“…Let X denote a uniformly distributed vector inside a convex set K ⊂ R n of volume one. In its weakest form, a conjecture of Antilla, Ball and Perissinaki [ABP03], states that for some non-zero vector θ ∈ R n , the random variable X, θ is very close to a Gaussian random variable. That is, the total variation distance between the random variable X, θ and a corresponding Gaussian random variable, is smaller than ε n , where ε n is a sequence tending to zero, that depends solely on n. In this note, we verify the following (see Theorem 5.5 for an exact formulation): Proposition 1.5.…”