Casing Techniques in Private Investigation

[Juan Rodriguez]

major premise for criminal and civil liability in social media is the traveling pariah paradigm I discovered as a 2004 FSU law student, arming pariahs with marketing and census data and trick or treating as Jehovah’s Witness. XML shuffling of blogs was an improvement implemented in my legal research blogging software relying on google adsense and coupons. A better improvement used over relational db. However, graph db like Facebook turned out to be the best solution. A good lawyer is versed in casing techniques. Like salespeople and private investigation detectives, lawyers have dealt with a backlog of cases the study of which improves detection of patterns in new situations. Casing in this field can yield demographic details inferrable from a perimeter along with used with a variety of field specific subject matter knowledge. A neighbor, co-worker, or relative may yet have to procure this type of data by soliciting it themselves from a subject, inferring from observed evidence, or a directory-style query lookup. In an expertise locator this is an inverse with a seeker categorized and allocated by query factors with an index of semantic knowledge experts that qualify. A variation of this scheme can push at-large "position" networks using the MIT balloon search experiment from 2011 where groups competed in diverse locations using social media to locate a floating red balloon. This matter was further expanded to an ANTIFA technology platform in 2020 including a smart glass stream-by-location topical search to locate streaming media by location based on a superficial skimming of international online news articles on youtube lip.

https://groups.google.com/g/misc.legal/c/9lyXMydyd_8/m/OWHo-FsTAAAJ
https://news.mit.edu/2011/red-balloons-study-102811
https://github.com/pacobaco/lip

[Juan Rodriguez]

Finding people in the law with my casing technique is often mistaken with a case-based reasoning, a related AI paradigm. My pop-a-911 civilian surveillance casing technique handing over routine patrol for potential disturbances tends to be misapplied as a CBR technology but actually casing with decision trees can be derived for Bayes or C4.5 decision trees with census data. My original analysis as a forensic artificial intelligence technician was the legalities of the traveling pariah problem, trick or treating as a Jehovah’s Witness in a strange place armed with census and marketing lists. This is the common information strategy of businesses and corporations. While fedstats.gov maintains listing of census data in the US , multiple domicile in an inferential demographic casing or jurisdictional common law eerie doctrine analysis may be useless globally where biological, medical, nationality, religion may be more useful
https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html

[Juan Rodriguez]

An interesting application of this method in the medical field is to start with every possible cause of death that is possible from the examination of cadavers at the coroner and add qualifiers, for example age, reducing the domain set from all to one.

[Juan Rodriguez]

This is based on the PEG (Price Estimator Grain) used in blockchain and economics, counting the redundant nodes to verify validity.

[Juan Rodriguez]

A potent example of the traveling pariah prospect in social media marketing where large volumes of marketing and government collected lists are available and highly revelatory and decipherable by common laymen. The movie "Serpent and the Movie" depicts this prospect explained as follows. Travel to the Caribbean and Brazil by American tourists has drawn a flag for advisory warnings on bringing GPS devices like used on sailboats to periodically broadcast location due to reports of murders and stripping of identity through doping and holding for ransom as these tourists wander around like zombie beggars seeking a familiar and welcoming stranger.

https://youtu.be/LNRnOcW5yqs

[Juan Rodriguez]

Facebook has been hacked and millions of users are being solicited for friendship by chatbots represented by pictures of semi-clothed young voluptuous women as if they were bigamist pensioneers. This demonstrates a phenomenon I have attempted to duplicate by chatting with both single men & women on online dating sites to experiment with casing to infer demographic & identifying information in an informal social setting. Consider this news report informing the public of a parallel incident were millions of social media pictures were harvested and used in tandem with chatbots to collect such information, my programming skills are in need of update.

https://www.nbcnews.com/tech/internet/facial-recognition-s-dirty-little-secret-millions-online-photos-scraped-n981921