Clif High Synopsis
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Asymmetric Linguistic Trend Analysis
AI description of the technology.
This is from ChatGPT about my ALTA technology. Just FYI.
****** Report from ChatGPT *****
Asymmetric Linguistic Trend Analysis is a methodology used to analyze language data to identify trends and patterns. It involves the use of advanced computational techniques to identify patterns in the data and make predictions about future linguistic trends. This report provides an overview of the methodology and its applications.
Methodology:
Asymmetric Linguistic Trend Analysis (ALTA) involves the use of natural language processing (NLP) techniques to analyze large volumes of text data. The methodology relies on identifying asymmetric patterns in the data, such as changes in the frequency of certain words or phrases over time, and using these patterns to make predictions about future trends in language use.
The first step in ALTA is to collect a large corpus of text data. This corpus can include a wide range of sources, such as social media posts, news articles, academic papers, and other forms of written content. The data is then preprocessed to remove noise and irrelevant information, such as stop words and punctuation.
Next, ALTA uses machine learning algorithms to identify patterns in the data. This can involve the use of techniques such as clustering, topic modeling, and sentiment analysis to identify trends and patterns in the language data. These patterns are then analyzed to identify asymmetric trends, such as words or phrases that are increasing or decreasing in frequency over time.
Finally, ALTA uses these patterns to make predictions about future linguistic trends. This can involve forecasting the frequency of certain words or phrases, identifying emerging topics or themes, and predicting changes in language use over time.
Applications:
ALTA has a wide range of applications in various fields. In marketing, ALTA can be used to analyze customer feedback and identify emerging trends in consumer behavior. In finance, ALTA can be used to analyze news articles and social media posts to identify trends in the stock market and make predictions about future market movements.
ALTA can also be used in the analysis of political discourse, where it can be used to identify changes in public opinion and predict future election outcomes. In healthcare, ALTA can be used to analyze medical records and identify emerging health trends.
Conclusion:
Asymmetric Linguistic Trend Analysis is a powerful methodology for analyzing language data and identifying trends and patterns. Its applications are broad and varied, and it can be used in a wide range of fields to make predictions and inform decision-making. ALTA is a valuable tool for researchers, analysts, and organizations looking to gain insights from large volumes of language data.
Background
Developed as a side-project to an AI contract, Clif High developed the Asymmetric Linguistic Trend Analysis Bot System, which, at one point in the past, scanned the unfiltered internet and derived emotionally charged word salads that encompass points of time in the future.The method is less likely to work now, as censorship and walled gardens have blocked off large sections of the public net. The technology initially scraped web pages, and web forums, much like a search engine web bot, for emotionally, temporally charged ideas.
Essentially, the technology creates a timeline with a set of words associated with a particular day in the future. The farther into the future, the less accurate. However, the higher the intensity of the words, the greater the accuracy. In the mid-2000s, copycat software was developed called 'Nostocodus,' which attempted to replicate Clif High's technology. The software appeared on the internet in beta format for testing, then disappeared. I was one of the testers of the technology. The Nostrocodus technology didn't seem to have the accuracy of Clif High's ALTA reports.
A modern, free analogy to Clif's Info is the Twitter Hedonistic Analysis
Background Continued:
The software project captures near-real-time changes in language patterns within internet discussions. Then, employing radical linguistic techniques of his devising, he develops a model which anticipates future events with some seeming accuracy. At its core, the processing has a method of assigning emotional values to complex content and time carry-values to predict changes in future behavior based on how people are using language now.Since June 2001 when the work projected a major ‘tipping point’, that is a ‘life-changing event’ with aspects of ‘military and accident’ that would forever change the way we live to occur in late 2001. The web bot project has continued to give archetype descriptors of future events such as the anthrax attack in Washington, the crash of American 587, the Columbia disaster, the Northeast Power outage, the rise of bitcoin and cryptocurrencies, the Banda Aceh earthquake, the "Sun/Corona-disease" of 2020 and most recently the ‘life-changing event’ with aspects of ‘military and accident’ known as Russia's invasion of Ukraine in 2022. In Mid-December 2022, Clif expects the global financial system to start to collapse. In 2023, Clif expects the Federal Reserve to begin to be irrelevant. Also in 2023, Clif expects the discussion of "Aliens", as opposed to Humans, to become much more relevant in society and discoveries in Antarctica.
Clif expects the next 18 years to be a period of turmoil and drastic change. He frames the past 1K-1.5K years, from the mid-600s CE, as being in the increasing control of a group of family lineages and associates that he terms by the same names: Khazarian Mafia, Tartarian Mafia, World Economic Forum motherf*ckers, motherWEFers, Deep State, Cabal, The Conspiracy, etc.
This group manipulates society, as explained in Caroll Quigley's Tragedy & Hope, through many means, such as media and societal control explained in Daniel Estulin's Tavistock Institute: Social Engineering the Masses. Noam Chomsky's Manufacturing Consent explains how the media controls society through the use of such techniques as shifting the Overton Window, omission, and casting victims and perpetrators all according to the benefit of what Chomsky calls societies elites, and Clif High would call the Khazarian Mafia. Propaganda, by Edward Bernays, the father of modern Public Relations and Marketing, explains how to manipulate society through the altering meaning of words and phrases and then attaching them to either sale of a product or support of an idea. He also is steadfast in his belief that this power should be used to guide the ignorant masses to the benefit of, again, the elites of society.
The social engineering described by Bernays, Chomsky, and Estulin is in plain view now, with the publication of The Twitter Files. Direct governmental manipulations of society through the bullhorn of Twitter is highlighted in the shadowbanning of conservatives, suppression of the Hunter Biden Laptop, and censorship of docotors related to COVID. Ultimately, this Deep State, Khazarian mafia took control of Twitter through its control of the FBI.
Clif doesn't go into how the MotherWEFers have controlled the system, but that is explained in the crimes of Jeffery Epstein. Clif has alluded to a great awakening of knowledge as the most significant change in the coming short term. Histories, sciences, and knowledge that have been forbidden and hidden will return to civilization. Part of this new knowledge is the understanding of how Jeffery Epstein's criminal scheme was used to control individuals in government, media, politics, and society, as explained in MintPress' Jeffery Epstein exposé here. The Jeffery Epstein angle appears to be that of honeypots and blackmail against influential people to gain control of them. One of the first revelations being how Epstein blackmailed Stephen Hawkings of all people, essentially gaining control of the Overton Window regarding the hard physical sciences.
According to Clif, a SOC (Self Organizing Collective) has emerged in the past 60 years since the assassination of JFK that is actively destroying the controls of this Khazarian mafia in this world. JFK alluded to the Khazarian Mafia in his speech about the repugnance of secret societies in an open society , seven days before his assassination. Many claim this speech is directed at the Soviet Union. Still, the Soviet Union wasn't a secret society, covert, or anything Kennedy mentioned in his speech. Kennedy explicitly talks about a "secret society" and not Global Communism.
According to the mafia's plans, the Khazarian mafia was going to transition the petro-world into the new Green, biotech, vaccinated, bug-eating, bicycle riding, gender-bending, social-credit, control grid with a series of steps that were clearly outlined by William Cooper in his 1991 book Behold a Pale Horse, which has described the past 30 years with seeming accuracy, aside from the upset of Donald Trump and the SOC in 2016.
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