While the concentration camps and violence at the border are in the news, the less visible, massive number of deportations from areas away from the border explodes.
The racism is glaring. Unable to forgive Obama for having had the audacity of being black while President, Trump was also horrified by reports, amplified by Fox News, of the caravan of Latinos heading North.
Marketed as “border security” or defense against crime, Trump is attempting to racially cleanse the country of all but the descendants of white Europeans.
While most were shocked by the photo of a mother running with her children to escape gas, Trump’s reaction, thinking Secretary of Homeland Security Kirstjen Nielsen had ordered the attack, said to her “You’re being really tough. I had no idea you had this in you.”
Changing The Law
He first attempted to prevent Moslems from entering the country, for any reason, by executive order. This attempt failed as it created protests and pandemonium at airports and was declared illegal.
He then tried to place asylum seekers in concentration camps, separate children, and “zero tolerance” to terrorize people into not immigrating. While this did accomplish much terror and traumatized children and parents, it placed a large strain on ICE and Homeland Security and did not do much to reduce immigration. Besides, the optics were bad. This outrage, however, continues though with a lowered profile.
From a New York Times report by Jason Zengerle dated July 16, 2019;
The US has separated nearly 1,000 migrant children arriving at the nation’s southern border from their families despite a federal judge demanding Donald Trump ’s administration curtail the practice last year.
In 2012 the Obama administration deported 410,000 people while Trump had lately deported “only” 256,000. From the same New York Times article:
But part of the spike he oversaw was an accounting trick: Near the Southern border, migrants caught trying to cross were increasingly subject to formal removal proceedings (and thus officially counted in statistics), a change from previous administrations.
While Obama went only after those who had committed serious crimes, Trump is now determined to also go after those who have entered the country illegally, “illegally” now redefined as crossing the border and asking for asylum in spite of obligations under international conventions, Millions will be targeted.
One of Trump’s first acts as president was to throw out his predecessor’s priority list. He issued Executive Order 13768 , “Enhancing Public Safety in the Interior of the United States,” on his sixth day in office. “We cannot faithfully execute the immigration laws of the United States,” the order reads, “if we exempt classes or categories of removable aliens from potential enforcement.” Data once used to focus on prioritized groups could now, in theory, be used against anyone, and individual officers now had a freer hand to pursue their own priorities. The results were predictable: Both the percentage and sheer number of arrests by ICE of people without criminal convictions shot upward. There were 58,010 such arrests during the administration’s first 14 months, according to an analysis by NBC News — nearly three times as many as during the preceding 14 months. Statistics compiled by Syracuse University’s Transactional Records Access Clearinghouse , meanwhile, show a significant rise in immigration cases involving long-term residents. (Zengerle, J. (2019, October 2). How ICE Picks Its Targets in the Surveillance Age. New York Times.)
“Big Data” for deportations
At D.H.S., after much personnel turnover and turmoil, Trump no longer needs to cope with pushback from various officials resisting his policies. He is now surrounded by extreme ideologues in the mold of Stephen Miller.
Rather than large headline generating raids and impressive but useless walls, he will use quiet but continual attacks on individuals enabled by “big data”.
Big Data’s invasiveness, as Edward Snowden, in his new book Permanent Record, notes:
It was, simply put, the closest thing to science fiction I’ve ever seen in science fact: and interface that allows you to type in pretty much anyone’s address, telephone number, or IP address, and then basically go through the recent history of their on line activity. In some cases you could even play back recordings of their on line sessions, so that the screen you’d be looking at was their screen, whatever was on their desktop.
In a Oct. 2, 2019 New York Times report,
Combining law enforcement data, DNA, immigration, and whatever else they can find such as traffic and vehicle data, facial recognition, school records, and benefit claims data, the middle of the night door knock will become even more common and frightening.
Millions of people and families, many of who have been here for years, have never broken the law, raised children, and built lives as respected members of society, will be targeted.
With the resources the Division of Homeland Security now almost entirely devoted to expelling “illegal aliens”, more legitimate concerns regarding terrorism and possible acts by hostile states will no longer matter.
Sample of Firms supplying “Big Bata” to DHS
Giant Oak , Arlington VA 22201 https://www.giantoak.com. Suppliers of GOST software. (Quotes from Giant Oak web site)
GOST builds on the capabilities of commercial search engines to return publicly available electronic information (PAEI) and can flexibly incorporate results from Google, Bing, or other search engines as required.
GOST can “scan thousands of people in a matter of minutes.”
GOST can “a dossier on each individual with everything you need to know, such as web page images and keywords already highlighted.”
Thompson Reuters , Offices worlwide, https://www.thomsonreuters.com/en.html , Suppliers of CLEAR software with the following capabilities (from their Web site).
Live cell phone records
Billions of cell phone, landline, TracFone, business, and VoIP records delivered in real-time ensure your phone searches bring back comprehensive results.
License plate recognition
Live access to more than 7 billion license plate detections from Vigilant Solutions® to make data-driven connections, to enhance and accelerate your investigations.
Real-time incarceration and arrest gateway
Real-time booking information from more than 2,200 facilities and from the most complete network of 90 million historical arrest records and intake photos.
Palantir , Offices worldwide, https://www.palantir.com/
Tapping databases of driver’s license and ID photos, law enforcement agencies can now identify more than half the population of U.S. adults.
To widen the scope of possible connections, she adds, the LAPD has also explored purchasing private data, including social media, foreclosure, and toll road information, camera feeds from hospitals, parking lots, and universities, and delivery information from Papa John’s International Inc. and Pizza Hut LLC.
Notice to people of Latino descent: Be careful when you order pizza.
Vigilant Solutions, Livermore, CA, https://www.vigilantsolutions.com/ from their web site.
Vigilant solutions license plate recognition (LPR) tool helps agencies develop more leads and solve more cases.
All of the data and analytics received for LPR detection across the nation are housed in Vigilant’s cloud.
Whether you have a partial of full reading of a plate, Platesearch can help you develop leads to solve cases.
Vigilant solutions facial recognition tool provides preprocessing capabilities and analyzes faces to convert images, both high and poor quality, into suitable probe images for searching.
Compare your images against Vigilant’s gallery, which currently houses over 15 million images, start developing leads and solving more cases with Facesearch.
Babelstreet , Reston VA https: //www.babelstreet.com/ Note that users can scan for “sentiment”, that is, opinions.
Babel X® is a multi-lingual, geo-enabled, text-analytics, social media and web-monitoring platform designed to meet the needs of our customers by fully leveraging publicly available information in this era of overwhelming quantities of geographically diverse, multi-lingual data.
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