GM4AJK
Senior Member
If only there were some scientific discipline one might apply to determine the likelihood of a second researcher choosing exactly the same coordinates in a manner not driven by any particular methodology other than convenience.
Given that AI is now solving problems in that old arcane discipline, I decided to ask Claude about the odds of an independent researcher selecting the exact same position to geolocate the compound. Claude said:-
Short answer: essentially zero if two people were pointing at random, but not vanishingly small if both were deliberately trying to identify the same specific feature (e.g. that shed/building) — those are two very different questions, and it matters which one you're asking.
The coordinate precision itself
The label shows 11.388432, 43.139749 — six decimal places. At this latitude, that's a grid cell roughly 11 cm × 11 cm on the ground. That precision comes from Google's coordinate encoding, not from anything a human actually controlled by hand — nobody is clicking with sub-meter accuracy on a touchscreen or mouse.
What a human click actually resolves to
What matters more is the pixel the person actually clicked, at the zoom level shown. Judging by the size of the buildings in this crop (structures that look like ~10–30 m sheds spanning ~100–150 px), the image is covering roughly 150–200 m across ~1080 px, i.e. each pixel ≈ 0.15–0.2 m on the ground. That gives on the order of 500,000–900,000 distinct clickable positions within just this cropped view.
- If a second person clicked at random anywhere in this scene, the odds of landing on that exact pixel are on the order of 1 in 500,000 to 1,000,000 — negligible.
- If a second person clicked at random anywhere reasonable on a full Google Maps session (not narrowed to this crop first), the odds round to zero for practical purposes.