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Kalleb's avatar

First, the central study you cite (Sacks et al., 2000) explicitly states that reliable breed-specific conclusions cannot be drawn due to misidentification of breeds, the absence of accurate population denominators, and the lack of controls for factors such as size, context, and owner behavior. Citing this study while simultaneously making strong claims about the danger or safety of a specific breed—whether to defend it or to condemn it—goes beyond what the authors’ own data support.

Second, the argument that low absolute numbers of fatalities imply a lack of public health relevance is statistically weak. Rare events can still exhibit meaningful differences in relative risk and severity. Public health analysis considers not only frequency, but also potential harm and preventability. Low incidence alone does not negate differences in risk.

Third, the hypothetical claim that “one in a million owners intentionally trains their dog to be aggressive” does not constitute an empirical control, but rather a speculative assumption. Without supporting data, this functions as a narrative explanation rather than a tested causal model.

Regarding German Shepherds, the claim that they caused 2.6 times more deaths in the “five years prior” is presented without a clear source, without population denominators, and without appropriate temporal alignment. Mixing different time periods and data bases without consistent controls renders such comparisons methodologically invalid. Moreover, focusing solely on fatalities ignores differences in size, strength, and damage potential, which are central variables when discussing lethality.

The use of ATTS temperament test results is also problematic. The ATTS does not measure aggression, attack probability, or real-world lethality, and the organization itself explicitly warns against using the test to compare breeds. Therefore, using pass rates as evidence of lower danger exceeds the scientific scope of the test.

Finally, although you correctly note breed identification bias, you fail to account for survivorship bias and injury severity bias. Smaller dogs may bite more frequently but cause less severe harm, whereas larger, stronger dogs may bite less often but produce far more serious injuries. Any analysis that focuses solely on bite counts or fatalities, without modeling injury severity, is fundamentally incomplete.

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Sam March's avatar

Cremieux's data is per capita based New York's mandatory dog registration.

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