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FACT-CHECK: Edward Snowden Is Mike Johnson? [A Major Update]
EDITOR’S NOTE: There has been a persistent (but niche) group of people online who believe Edward Snowden is Speaker Mike Johnson, and vice versa. It sounds crazy at first, but I looked into it and it’s not as crazy as it sounds once you investigate a bit. I’m not telling you I believe it 100% or even at all, but I do have a big update on the story to bring you today.
I first brought you this report over a year ago, but since I saw it going viral again today I took another look. And I realized that when I originally covered this, the AI tools we had available were significantly weaker. With major advancements released since then by all the top AI companies, I decided to run the photos through AI again and see what the more advanced AI now says about this doing advanced facial analysis.
I’ll give you my original report first in case you’ve never seen or heard about this before, and then below that I’ll give you my new update. Spoiler alert: the results actually might really surprise you!
ORIGINAL REPORT:
Ok folks, don’t shoot the messenger on this one, I’m just reporting on something that is starting to go viral online.
Perhaps you’ve seen it….the claim the Edward Snowden = Mike Johnson.
I’m going to say right at the onset that I do not believe this to be the case, but as you click in and look at some of the photos I have to admit the resemblance in some instances is quite uncanny!
Let me show you what I mean, and then I will reiterate I am not promoting this as accurate. In fact, I believe the contrary.
Let’s start with this:
The tie in to Kim Clement is interesting….and Kim did say “another Snowden will arise”.
This would sure be quite the twist on those words if “another Snowden” meant Snowden himself in disguise!
Now let’s look at some side-by-sides that I posted for comparison purposes.
One:
Edward SnowdenMike Johnson
1/ pic.twitter.com/WRkzdoXIwR
— Noah Christopher (@DailyNoahNews) April 27, 2024
Two:
Edward SnowdenMike Johnson
2/ pic.twitter.com/plAkEFbspp
— Noah Christopher (@DailyNoahNews) April 27, 2024
Three:
Edward SnowdenMike Johnson
3/ pic.twitter.com/y4tbv0FCVn
— Noah Christopher (@DailyNoahNews) April 27, 2024
I don’t see it so much, but the one thing I will say is in the two photos directly above, they both do appear to have two moles in EXACTLY the same spot.
That is definitely odd.
Then we have this post which is saying the ears and teeth don’t match, but ironically I think this photo mashup is the most convincing of any I have seen:
Speaker Mike Johnson Is Not Edward Snowden As The Ears & Teeth Do Not Match https://t.co/El0ZEkQHqw pic.twitter.com/hxmIccqbUY
— Not Op Cue (@NotOpCue) October 28, 2023
I did run all three sets of photos through online AI face comparison software and got these results:
I don’t quite know what to make of that. 50-61% does seem awfully high, but the software labels that “not a match”.
So AI is telling you it’s not the same person.
And we all know our AI overlords are never wrong! (smile)
I got 54% using a different AI tool:
I did find it interesting that Mike Johnson didn’t even get elected to Congress until 2017 and Edward Snowden had already been exiled back in 2013.
But overall this is one “conspiracy theory” I’m just not quite buying into. Sorry folks!
Because the theory seems to be that Speaker Johnson (Snowden) and Trump are somehow working together.
I will say that I have found it extremely odd that President Trump continues to support Johnson, even after another $60 billion to Ukraine and NOTHING for our border.
That definitely caught my attention and I really don’t have a good explanation for it.
But if the idea that Trump is working with Johnson because he knows he’s secretly Snowden, that falls apart pretty quickly based on President Trump’s prior statements about Snowden (spoiler alert: he does not like him).
On June 24, 2013, he referred to Snowden as a “traitor” who had “really hurt us.” Additionally, in October 2013, Trump tweeted that Snowden was “a spy who should be executed” after Snowden was charged.
So sorry folks, I’m marking this one as “Interesting….but unlikely true”.
NEW UPDATE 9/6/25:
Now for the update after using the most advanced AI we have available today.
I won’t hide the ball, I’ll just come right out and tell you what really surprised me.
Not only did the facial similarity comparisons go up by a lot, but both ChatGPT and Grok both arrived at an 82%-83% facial similarity conclusion, which the AIs label as “unusually high” and good enough to be “mistaken for siblings/twins in casual analysis”.
Oh my!
Before I give you the full reports, here are the four images of side-by-side comparisons I fed into each AI:
Here is the full analysis from ChatGPT:
Got it — I’ll strip away all the temporary or changeable elements (glasses, facial hair, smile, lighting, even moles) and look only at the fixed, structural, lasting markers:
Facial Structure Analysis
1. Cranial & Forehead Structure
Similarity: Both have relatively tall foreheads with a smooth vertical slope, no deep protrusion at the brow ridge.
Difference: One has a slightly broader upper forehead, while the other’s is more narrow.
2. Orbital (Eye Socket) Shape
Both have horizontally narrow eye sockets with downward slant at the outer corners.
Distance between eyes is very close in proportion, making them appear aligned.
Key Difference: One has deeper-set eyes within the orbital cavity, the other’s eyes sit a bit closer to the surface.
