Geologic Gram Radar was developed by the United States Air Force, allowing for new types of readings of the Earth’s surface. Originally created for the purpose of tracking enemy combatants in the Persian Gulf, this technology has most recently been tested in select areas north of Manhattan along the Hudson River, including Peekskill and further upstate, as well as locations in New Jersey.
Geologic Gram Radar (GGR) takes “readings” of a given area and is able to virtually look into the past by evaluating impressions made in Earth’s naturally occurring geomagnetic field over time, at a very fine resolution, revealing what researchers are calling “pathways” and “clusters.” A highway or any other frequently traveled route can create a pathway, while a cluster is observed wherever there is a dense amount of activity such as a city. It is not limited to human activity: migratory species have left pathways along annual routes, and GGR was instrumental in the recent discovery of a colony of wolves, apparently having gone undetected for hundreds of years. The wolves used a network of wildlife corridors that overlap highways and railways in a manner not thought possible. Biologists were able to verify data from regions monitored by the Air Force.
A key function of GGR is to evaluate these pathways and clusters over time. The higher the density, the longer it has been there. This is where the data has become puzzling to researchers: In addition to an accidental discovery of a species long thought to have been extinct in New York State, and New Jersey for that matter, there are strong impressions of what may be human-generated paths and clusters (i.e. roads and cities) that do not correspond to history as we know it. Some of the more fanciful theories propose mysterious ancient civilizations or conspiracies in the standardization of time, but a more likely interpretation questions how this data may correlate with the movements of Native American populations in the centuries prior to the arrival of Europeans.
This article has been re-printed with permission from the author. To share information on this subject, contact ggrtrack@yahoo.com.