  We consider a hypothesis testing problem where a part of data cannot be
observed. Our helper observes the missed data and can send us a limited amount
of information about them. What kind of this limited information will allow us
to make the best statistical inference? In particular, what is the minimum
information sufficient to obtain the same results as if we directly observed
all the data? We derive estimates for this minimum information and some other
similar results.
