https://xitter.cf/t.co/00ZGSdMy4S Educational app Edit CR2 Images or better replace the Image completely, exactly what Jonas Fake CR2 Disinformation hack performed.

Joined February 2024
Replying to @FBI
@FBI please take note on this disinformation and freespeech supression tactics from @bakerstuts , @atadams_at who's account show continious spread of fake images to supress freespeech.
Subject: Report on Disinformation Campaign Involving Fake "Jonas Cloud" Images To: FBI Overview: A campaign spreads forged images purporting to show anomalous "Jonas clouds," created via photobashing in Photoshop, with added noise/dithering, linearized, and injected into hollowed Canon CR2 donor files. Lacks real CMOS sensor noise (e.g., shot/read/thermal variance). Key Individuals: - atadams_at (Tony Adams): Advocated auto_bright_thr=0 in processing to disable auto-brightening, masking histogram anomalies; pushed custom white balance to correct gamma, obscuring forgeries. - BakersTuts: Involved in tutorials or promotion of anti-forensic methods, aiding image manipulation tactics. Anti-Forensic Tactics: - Hollowing donor CR2s: Removes original sensor data, inserting fabricated content without electrical charges in CMOS bins. - auto_bright_thr=0: Prevents automatic level adjustments that could reveal clipped histograms. - Noise addition/dithering: Simulates but fails to replicate true Gaussian tails in shadows (e.g., zeros below ~1024 ADU vs. real ~3-5 ADU variance at ISO 200). - Gamma/WB corrections: Adjusts for 2.2 to 1 gamma to blend fakes. Forensic Proof: - Histogram analysis: Real Canon EOS CR2s (14-bit) show right-skewed distributions with low-end noise tails; fakes exhibit sharp cutoffs and no variance below thresholds, indicating synthetic origins (no photon-to-electron conversion). - Absence of live sensor artifacts: No inherent read/thermal noise, confirming "dead sensor" manipulation. - Only 19 such images identified, likely limited to evade scrutiny. This campaign uses technical obfuscation to promote misinformation. Recommend investigating sources for intent/motivation. (478 characters)
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Faking a cr2 is easy xitter.cf/NoFakery/status/202527… Give me an image you like to turn into cr2. You wont find no composition marks or editing marks.
I have the RAW .CR2 files. You can not fake a RAW file. Only light hitting a cameras sensor can write that data. There would be major issues that tools like libraw, if it could even open a processed format converted to RAW would show. No underlying photon data, would be obvious.
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NoFakery retweeted
Replying to @MickWest
BREAKING: *UAP ‘DEBUNKER’ MICK WEST CAUGHT CHEATING* West falsified data from the Syria UAP video to make the object’s instantaneous acceleration *APPEAR* to be an artifact of camera movement. His 3D sim deviates from the true data *the instant* the UAP accelerates. SHAMEFUL.
SYRIA UAP: Effects Do Not Precede Causes This video analysis demonstrates how UAP “debunker” Mick West makes demonstrably false claims to assert a false causality. Three lines of evidence (UAP maneuvering, acceleration, IR signature) indicate a highly anomalous object/incident.
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Replying to @paramounttactcl
I’m from the middle of nowhere where tons of people have 30-06. Most of my friends. Everyone deer hunts with 30-06 unless their hunting with dogs and a 12 gauge. So I was/am a big 30-06 skeptic. But I understand (to your points) frangible and varmint rounds make it more possible And since I can’t come up with a reasonable explanation of what DID happen (if I’m making the case the official story is 100% false) - I’m simply going to wait for the trial and see what comes out- Iike a sane person. +90% of the people saying 30-06 prob don’t shoot guns. They just watched some demos of 30-06 FMJs. And want to shitpost/engagement farm. It was the only reasonable point to address early on imo. But grifters and charlatans used ONE legitimate issue - to run with 7 months of crazy theories about Egyptian planes, Ft Huachuca, French foreign legion, ancient Sumerian tech and time travel. Etc etc.
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Most importantly, anyone arriving at a different conclusion, knowing there exists no "demanded resolution" pre-2014 effect , now fully owns the burden of proof. It's not the other way around.
Replying to @NoFakery
How did anyone come to a conclusion that using 2019 -2023 sources is a valid proof? Evidence of anomalous activity surrounding this shockwave exists between years 2015-2019. So to be fair, we either check whatever pre-2014 versions exist or stay inconclusive. Am i wrong?
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Lol The fake cloud images and the trolls are both easy to spot.
so I understand... your position is someone stripped the frames from the MH370 video, stitched it together seamlessly, and uploaded it to a stock photo repository as one contiguous image?
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NoFakery retweeted
Obvious Proof of Jonas scam. I took my Original Cr2 images ( No dead zone), extracted the Preview (Jpeg) and Re-inserted into the CR2. The large gap shows (Blue histogram). Synthetic produces deadzone. It's the simplest logic, reproducible None in the original. Orig=Green
Here's Original unaltered Canon 5D Mark II histograms and images. Mostly blue- it's comparable to the other sky/cloud images from fake Jonas coud set @grok Notice no sensor gap and healthy sensor floor noise. This is an authentic CR2.
