center\">22<\/td><td class=\"has-text-align-center\" data-align=\"center\">4.30%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Researcher<\/td><td class=\"has-text-align-center\" data-align=\"center\">12<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.34%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Sportsman<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.39%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Student<\/td><td class=\"has-text-align-center\" data-align=\"center\">99<\/td><td class=\"has-text-align-center\" data-align=\"center\">19.34%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Village Communist Cadre<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.39%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Webmaster<\/td><td class=\"has-text-align-center\" data-align=\"center\">5<\/td><td class=\"has-text-align-center\" data-align=\"center\">0.98%<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Total<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>512<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>100.00%<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<!--more-->\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-center\" data-align=\"center\"><strong>Educational Background<\/strong><\/th><th class=\"has-text-align-center\" data-align=\"center\"><strong>Number<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Bachelor\u2019s Degree<\/td><td class=\"has-text-align-center\" data-align=\"center\">298<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Junior College for Professional Training (\u2f24\u4e13)<\/td><td class=\"has-text-align-center\" data-align=\"center\">8<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">High School<\/td><td class=\"has-text-align-center\" data-align=\"center\">76<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Master\u2019s Degree<\/td><td class=\"has-text-align-center\" data-align=\"center\">7<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Middle School<\/td><td class=\"has-text-align-center\" data-align=\"center\">98<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">No education<\/td><td class=\"has-text-align-center\" data-align=\"center\">10<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">PhD<\/td><td class=\"has-text-align-center\" data-align=\"center\">20<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Primary School<\/td><td class=\"has-text-align-center\" data-align=\"center\">54<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Professor<\/td><td class=\"has-text-align-center\" data-align=\"center\">16<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Total<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>587<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">As illustrated in the above tables, <strong>162<\/strong> have either primary\/middle school education or no&nbsp; education at all, while over <strong>300<\/strong> have a university degree. However, it may not be a representative&nbsp; sample since the educational background is known for only<strong> 1\/3<\/strong> of the entire dataset.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The average age for females is <strong>44<\/strong>, for males <strong>38.3<\/strong>, and for the whole dataset is<strong> 39<\/strong>, though we&nbsp; only managed to procure the age info of <strong>1,017<\/strong> of the total <strong>1,593<\/strong> people.&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"680\" data-id=\"797\" src=\"https:\/\/www.utjd.org\/news\/wp-content\/uploads\/2024\/10\/diagram-1024x680.jpg\" alt=\"\" class=\"wp-image-797\" srcset=\"https:\/\/www.utjd.org\/news\/wp-content\/uploads\/2024\/10\/diagram-1024x680.jpg 1024w, https:\/\/www.utjd.org\/news\/wp-content\/uploads\/2024\/10\/diagram-300x199.jpg 300w, https:\/\/www.utjd.org\/news\/wp-content\/uploads\/2024\/10\/diagram-768x510.jpg 768w, https:\/\/www.utjd.org\/news\/wp-content\/uploads\/2024\/10\/diagram.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">As listed above <strong>586<\/strong> or <strong>57.6%<\/strong> of the total dataset are aged <strong>35<\/strong> or above, which indicates that&nbsp; these internees are not in an age group that would normally receive job training in East Turkistan.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Regional distribution of the interned is as follows:&nbsp;&nbsp;<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-center\" data-align=\"center\">City<\/th><th class=\"has-text-align-center\" data-align=\"center\">Numbers Registered<\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Aqsu<\/td><td class=\"has-text-align-center\" data-align=\"center\">39<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Atush<\/td><td class=\"has-text-align-center\" data-align=\"center\">32<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Bortala<\/td><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Ghulja<\/td><td class=\"has-text-align-center\" data-align=\"center\">80<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Khotan<\/td><td class=\"has-text-align-center\" data-align=\"center\">31<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Korla<\/td><td class=\"has-text-align-center\" data-align=\"center\">26<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Qaramay<\/td><td class=\"has-text-align-center\" data-align=\"center\">9<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Kashgar<\/td><td class=\"has-text-align-center\" data-align=\"center\">136<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Qumul<\/td><td class=\"has-text-align-center\" data-align=\"center\">3<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Sanji<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Turpan<\/td><td