Database Of Trump Quotes

we rely upon the voting populace to determine if a candidate’s intellectual abilities “measure up,” an inherently flawed system, as the populace has access only to prepackaged presentations and observations of a candidate in debates and while he or she is giving speeches—hardly an adequate database for accurately gauging intellectual ability.

And so, year after year, Mr. Trump appears to have lost more money than nearly any other individual taxpayer, according to the I.R.S. information on high earners—a publicly available database with taxpayers’ identifying details removed. Indeed, in 1990 and 1991, his core businesses lost more than $250 million each year—more than double those of the nearest taxpayers in the sampling for those years.2

Yes, but all that’s needed is to break reciprocity,” he answered. “By controlling information, making sure it flows one way. Take over the databases. Trump up panic situations, so the public will support paternalistic ‘protections.’ Make sure lots of privacy laws get passed, then bribe open some back doors, so elites can see it all anyway, and ‘privacy’ only protects them. “Of course there’s more to the program than that,” Hamish continued, gaining momentum. “The smarty-pants knowledge castes will see what’s happening and complain. So you propagandize a lot of populist resentment against the scientists and other professionals, calling them ‘smug elites.’ Finally … when the civil servants and techies have lost the public’s trust, just cut the other estates out of the information loop, take complete control over the cameras and government agencies and voilà! A tyranny that lasts millennia!

In the digital age, data was “the new oil.” Data collection was an “arms race,” he said. Cambridge Analytica had amassed an arsenal of data on the American public of unprecedented size and scope, the largest, as far as he knew, anyone had ever assembled. The company’s monster databases held between two thousand and five thousand individual data points (pieces of personal information) on every individual in the United States over the age of eighteen. That amounted to some 240 million people.

The term psychographics was created to describe the process by which we took in-house personality scoring and applied it to our massive database. Using analytic tools to understand individuals’ complex personalities, the psychologists then determined what motivated those individuals to act. Then the creative team tailored specific messages to those personality types in a process called “behavioral microtargeting.

The number one rule for any debate-prep team is to make sure the candidate isn’t hearing, seeing, or feeling anything for the first time when he or she steps into the ring with an opponent. Because Trump was liable to say or do just about anything, that was an even bigger focus for Hillary’s aides. Klain and Dunn had curated a database of all the questions that had ever been asked in general-election debates. “I don’t think she heard any questions for the first time,” said one participant who noted that a question Klain asked behind closed doors about a possible no-fly zone over Syria was repeated almost verbatim by moderator Chris Wallace in the third debate.

Following 9/11 there was the creation by the FBI of a Terrorist Screening Centre. It is a single database used by all government agencies to keep tabs on those who might reasonably be suspected of having links to extremist groups. If you are on the terror watch list, there are serious restrictions placed on your ability to move around. For example, you will be banned from all internal and international flights. But, astonishingly, you are still able to wander down to the local firearms dealer and buy yourself a gun. Being on the FBI list is not in itself sufficient grounds for being banned from buying a rifle. The renewed fears about the terror threat within

The first step was for field staff to get an absentee or early voting ballot to those them deemed pro-Trump because they scored a 90 or above on a call of 0 to 100 in the national database.

ACL - Accelerated Contact Linguistics - was, Scile told me, a speciality crossbred from pedagogics, receptivity, programming and cryptography. It was used by the scholar-explorers of Bremen's pioneer ships to effect very fast communication with indigenes they encountered or which encountered them. In the logs of those early journeys, the excitement of the ACLers is moving. On continents, on worlds vivid and drab, they record first moments of understanding with menageries of exots. Tactile languages, bioluminescent words, all varieties of sounds that organisms can make. Dialects comprehensible only as palimpsests of references to everything already said, or in which adjectives are rude and verbs unholy. I've seen the trid diary of an ACLer barricaded in his cabin, whose vessel has been boarded by what we didn't then know as Corscans - it was first contact. He's afraid, as he should be, of the huge things battering at his door, but he's recording his excitement at having just understood the tonal structures of their speech. When the ACLers and the crews came to Arieka, there started more than 250 kilohours of bewilderment. It wasn't that the Host language is particularly difficult to understand, or changeable, or excessively various. There were startlingly few Hosts or Arieka, scattered around the one city, and all spoke the same language. With the linguists' earware and drives it wasn't hard to amass a database of sound-words (the newcomers thought of them as words, though where they divided one from the next the Ariekei might not recognize fissures). The scholars made pretty quick sense of syntax. Like all exot languages it had its share of astonishments. But there was nothing so alien that trumped the ACLers or their machines. The Hosts were patient, seemed intrigued by and, insofar as anyone could tell through their polite opacity, welcoming to their guests. They had no access to immer, nor exotic drives or even sublux engines; they never left their atmosphere, but they were otherwise advanced. They manipulated life with astounding finesse, and they seemed unsurprised that there was sentience elsewhere. The Hosts did not learn out Anglo-Ubiq. Did not seem to try. But within a few thousand hours, Terre linguists could understand much of what the Hosts said, and synthesised responses and questions in the one Ariekene language. The phonetic structure of the sentences they had their machines speak - the tonal shifts, the vowels and the rhythm of consonants - were precise, accurate to the very limits of testing. The Hosts listened, and did not understand a single sound.

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