THREAD: I've been doing a lot of reading on Error Level Analysis for image forensics and have tested various images out. It can be quite hit or miss, but one thing it is great at is detecting forged documents. (I faked my name onto this certificate image). #osint #verification 
Sadly, it is not perfect, and if an image is lightly edited with content of the same error level (eg things move around in the same image), then it is much harder to detect.
A lot of contextual analysis is needed. For example, the lettering on the drone may appear fake, as does the tag blowing in the wind underneath, but they are real. Edges often light up due to the nature of image compression.
That said, some edits are fairly obvious to spot...
My point is, don't use Error Level Detection's brightness as evidence of forgery or manipulation. It has false positives and negatives. Use it as a means to flag part of an image to be investigated further.
Finally, this tool is useful, but it's easy to see what you want to see. Confirmation bias is our biggest enemy. Many thanks to Reddit /r/photoshopbattles for the humorous content.
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