class=\"has-text-align-center\" data-align=\"center\">28<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">\u00dcr\u00fcmchi<\/td><td class=\"has-text-align-center\" data-align=\"center\">193<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">n\/a<\/td><td class=\"has-text-align-center\" data-align=\"center\">1013<\/td><\/tr><\/tbody><tfoot><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Grand Total<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>1593<\/strong><\/td><\/tr><\/tfoot><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">In our collected data, only 1\/3 of the internees\u2019 place of internment was known, and given that&nbsp; the sampling of this dataset is not random, it may not represent the overall geographical&nbsp; internment pattern across East Turkistan. \u00dcr\u00fcmchi might have a higher representation simply&nbsp; because more data was collected concerning \u00dcr\u00fcmchi internees, which could be attributed to better&nbsp; communication, or maybe other confounding factors.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Of the <strong>1,503<\/strong> that were detained\/interned in <strong>2016<\/strong> or later (or for whom no date of arrest is&nbsp; known), only <strong>69<\/strong> are shown as released, although this is a variable where information is&nbsp; problematic, because detainees\/internees might be released without the knowledge of their&nbsp; relatives outside of China. Even if that were the case, the known rate of release is still very low <strong>(i.e.&nbsp; 4.6%)<\/strong>.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The religious status of the detainees\/internees is only known for about <strong>1\/3<\/strong> of them. Of the <strong>658&nbsp;<\/strong> for whom it is registered, <strong>54<\/strong> are shown as not practicing or not religious, <strong>532<\/strong> as practicing, and <strong>71<\/strong>&nbsp; as religious scholars. However, the exact meaning of \u201cpracticing\u201d is not well defined, and most&nbsp; Uyghurs might be categorized as such. Nevertheless, the share of religious scholars is quite high.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Of <strong>545<\/strong> for which Chinese language skills are shown, <strong>131<\/strong> are shown to have no or only basic&nbsp; skills, with about<strong> 1\/3<\/strong> or <strong>168<\/strong> being fluent. Clearly, the camps hold many people who either have a&nbsp; good education, or have good or exceptionally good Chinese language skills, or both.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With respect to the health condition, only <strong>379<\/strong> people have such data point registered, and most&nbsp; (299) of whom were healthy. This is likely to a degree dependent on age, given that not few in&nbsp; detention are elderly.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Overall, this dataset broadly confirms our existing knowledge that the camps do not primarily or&nbsp; only hold young people with little education or no jobs, but also substantial shares of people who&nbsp; are some or all of the below:&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Of middle or older age<\/li>\n\n\n\n<li>Well-educated<\/li>\n\n\n\n<li>Holding good jobs<\/li>\n\n\n\n<li>Speaking Chinese well&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Contrary to the propaganda images, the vast majority of detainees\/internees are men, often&nbsp; middle-aged. This is consistent with other data indicating that the Chinese regime\u2019s internment&nbsp; campaign has primarily targeted heads of households.&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>Source:&nbsp;<\/em><\/strong>\u201cThe persecution of Uyghurs in East Turkistan\u201d&nbsp;<strong><em>Authors:<\/em><\/strong>&nbsp;<em>Erkin K\u00e2inat; Adrian Zenz; Adiljan Abdurihim<\/em>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>Link:<\/em><\/strong>&nbsp;https:\/\/www.utjd.org\/register\/wp-content\/uploads\/2020\/09\/the_persecution_of_uyghurs_hard_copy.pdf<br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The following analysis is based on the data provided by the Uyghur Transitional Justice Database in the 2020 report, &#8220;The Persecution of Uyghurs in East [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":795,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[88,176,178],"tags":[],"class_list":["post-800","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-reports-en","category-statistics","category-persecution-of-uyghurs"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"The following analysis is based on the data provided by the Uyghur Transitional Justice Database in the 2020 report, &quot;The Persecution of Uyghurs in East Turkistan&quot;. Basic composition of our dataset on internees is as follows: 243 or 15.4% are female, 1,337 or 84.6% are male, 13 unclear (1,593 in total) As illustrated in the\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Sabina\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.utjd.org\/news\/no-one-is-safe-an-analysis-based-on-uyghur-transitional-justice-database\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.8\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"UTJD - Latest updates\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"No one is safe: An analysis based on the Uyghur Transitional Justice Database - UTJD\" \/>\n\t\t<meta property=\"og:description\" content=\"The following analysis is based on the data provided by the Uyghur Transitional Justice Database in the 2020 report, &quot;The Persecution of Uyghurs in East Turkistan&quot;. 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