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Bigfoot Face Database

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On Memorial Day 2008 I established MogollonMonster.com to research Arizona’s Bigfoot. The whole idea behind the team was to gather information about the Bigfoot and sharing the information with the outside world. In the mission statement for the team we outlined the policy of being a No Kill/No Harm research organization. In other words we would not be attempting to kill or capture one of the Sasquatch, but we would learn as much as we could through peaceful means.

Since the start of the team a vast number of hours of video have been obtained. The videos document our successful and non-successful efforts. It was never intended to provide a Bigfoot in every picture as many of the viewers seemed to think should be there. However, there was a large audience who loved to watch the videos to learn some research techniques and to pass some of their success back to us in a form of feedback. This was a good thing! And, this is exactly what the research team wanted to happen.

Participation in research started to grow with numbers of people who were not able to be in the field. These people want to be a part of the research but cannot dedicate their lives or resources to do the necessary field work due to obligations to jobs, family, or location. This started a new phenomenon in our research efforts. Many of these people started searching the videos frame by frame in order to find Bigfoot faces in dark shadows and hidden in the trees and bushes. They were successful!

Many of these video researchers would take freeze frames from the video and send them to our organization along with the video time-tag for our review. Some of the photos are due to Pareidolia, the identification of faces in clouds, water, etc), or facial recognition of video camera software which seems to highlight possible faces for a clearer picture. These are commonly referred to as Squatch-blobs in the Bigfoot research world. And, of course, there is the occasional optical illusion or hoax. However, many of the photos were very compelling.

So how do we separate the real and non-real photos? We don’t. Instead, we established a Bigfoot face database. We compile the information as to the location, time, and date of the video. If matching faces are found at a different time and place, then we can move this face to the “high probability” category. Three matches pretty well lock it in as being real.

To be continued…

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