Significant statistical bias in LDA measurements and how to adequately deal
with it is a subtle problem when dealing with turbulent flows. In order to
attempt a clarification we have performed measurements on a non-standard "
grid experiment" where a clear bias effect is found. We have investigated t
he effect of several corrective measures and find that best results, in the
sense of having the first moment converge to zero, are obtained when using
the time between events as statistical weights. The corrected time series
have been used to check for extended self-similarity (ESS). Even though no
scaling regime is seen for the third moment and the flow certainly is neith
er isotropic nor homogeneous, perfect ESS scaling based on the absolute thi
rd moment is observed up to the twelfth moment, extending into a time domai
n regime where the Taylor hypothesis of frozen turbulence is obviously viol
ated. Reversing the argument this indicates that the correction scheme need
ed can be experimentally decided on using the criterion stated above and es
pecially so if ESS is to be expected. Finally we have used the corrected da
ta to quantify the deviations from Gaussian behavior of the velocity differ
ence probability density function for a weakly turbulent flow. Through comp
arison with results on the Gaussian-Lorentzian distribution we find that th
e even part of the experimental distribution can be reproduced quite well b
y a single-parameter family of distributions with second moment equal unity
.