In the standard model for structure formation, bound objects originate from
the gravitational collapse of small perturbations arising from quantum flu
ctuations with random phases. In other scenarios, based on defects, structu
res are seeded by localized energy density. In principle, it is possible to
differentiate between these models on the basis of their statistical prope
rties; only in the former case is the initial density field an almost-perfe
ct random Gaussian held. In this paper, we investigate the use of the tri-s
pectrum of the galaxy density field, which is the connected four-point func
tion in Fourier space, as a discriminant between Gaussian and non-Gaussian
models. It has the advantage of having only weak nonlinear growth. We defin
e a related statistic tau which, as a test of the Gaussian hypothesis, is i
ndependent of cosmology, the power spectrum, and biasing, in real space, an
d which is, in principle, a measure of the departure from Gaussian statisti
cs. For galaxy redshift surveys, the statistic depends on cosmology and bia
s only through the potentially observable parameter beta. We compute the ex
pected errors on the estimate of tau, and demonstrate with numerical simula
tions that it can be a useful discriminant of models, with the important pr
oviso that any bias is linear on large scales. Whether it is the most effec
tive method is uncertain and depends on the nature of the departure from Ga
ussianity.