Conflating worst-case asymptotic complexity with practical intractability commits the error Cobham and Edmonds warned against: mistaking mathematical elegance for physical reality.

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Alan Turing (implied reference to Cobham-Edmonds thesis)(in computational theory): Note: The statement refers to work by Cobham and Edmonds on the boundary between what's theoretically solvable and what's practically solvable on real computers.
Asymptotic complexity(in computer science and mathematics): A way of measuring how much harder a computer problem gets as the amount of data grows—focusing on the worst-case scenario as the data becomes very large.
Conflating: Conflating means mixing together or treating two different things as if they were the same thing, when they're actually distinct. It's a logical error where someone blurs important differences between concepts, ideas, or situations to make an argument seem stronger than it is. For example, conflating "being critical of a policy" with "being disloyal to your country" wrongly equates two separate things.
Intractability(used to describe problems that seem impossible to solve in practice): When a problem is so difficult for a computer to solve that it would take an unreasonably long time, even with the best algorithms.

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