PROJECT: PsyDNA Technology BIG DATA Sorting & Analysis Algorithm

100% individual approach without an individual approach.

MISSION. The innovative technology for identifying a person’s psychogenic code (PsyDNA) makes any type of contacts between people productive.

VISION. PsyDNA — the only technology in the world for identifying an individual/subtype psychogenic code of Homo sapiens is a potential leader in the global market of Big Data, as it can solve all current problems of recruitment and dating industry, as well as many business problems in general, including sales, marketing, etc.

IDEA AND ESSENCE OF THE PROJECT. We, Special Scientific Info-Analytical Laboratory — Catalog of Human Souls, have a unique innovative technology PsyDNA, based on the discovery of existence in nature of about 300 variations of psychogenetic codes of Homo sapiens. (The latest scientific research in the field of psychophysiology discovered that information embedded at the genetic level is of two types: physiological and psychical, stored in archaic structures of psyche/unconscious.) On the basis of this technology, we created an algorithm called PsyDNA -Big Data Sorting & Analysis for sorting any size databases, which include any kind of information about the “human” segment just by one basic criterion: belonging of each individual from the database to one of the 293 subtypes of the biological type Homo sapiens.

TIMELINESS AND VALUE OF THE PROJECT. The digital revolution made gathering and analysis of data one of the most important processes. Consequently, the world with a tendency to transition to a single digital state with a digital economy needs automatic, fast and most accurate technology for sorting and analyzing databases that can work on a single criterion, i.e. regardless of race, nationality, place of residence of Homo sapiens. This can be done only by identifying individual/subtype psychogenic codes, as innate biological programs of Homo sapiens. In addition, sorting and analysis of databases is in trend right now, and will be even more in demand for many years to come. Big Data databases are the gold of the 21^st century. Therefore, introduction of technology PsyDNA – Big Data Sorting & Analysis to the world market can potentially put its developers, investors, etc. on the same level with the beneficiaries of long chains.

MAIN BENEFITS OF THE PROJECT. With the help of our algorithm PsyDNA – Big Data Sorting & Analysis, any information related to Homo sapiens can be automatically sorted by just one criterion: according to 293 human subtypes (by analogy with sorting the world of fauna and flora by subspecies, recorded in biological classifications). As it turned out, this criterion is basic, since subtype identification is the key to any kind of information about absolutely any person. Therefore, by sorting any database according to 293 subtypes of Homo sapiens it is potentially possible to automatically calculate everything that interests owners of databases. For example:

• consumer preferences (for marketing, advertising, sales, services)
• innate talents and weaknesses (for business, human resources, special services, etc.)
• people, who are ideal for each other for any goal — from romance and leisure to business and other serious alliances (an example of such analysis based on sorting a dating service database powered by PsyDNA technology can be found here [prototype] and here [business plan])

This and much more (including innate “control buttons”) is easily and automatically identified during analysis of a database sorted into 293 subtypes of Homo sapiens.

ADDITIONAL BENEFITS. In addition to the main benefits outlined above (timeliness of PsyDNA -Big Data Sorting & Analysis algorithm, potential demand for it, its value, internationalization, full automation, accuracy and efficiency):

• There is a possibility of an individual approach without an individual approach (meaning, without communication and collection of a large amount of data about a person), since each person is a representative of one of 293 subtypes, and by identifying the subtype — any separate person is identified automatically.
• PsyDNA technology and PsyDNA -Big Data Sorting & Analysis algorithm lack competition on the market of Big Data and databases of any size.
• Application of the PsyDNA algorithm will greatly reduce resources spent on collecting and analyzing Big Data without damage to the result, and will tremendously increase efficiency of this process. (There is still a misconception that gathering of colossal databases will make artificial intelligence equal to human intelligence. As a result, entire industries are absorbed by such giants as Microsoft, Google, Facebook, Amazon, etc. and other events that are not too positive for all of humanity. In reality, financial costs and lots of time spent on collecting such large databases are not required for training AI and for other set goals. It is only necessary to put into operation the algorithm for collecting, sorting and analyzing data according to types of innate psychogenic code: that is, according to natural 293 subtypes of the biological type Homo sapiens. This way, we will also help rid the human population of micro-chipping, “electronic concentration camp,” dehumanization and other not very bright prospects.)
• PsyDNA -Big Data Sorting & Analysis technology is based on many years of scientific research that passed over 25 years of testing, which is a guarantee of its successful practical application.

Below you can find an example of database sorting and analysis according to a single criterion – individual/subtype psychogenic code, automatically calculated based on date of birth.

Other information is provided upon request. We are interested in cooperating with owners of databases of any size, investors, managers, etc. If you are also interested in this project, please contact Kate Bazilevsky at hpa@humanpopulationacademy.org.

Example of database sorting and analysis PsyDNA technology.

SAMPLE PAST CLIENT PURCHASES DATABASE

PHASE 1 IMPLEMENTATION & ANALYSIS

1. A table created using an innovative technology of uncovering the innate/genetic belonging of an individual to one of the 293 human subtypes is provided to a database owner by the SPECIAL SCIENTIFIC INFO-ANALYTICAL LAB—CHS. Database can be of any size, but must include clients’ Date of Birth like in the ex. is provided above.
2. Human Subtype Number column gets added to this existing database. Then, a simple formula gets written based on the provided table, so that values in this new column get automatically calculated (for ex., if DATE OF BIRTH = 5/28/LEAP YEAR OR 5/29/COMMON YEAR then HUMAN SUBTYPE NUMBER = 115).
3. After sorting the database by Human Subtype Number it is possible to conclude the following:

• Consumers corresponding to Human Subtype # 64 prefer Full-face red helmets and Cruiser pants.
• Consumers corresponding to Human Subtype # 115 prefer Dual-sport black or blue helmets and Overpants.
• Consumers corresponding to Human Subtype # 234 prefer Modular blue helmets and Race pants.

Conclusion: now it is clear that for. ex, Dual-sport black or blue helmets and Overpants should be marketed to consumers born on 5/28 of any leap year or 5/29 of any common year, and that it is a waste of money to market red helmets or Race pants to them, and so on. Therefore, upon implementation of Phase 1 it becomes possible to identify preferences of consumers using simple sorting in an existing database.

PHASE 2 IMPLEMENTATION & ANALYSIS

1. A table created using an innovative technology of uncovering preferences of each one of the 293 human subtypes for, for ex., preferred jacket material is provided to the database owner by the SPECIAL SCIENTIFIC INFO-ANALYTICAL LAB—CHS.
2. Preferred Jacket Material column gets added to this existing database. A simple formula gets written based on the provided table, so that values in this new column get automatically populated (for ex., if HUMAN SUBTYPE NUMBER = 115 then PREFFERED JACKET MATERIAL = LEATHER).
3. After sorting the database by Human Subtype Number it is possible to pre-calculate to whom market what.

Conclusion: now it is clear that, for. ex, Leather jackets should be marketed to consumers born on 5/28 of any leap year or 5/29 of any common year, and so on. Therefore, upon implementation of Phase 2 it becomes possible to identify preferences of existing and future clients in advance by simple implementation of the table provided the Lab.