Location data is nowhere near fine-grained enough to determine if an individual has gone to a ballot dropbox vs. the coffee shop next to it. And dropboxes are intentionally placed in convenient high-traffic areas. I would be very suspicious of these fraud claims just on how unreliable the data naturally is.
Besides, if you really wanted to rig elections with mail ballots, it's way more effective to throw away ballots than to stuff them.
The qualification was device ids that went to 10+ dropboxes, comparing the routes and stops, not the location point by itself.
For your explanation to be valid they would have to have stopped at 10 specific locations each by a dropbox. Those devices did those routes 30~ times each on avg.
Those routes include exiting off of highways, going down specific streets, then going to the next dropbox in a specific area. All at 3-5am when businesses were closed.
edit: to downvoters, please discuss the facts of the location analysis or voice what you're in disagreement about.
I haven't seen the video myself, but I'm interested in knowing more. Can you point to the timestamp where it makes these claims and how the analysis was conducted? Maybe there's something I'm missing.
You'd have to watch the full video in order for us to discuss it properly, you seem to be missing key details. However it is only available paid on demand (2000 mules dot com), not on a free streaming service.
The location analysis is explained throughout the film, but it's mainly after the intro and before going into the state security camera footage / general discussions.
The main point I was making it the location path and frequency of dropbox points is how they filtered people out. They only took people that went from one dropbox location to another dropbox location, at least 10 times. Then they analyzed how many times those devices went on those routes and how many devices met that criteria in total.
I'm skeptical of that site, without reviewing any of the details, simply because it said "Loader %" instead of e.g. "Loading 10%" when loading the content.
