Might Makes Right -Trump intimidated. threatened and bullied America's allies in his 2nd term just like his 1st term - The Might Makes Right Historical Cycle: March 2017 Letters to Allies' Embassies of Allies w/ Revelation of Trump's Abuse (July 2020) + 1981 warning to FBI - document w/FOIPA Stamp
Bibliographic record
Abstract
Trump' has bullied and threatened our allies -- the writing was on the wall in 2017 In letters that I mailed to the embassies of our allies in Mid-March 2017, I stated: "I read an article which said that Trump's envoy to the United Nations was going to "take names" and dictate terms to the nations of the world. That is an utter disgrace. When it comes down to it, at times, Americans can be downright arrogant. Some Americans think they have all the power and all the answers. The truth of it is Americans don't even have the right question. History repeats itself and has definite cycles. I believe America is in the cycle of might-makes-right. After the Athenians defeated the Persians they rose to the undisputed and unchallenged leadership of the Greek world. They used their power to bully and dictate terms to their allies. The Athenians ended up massacring all the inhabitants of Lesbos on the argument that might-makes-right. Their policies ended up backfiring." "Trump accused of 'near-sadistic' bullying of German Chancellor Angela Merkel…. Intelligence Revelation in 2020 Intelligence Leaks July 30, 2020: The title of an article in the Indy 100, Independent, stated that "Trump accused of 'near-sadistic' bullying of Angela Merkel for 'vicious attacks' in private phone call" The article went on to say How Bernstein of CNN observed that Although Trump "regularly bullied and disparaged" other leaders like Emmanuel Macron (France), Justin Trudeau (Canada) and Scott Morrison (Australia) However, his most "vicious attacks" were reserved for women, the report claims. Bernstein quoted one of his sources as calling Trump's phone calls with Merkel and May "near-sadistic". Some of the things he said to Angela Merkel are just unbelievable: he called her 'stupid,' and accused her of being in the pocket of the Russians. He's toughest with those he looks at as weaklings and weakest with the ones he ought to be tough with. Preamble: As Jean MacPhail, author and scholar, observed, my spiritual-psychic experiences are unique – in part because the experiences – some conscious, some in dreams – related to events outside myself, in part because many are documented and in part they consistently are 'perceptions of threats to the group. My 1981 warning to the FBI is a remarkably detailed and accurate prediction-warning – which I include at the end. That being said, the focus of this essay are the 'warning' letters I sent to the allies' embassies (French, Canadian, British, German) in February-March 2017. In the warning there is no precognition whatsoever. That was pure political-historical situational sense – and as Ortega Gasset, the Spanish philosopher said "I am I plus my circumstances. The prophets dealt with man, not as an atom, but as a part of a social organism, a living member of a living body. To heal this body when diseased (Isa. I:6), to warn it against coming dissolution, and to bring it back to the paths which lead to perfection in God, was their great and only mission (Jer. 6: 6). Hence, they were always the more numerous when national death threatened. Just before the fall of Samaria and the fall of Jerusalem we find them working in the greatest number and with the greatest energy. (The Old Testament Prophets As Social Reformers, Rev. Geo. Stibitz)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".