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Showing content with the highest reputation on 02/11/2022 in all areas
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One of these days I am going to deck mine out, similar to the way @wiiawiwbdoes it, with bark on it, but with a Faraday cloth wrap under the bark. I'm just not prepared to go to a good site that seems active and scare them off with a trail cam at this time. I may also have to pick up some of the passive IR sensored lights you speak of, just for camp.2 points
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I have my doubts. Passive is just that. The current cameras do not project any sort of beam so there's nothing to be seen. They have a sensor inside that can detect rapid changes in the amount of heat / light they receive across a very small portion of their surface. The only time anything ever projects from them is the flash. Stands to reason that if a BF saw the flash from the camera when a deer tripped it, then the BF might avoid the location of the camera, but the camera itself might as well be a lump of coal. If there's anything, it's the charge on the battery or the smell of the plastic. I doubt those, too, because 50% of cameras not place with thought to air movement are downwind of their target, undetectable by smell, and hopefully all of those placed with thought to air movement are out of the air current where they can be smelled. High pitched buzz / whine .. maybe, but that has been tested with some mighty sensitive detection equipment without any proof of detection. I tried an experiment a couple years ago. I set up a camera w/o batteries in the field of view of another camera, then tripped that camera at night to see what the camo plastic case looks like under I.R. It was a rectangular gray/black box, no sign of any camo. So supposing BF really can see in the infared end of the spectrum .. I would think that trail cams we place and thing are invisible would be rectangular boxes, plain as day, strapped to the tree, to them. Another thing .. observation. Though sometimes critters appear to see the cameras, I'm not convinced. I have thousands of pictures of deer, elk, bear, coyotes, skunks, etc which appear completely oblivious to the camera that is taking their picture. My cameras have a dark red cover over the IR flash and another over the lens. The one over the lens especially will glow blood red if it is hit by strong light from the side. That could be a piece of the detection puzzle.2 points
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Dear BFF Members, The Forum Management Team proposed and the Steering Committee approved releasing the raw SSR Dataset to the community in order to facilitate independent research. The SSR database will always be available if you need to use its capabilities, but we have received requests for the raw dataset many times in the past, so here it is. There will be regular releases posted in this thread as more data is classified. Attribution to "The Bigfoot Forums" is required for any published analysis. We hope it helps somebody advance the search. Thanks, ~gigantor Data Fields Date <MM/DD/YYYY> - MM = {01..12}, DD = {01..31}, YYYY = {0001..9999} Time <hh:mm> - hh = {00..23}, mm = {00..59} Duration <mm:ss> - mm = {00..99}, ss = {00..59} Latitude <floating point> Longitude <floating point> Altitude (ft) <floating point> State <string(2)> County <string(30)> Height (ft in) <string(10)> Footprint Size (inches) <string(10)> Organization <string(30)> Researcher <string(30)> Season: (mutually exclusive - can only select one) 1 - Spring (Mar 20 - Jun 19) 2 - Summer (Jun 20 - Sep 19) 3 - Fall (Sep 20 - Dec 19) 4 - Winter (Dec 20 - Mar 19) Type: (mutually exclusive - can only select one) S - Single Creature M - Multiple Creature N - Non Visual T - Trace Evidence Witness: (mutually exclusive - can only select one) 1 - Single, no evidence 2 - Multiple, no evidence 3 - Single, evidence 4 - Multiple, evidence Witness Activity: (mutually exclusive - can only select one) A - ATV B - BFing C - Camping D - Driving (road) E - 4 Wheeling (off-road) F - Fishing G - Hiking H - Horseback I - Hunting J - Boating / Canoeing / Kayaking N - Normal Activity at Home P - Playing (children) S - Swimming BF Activity: (inclusive, can select any) E - Eating F - Food Gathering H - Hunting K - Knocking O- Objects Thrown P - Speech R - Road Crossing S - Standing T - Stalking V - Vocalization W - Whistling X - Swimming Disposition: (inclusive, can select any) A - Aggressive C - Curious I - Indifferent R - Scared S - Surprised Locomotion: (inclusive, can select any) C - Crawling G - Gliding J - Jogging R - Running W - Walking O - On all fours Terrain: (mutually exclusive, can select one) B - Beach C - Cave D - Desert F - Rain Forest H - Wooded Hill M - Mountainside P - Pasture / Crop Field S - Swamp W - Wooded Plain Zoning: (mutually exclusive, can select one) A - Agricultural C - City M - Commercial P - Park Land / Refuge R - Rural S - Suburb Print Evidence: (mutually exclusive, can select one) TP - Print (1) TS - Track (1) TM - Track (2+) TC - Print (1) + Cast TT - Track (1) + Cast TN - Track (2+) + Cast Photo Evidence: (mutually exclusive, can select one) PF - Photo Film PD - Photo Digital PI - Photo Infrared PN - Photo Night Vision MF- Motion Film MT - Motion Tape MD - Motion Digital MI - Motion Infrared MN - Motion Night Vision Biological Evidence: (inclusive, select any) B - Blood D - Dermal Print F - Feces H - Hair T - Tissue R - Remains Hair Color (mutually exclusive, can only select one) B - Black D - Dark Brown G - Green N - Brown O - Orange R - Red Y - Yellow W - White Skin Color (mutually exclusive, can only select one) B - Black G - Gray N - Brown W - White Weather (inclusive, select any) S - Sunny P - Partly Cloudy O - Overcast R - Rain L - Sleet F - Fog N - Snow W - Wind Moon Cycle (exclusive, can select one) 1 - New Moon 2 - Waxing Crescent 3 - First Quarter Moon 4 - Waxing Gibbous 5 - Full Moon 6 - Waning Gibbous 7 - Last Quarter Moon 8 - Waning Crescent Other: (inclusive, select any) E - Eye Shine O - Odor L - Lore, indigenous traditions, historical references BFRO Class (mutually exclusive, can select one) A - Class A B - Class B C - Class C URL: <string> Notes on Column Labels NED = Not Exact Date. The date was estimated AGPS = Not Exact GPS. The coordinates were estimated Date = Date the report was entered SDate = Sighting Date URL = Sighting report URL Confidence = Subjective rating by person classifying the report RepScore = Objective report scored using the criteria below1 point
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agree, The Youtube Channel is odd to say the least. along with some of the comments by the dude answering questions. Some of the Videos are interesting but some are just odd . They remind me greatly of some of Todd Standing sillyness from his documentary. The "suit" appears to be a ghille type thing. I surely dont know for sure but i take these for BS .1 point
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There appears to be at least a couple of other videos on there that use the same costume. His first and most popular video has 1.2 million views and was likely the initial motivator for him to continue with faking videos. The fact that he replies in the comments with lengthy explanations as a way of trying to further deceive people is more obnoxious than the videos themselves. There's some sort of mental illness component to people who do things like this. I've seen videos that are a one-off attempt at a fake but when someone spends close to a decade trying to fool people with fake bigfoot videos I'm forced to assume that they're probably not thinking straight.1 point
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^^^^ One of my GF's friends (since college) lives nearby. Very nice person but she's a bit of a .. geek .. so much so that she has her white mini-van decked out like a Star Trek shuttlecraft including graphics and stickers on the pain. It's a great camping rig .. if you're about 5'1" tall. She's got 6-8 motion sensor lights that mount to the car magnetically at night so anything / anyone approaching her vehicle gets lit up. They work. The stray cats around the campground we stayed at last fall kept setting them off .. they're very bright and rather irritating for those of us tent camping nearby. MIB1 point
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SSR Open Dataset (1/1/2022 Release) Entire Dataset: SSR-All-1-1-2022.csv Class A Sightings: SSR-ClassA-1-1-2022.csv Class B Sightings: SSR-ClassB-1-1-2022.csv Report Score 6+: SSR-Repscore=6+_1-1-2022.csv1 point
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I didn’t downvote you, but I have to ask… At what point did the Hovey pic become indisputable? Was it prove. To not be the costume from Clawed? Honest question.1 point
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