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Obvious Proof of Jonas scam. I took my Original Cr2 images ( No dead zone), extracted the Preview (Jpeg) and Re-inserted into the CR2. The large gap shows (Blue histogram). Synthetic produces deadzone. It's the simplest logic, reproducible None in the original. Orig=Green
Here's Original unaltered Canon 5D Mark II histograms and images. Mostly blue- it's comparable to the other sky/cloud images from fake Jonas coud set @grok Notice no sensor gap and healthy sensor floor noise. This is an authentic CR2.
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CMOS does not capture a finished color picture, it measures light intensity at each pixel through a color filter A real sky and cloud scene has huge natural variation plus sensor noise, so the RAW histogram should be continuous, not show a large clean dead zone, like synthetic
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I can provide 100,000 samples of fake cloud and sky images CR2 that show Histogram dead zone. 0 samples of real CR2 images of cloud and sky with dead zone. Scammer pivots to "white wall" with no black pixel to justify their impossible gap.
Replying to @NoFakery
drive.google.com/file/d/1kkz… Another Fake CR2. Genuine Image out of my own Camera, but CR2 is fake. Inserted Image will have the large dead zone. Also why RAW Fabrications are easier to detect compared to a well made Jpeg
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NoFakery retweeted
Here's a CR2 i made from this Youtube Screenshot. As expected Synthetic CR2s will have massive gap where sensor noise is absent. Is this image taken on Jan 25th 2012 too? Is the youtube Video uploaded 2 years ago a VFX? drive.google.com/file/d/13dO…
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If we can get Mick West to claim jonas fake images are verified and attest to it, I will settle the Jonas fake image issue once and for all. I will invite someone from Canon’s sensor design team to explain why these images are fraudulent. Let’s make this happen.
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All you need is a tool to extract the cloud layer from the video you want to suppress, then copy those features into a CR2. Hire a few scammers, rent low cost data centers, and run an elaborate disinformation operations.
Here's a CR2 i made from this Youtube Screenshot. As expected Synthetic CR2s will have massive gap where sensor noise is absent. Is this image taken on Jan 25th 2012 too? Is the youtube Video uploaded 2 years ago a VFX? drive.google.com/file/d/13dO…
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Here's a CR2 i made from this Youtube Screenshot. As expected Synthetic CR2s will have massive gap where sensor noise is absent. Is this image taken on Jan 25th 2012 too? Is the youtube Video uploaded 2 years ago a VFX? drive.google.com/file/d/13dO…
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Clarification on my DeadZone work 1. I compared Jonas images to public images from the same camera so people can verify themselves. 2. Comparision isnt about colors or image features, its about sensor noise .The dead zone is where the sensor noise MUST exist- for these images
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Any Technical argument on CR2 images MUST be based on 1. Public images that existed on credible websites, pre-jonas fraud, and verified. B. Images from Canon 5D Mark II which you can request from Canon USA, by raising a support ticket. Escalate to get to get the image.
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In real RAW images, the histogram is continuous from dynamic black. Tiny sensor noise fills in values in real world Jonas fakes show gap where sensor noise must be present (cloud and sky).Large dead zone with missing values and artifacts is inconsistent with CMOS capture.
Replying to @NoFakery
The type of image isnt my argument, the dead zone is sensor noise hum, produced when charges are read at the CMOS sensor, they induce charge variance that causes noise. Also increases temperature. This is why successive shots raise temperature quickly.
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NoFakery retweeted
These are Public Canon 5D mark II images, I compare public images to public , ones that pre-date the jonas scam. So it's independent and and verifiable., You have Jonas images, you have Public images, you can run your own analysis. Untouched and independent of narratives.
In these images the RGB color is so well done that it cancels out to near nothing.
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NoFakery retweeted
Notice the complete cancellation. Real Noise cannot be cancelled out. RGB noise is near identical and carries RGB values ( Photoshop noise layer for example) The entire Jonas image set is pure RGB, inserted into CR2 container.
In these images the RGB color is so well done that it cancels out to near nothing.
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NoFakery retweeted
I selected public images so you guys can independently verify the True sensor behavior Scammers use their personal questionable images. Same with their PRNU- Compared against unverified images. When done on Verified images, their narrative falls apart Decide for yourself.
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This is the PRNU Extraction- noise floor" analysis. The Process: Filters are applied to the image to strip away the scene content (the clouds), leaving behind the sensor's unique "fingerprint" if existed. Jonas images contains none, supports Histogram dead zone.
This quoted post is unavailable.
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Real CMOS show unique blocks and a stochastic noise profile (PRNU). Zoom in on to the real image and you can see individual blocks. Not bands.
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