Undermines· strongTRN-E011
The Watters reanalysis: no shadow deficit, schedule-driven timing, unvalidated datasets
- what the source states
- Using two previously published datasets closely related to those in the Villarroel et al. studies: the uniform-random background assumption essential to the Earth-shadow analysis is false (feature counts are spatially heterogeneous, rising toward plate corners and edges, with geometric clusters and voids); after deriving the proper null distribution there is no statistically significant shadow deficit; the nuclear-test correlation becomes insignificant after normalizing by the number of observation days and is almost completely determined by the Palomar observing schedule; at least 91% of the features used in the ensemble studies belong to a set earlier removed for lying within 5 arcsec of catalog stars; a third of the reported linear-cluster features were not confidently distinguished from catalog stars; and it has not been shown that any features in these datasets represent optical transients.
- what we infer
- The most comprehensive undermining record in the case: it attacks the dataset definitions underneath both headline correlations, not just the statistics on top. Its force depends on how well its closely-related-but-not-identical datasets proxy the actual working catalog — the exact point the proponents' rebuttal presses.
- limitations
- Works from related public datasets rather than the exact 107,875-row working catalog used in the disputed papers.
- The vetted subsets it favors are much smaller; the proponents argue the resulting power loss can hide a real effect (TRN-E012).