Estimated User #64
46 IP addresses
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An IP address relates to the location of a user's computer or device, and a single person may have multiple IP addresses if they use different locations or networks. These IP addresses are grouped because they each submitted a fiction prompt longer than 30 characters that ended up in the same DBSCAN cluster—meaning the prompts are near-duplicates—from the same state (Province of Florence). Groups are merged transitively—if A and B share a near-duplicate prompt cluster, and B and C share another, all three are grouped even if A and C never shared a prompt directly.
7db6884aaa3d...
c2b3bb9c272e...
e548378fcdd5...
2ef4235c982d...
9add8a313de4...
98bedab76613...
89e9c3aff66f...
352dc00055ea...
f13a9fcf4b9d...
ebbe9d78e348...
95b225c0ad02...
544d7e4a9744...
e1e4a8f8d788...
817f33845fec...
e5df5583b2f1...
40a601e2d332...
e7150a1c0a1a...
67d276293a1d...
c82f01ba31a0...
c88af429b0fd...
35dfb2ab18af...
71d5efdc8c57...
51b0d02e5b4e...
e22dc4042765...
26ac069c737d...
6ef9f8c95de5...
primary
507384d4ca5c...
786b8dcaf514...
cfd003c1545f...
d97b480f3c36...
73d6b626f9a5...
66d0b52a06bc...
f706bd72ea5d...
34cf60f0eba9...
88230d18f81c...
0d83898f5218...
ceca45a2e0e5...
4cbd18bb907d...
f8bcf156837f...
7b427761bca6...
932a1bb5093c...
e922483a6e4e...
b2b1e14884e9...
380fd097cbe1...
7e824479bb1c...
2f76abbce7ab...
Why these IPs were linked — 7 shared prompt clusters
Each row is a DBSCAN cluster of near-duplicate prompts that two or more of these IPs each contributed at least one conversation to. Linking events are sorted by the number of IPs they connect (so the strongest evidence is first).
672
7db6884aaa…×33,
2ef4235c98…×23,
98bedab766…×16,
9add8a313d…×16,
89e9c3aff6…×15,
f13a9fcf4b…×13,
352dc00055…×13,
ebbe9d78e3…×10,
95b225c0ad…×9,
817f33845f…×7,
544d7e4a97…×7,
40a601e2d3…×6,
c82f01ba31…×5,
71d5efdc8c…×4,
6ef9f8c95d…×4,
51b0d02e5b…×4,
507384d4ca…×4,
35dfb2ab18…×4,
c88af429b0…×3,
0d83898f52…×3,
cfd003c154…×3,
e7150a1c0a…×3,
d97b480f3c…×3,
f706bd72ea…×3,
67d276293a…×3,
66d0b52a06…×2,
73d6b626f9…×2,
4cbd18bb90…×2,
34cf60f0eb…×2,
b2b1e14884…×2,
e922483a6e…×2,
ceca45a2e0…×2,
c2b3bb9c27…×2,
7b427761bc…×1,
26ac069c73…×1,
2f76abbce7…×1
12211
c88af429b0…×2,
e7150a1c0a…×2,
67d276293a…×2,
88230d18f8…×1,
26ac069c73…×1,
73d6b626f9…×1,
544d7e4a97…×1,
932a1bb509…×1,
352dc00055…×1,
7e824479bb…×1,
34cf60f0eb…×1
297
e548378fcd…×9,
e5df5583b2…×8,
7db6884aaa…×6,
e1e4a8f8d7…×3,
e22dc40427…×3
1475
26ac069c73…×2,
e7150a1c0a…×1
4272
c2b3bb9c27…×6,
786b8dcaf5…×4
4593
c2b3bb9c27…×4,
380fd097cb…×1
11962
e548378fcd…×4,
f8bcf15683…×1
Explore Story Permutations (10)
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Story permutations group this user's prompts into themes based on how similar their wording or meaning is. Click a group to see how the user's prompts evolved: within a selected group, each prompt is shown as a word-level diff against the previous one — green marks text the user added, and red strike-through marks text they removed. This reveals how the user revised, expanded, or pruned their prompts as they iterated. Jump to methodology →