Independent AI and Trends Analysis

What is the meaning of life? I would say a things to do list, say, day by day, tied into Maslow’s hierarchy, as pyramids are unavoidable. Let’s say every day you prepare for tomorrow with a things to do list, hoping to move up the hierarchy but you must think of worst case scenario of what can go wrong. that eventually will go wrong, according to Murphy’s Law. Maslow dictates we all think of basic physiological needs first, and like the pyramid that is world history, many people are there at the bottom. You are only as secure as your weakest link, so brain-storm, sub-categorize with fish diagrams, etc., leave no stone un-turned for understanding worst-case-scenario. Success is all about preparing for the future’s market, and how to rise to the top of the hierarchy and self-actualize. That’s because you exhausted what can go wrong until trial and error produced the smallest error, then a slight rise in error with new, accidentally discovered variables means you employ the next to last conditions to production, and assign a reworking of the recent trial to research.

Maslow’s hierarchy is not a Euclidean pyramid, but the bump on the wave in the ocean. There is ebb and flow, as a good student of history knows history just repeats itself, and new discoveries become more rare according the saddle-curve learning-curve theory. When they happen, like phosphate reacting with water for a high energy conversion ratio, compound words can be generated, in this case nanoenergy, for a lower penalty for plagiarism. Remember, Google is very hush-hush about how to score high on their search engine, only saying the secret to higher scores with outbound links is pointing to original content. So spins that create new compound words, synonym spins with an updated thesaurus, nested spins (eg. {dog|mutt|{dachshund|German Shepherd|Rottweiler}}), partial sentence spins, which can be done with latent semantics (eg. “It’ raining cats and dogs”, “the weather is bad today”), whole sentences (even if that effects chronology. The Bible and Bram Stoker write back and forth in time, and can be appreciated that way, like reverse engineering), paragraphs (usually the middle paragraphs, the introductory and conclusion paragraphs in written templates are best left out for paragraph spinning), even integrating other authors’ content, splitting them up into different paragraphs from different articles, automatic word spins, all because of one seed keyword, means 1,000 instant highly unique articles with little work. It’s all about spins and merges. Merging, which is best done when you scrape tabular data (mostly the names of people and/or businesses from search engines on websites that don’t make it index-able as public records until you include it as data on your website. I recommend 1,000 pages on you robot-created blog weekly, as Google commits  to indexing at least 500 pages every 3 days), will significantly reduce plagiarism score, and allow to tell more original, exciting stories (the five parts of proper story telling – introduction, rising action, climax, falling action, and conclusion. The number of emotional adjectives used increases in rising action, especially the climax. So placeholders, or macros, for these adjectives, and other word types, allow human-input templates to cause robots to write better than humans, not just read and analyse better. Great special effects in modern movies are not good enough. Better writing for better cultured people like me will save the film industry). Instant grammar checking can be employed, to accept, reject, or modify sentences, often comparing them with the top results when the whole sentence is looked in a search engine. An example of a merge or macro adjective for an ad or story, instantly multiplying into 1,000 stories, you write a story about the police, with records of actual officers next to “dangerous”, as in the fact they have a high mortality rate, or “messy” for a story about plumbers. The goal is to significantly increase the chances of people looking up words that will land them on blog posts with this strength-in-numbers information. So maybe people will look up their name, name of business, or someone else does, and you say something positive about them and how you can help them with what you sell. Even when someone looks up “plumber” without the “near me” suggested in searches, if you have geographic information next to the record, you will probably be in the top ten of many important searches, which is very powerful.

The keyword density rules are presumed to be consistent, and again, it is best to spend no money. SEO Quake is free and best for interpolating any changes in the rules, combined with Web analytics, Slimstats, the free WordPress plugin, where you find out, most importantly, what keywords people look you up under, other demographics, unique versus raw visitors for determining stickiness, loading times, often slow for smartphones, what causes an action or an actual sale, and so on. It is best to make the page or post comment 500 words, with all the words in the keyword next too each other for the highest proximity score, in the meta-tags, especially the title, and in two large font headlines as questions. If you have ten records per page, I recommend the keyword you are optimizing the page for be spun with other trending and related keywords from Google Trends analysis. Three words is best, and that means an average frequency of 3.33, which is ideal, and even if Google changes the score criteria, randomization will elude any ability to punish you for it.

The articles, to be fully automated and study future’s market, will happen when we complete daily download keywords (, trending keywords, maybe, in a better world economy like the 1980’s you want to be a master of one, whereas as a jack of all trades does better in bad economies, like in the 70’s when self-serve gasoline was invented, or the early 90’s with Home Depot and the “build it yourself” attitude first prospered. But if you’re a journalist like me, and I think you’re forced to be the drive-by media if you are, you try to corner the market at first) from Google Trends as CSV file, which is usually the seed keyword, compared to up to four other related keywords, which are usually the related topics and queries, also trending upward. This can be done with Web Harvy “pushing” on the download CSV file button, putting them in the downloads folder or different folder of your choice, with instant Fourier analysis looking for the inherit wave-like nature of the keywords, computing demand and margin of error (see Fourier). The ideal wave, like an ocean wave, is represented by the equation:

y = sine θ;sine wave

The big picture is the sum of the little pictures, and the little pictures are the sum of even smaller pictures, and so on. So the four related topic or query keywords, next to the initial seed keywords, means you can download many CSV files, and add them up for a smoother wave, making the future more predictable. Big waves, little waves, just like the ocean, with ebb and flow, a keen sense of history repeating itself, is not that hard to understand and make use of.

When compounding many waves, you may still get something highly irregular graphs, which just means more research is required, until “simulator” software automatically searches thousands of trends in a much shorter period of time for a more predictable pattern. Often you will get something that  resembles a wave-packet, as follows:

Wave packet

You interpolate (fill in the points in the middle), then extrapolate (follow the wave-like trend assuming amplitude, frequency, and phase of “best fitting wave” stays the same), with the predicted margin of error predicted with saddle-curve regression, or “best fitting saddle”. When you share the research with others, if the world community wants peace, and I think most overwhelmingly do, it leads to Gaussian bell-curve regression, and a small margin of error when predicting the future indefinitely.saddle curve

gaussian distribution
Information, like how to defeat terrorism and the conspiracies of the military-industrial complex by being proactive, means saddle curve regression, above right, causing predicted margin of error to dip-down for the above Gaussian bell curve, for a world community sharing trends information, to effect your own trends for the best