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The biggest flaw here is the dead drop system. It doesn't scale well and involves many more complex steps and people in the system.

For example, a drone on surveillance duty that continuously watches the area will be able to identify patterns and pick out possible outliers. Combined that video feed with machine learning and it may be possible actively identify dead drop participants.




If the system becomes that large and profitable, those surveillance drones are going to end up mounted on plaques like big game trophies.




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