Abstract. We consider finite point subsets (distributions) in compact metric spaces. In the case of general rectifiable metric spaces, non-trivial bounds for sums of distances between points of distributions and for discrepancies of distributions in metric balls are given (Theorem 1.1). We generalize Stolarsky's invariance principle to distance-invariant spaces (Theorem 2.1). For arbitrary metric spaces, we prove a probabilistic invariance principle (Theorem 3.1). Furthermore, we construct equalmeasure partitions of general rectifiable compact metric spaces into parts of small average diameter (Theorem 4.1). §1. Introduction. Let M be a compact metric space with a fixed metric θ and a finite non-negative Borel measure µ, normalized by µ(M) = 1. For any metric ρ on M and any N -point subset (distribution) D N ⊂ M, we putand denote by ρ the average value of the metric ρ, given byWe write B r (y) = {x : θ(x, y) < r }, r ∈ T , y ∈ M, for the ball of radius r centred at y and of volume µ(B r (y)). Here T = {r : r = θ (y 1 , y 2 ), y 1 , y 2 ∈ M} is the set of radii, T ⊂ [0, L], where L = sup{r = θ (y 1 , y 2 ) : y 1 , y 2 ∈ M} is the diameter of M in the original metric θ .The local discrepancy of a distribution D N is defined bywhere (B r (y), x) = χ(B r (y), x) − µ(B r (y)), (1.4) and χ (E, x) is the characteristic function of a subset E ⊂ M.