3. Nose Structure
Bridge: Both noses are narrow at the bridge.
Tip: One has a slightly more defined, angular nasal tip, while the other has a rounder, softer tip.
Overall Proportion: Both noses are proportionally similar to face width.
4. Cheekbones & Midface
Cheekbones sit high and narrow in both men.
Neither has pronounced lateral cheekbone flare (both faces are more vertical than wide).
Difference: One shows slightly fuller cheeks, the other has a flatter midface contour.
5. Jawline & Chin
Both have narrow jaws that taper sharply toward the chin.
Difference: One’s chin is slightly longer and more pointed, the other’s is shorter and more squared off.
Angle of mandible (jaw corner) is similar but with minor variation.
6. Ear Placement
Both have medium-set ears in proportion to head size, not protruding.
Difference: One’s ears sit slightly higher relative to the eyes.
7. Facial Ratios
Vertical thirds (hairline → brow → base of nose → chin): Nearly identical between the two men.
Horizontal fifths (eye width vs interocular distance): Very close, with symmetry strongly matching.
Overall Assessment
Looking only at fixed skeletal and proportional markers:
High similarity in: Forehead slope, orbital shape, nose bridge width, cheekbone height, jaw taper, facial ratios.
Moderate differences in: Chin length/shape, nose tip shape, cheek fullness, depth of eyes within sockets.
Final Estimate
Based on bone structure and enduring proportions, ignoring superficial modifiers:
Similarity: ~82–85%Difference: ~15–18%
Final Answer: The two faces are structurally about 83% similar, which is unusually high. The differences (chin, nose tip, midface contour) prevent them from being identical, but their cranial proportions and facial ratios make them look strikingly alike.
And the full analysis from Grok:
The four images consistently show two distinct faces side by side, but with notable similarities in core structural features. Here’s a breakdown of the analysis, focusing exclusively on enduring facial markers such as bone structure, proportions, and geometry (e.g., ratios of features like eye width to face width, nose length to philtrum, etc.), derived from visual comparison across all provided photos:
Overall Face Shape and Proportions
Both faces exhibit an elongated oval structure with a similar width-to-length ratio (approximately 0.7:1).The jawline is squared off in both, with comparable prominence in the mandibular angle and chin projection.Cheekbone height and width are aligned, creating a mid-face that tapers similarly toward the chin.
Forehead and Hairline
The forehead height (from hairline to brow) is proportionally equivalent, occupying about 25–30% of total face height in each.The hairline recedes in a similar M-shape pattern, with comparable temporal peaks.
Eyes and Orbital Region
Interocular distance (space between eyes) is nearly identical relative to face width, at roughly 30–35% of the total.Eye shape is almond-like in both, with similar horizontal width and subtle hooding at the outer corners.The brow ridge prominence and arch are closely matched, with a gentle curve rather than a sharp peak.
Nose
Bridge height and straightness are very similar, with a comparable nasofrontal angle (around 130–140 degrees).Nasal length (from bridge to tip) spans about 20% of face height in both, and the alar base width aligns with the interocular distance.The tip shape is rounded without significant bulbousness in either.
Mouth and Philtrum
Lip width relative to nose base is consistent (approximately 1:1 ratio), with a straight vermilion border.The philtrum (groove from nose to upper lip) has similar depth and length, contributing to balanced lower-face proportions.
Ears
Attachment height (top of ear aligning with brow level) and lobe shape (attached rather than free-hanging) are equivalent.The helical rim curvature matches closely.
Key Differences in Lasting Markers
One face shows a slightly broader zygomatic arch (cheekbone span), making the mid-face appear about 5–10% wider overall.
The chin cleft is more pronounced in one.
The nasal septum deviates subtly differently (one straighter, the other with a minor curve).
Orbital sockets are deeper set in one, affecting shadow patterns under consistent lighting.
Similarity Estimate
Based on these metrics, averaging geometric alignments (e.g., via landmark overlaps like 68-point facial mapping approximations), the facial similarity is estimated at 82%.
This accounts for high congruence in foundational structure while noting minor divergences that distinguish them as non-identical.
Context for 82% Similarity
Yes, 82% is indeed pretty high for facial similarity between two distinct individuals. To put it in perspective:
Identical twins: Typically average around 0.746 (74.6%) similarity, with scores ranging from about 0.69 (69%) to 0.856 (85.6%).
Unrelated look-alikes: Often average closer to 0.704–0.71 (70.4–71%), with highs up to 0.76 (76%).
General recognition systems: Score on a 0–1 scale (or 0–100%). A 1.0 (100%) means identical images.
Thresholds for a “match” often start around 0.6–0.7 (60–70%).
Anything above that risks false positives for unrelated people.
Scores in the 80%+ range are rare outside of close genetic relatives or extreme doppelgangers.
Final Perspective
An 82% similarity score would likely indicate a level of resemblance strong enough to potentially fool lower-threshold recognition tools or be mistaken for siblings/twins in casual analysis.
So there you go folks!
As usual, I’m not telling you what to believe — heck, I’m not even sure I know what to make of this…
I’m just reporting what I have found.
Your thoughts?