Yes , absolutely . I had to leave one really good therapist because she reminded me so much of my mom that it kinda weirded me out , and I really like my mom . But talking to an almostmom about sex stuff was just really awkward and weird for me . <| sep |> They don ' t look similar at all . Both Asian , with glasses . OMG TWINSIES <| sep |> I ' m not crying , there ' s just something in my eye . <| sep |>? Can ' t find that . They spend a lot of time addressing the possible biases in the sample . Ultimately it ' s probably one of the best samples that exist , IMO . Keep in mind that the nonpaternity rate probably varies widely from country to country . Primarily according to income and standard of living , I imagine . As a second advantage of investigating such screening data , typing routinesstipulate that unintentionally identified cases of nonpaternity have to remainsecret and must not be communicated . Mothers and potential nonfathers aretherefore not forewarned and not encouraged to drop out from the screening . Moreover , the thorough testing of both parents is important to crossvalidate theHLA pattern of the patient . This guarantees that every effort is made to investigate both the mother and father of a sick individual . Additionally , the urgent need to find an appropriate donor usually leads both parents to comply with therequest to undergo the typing procedure . For these reasons , among all samplesthat may possibly be collected to estimate nonpaternity rates , samples collected inthe course of a bone marrow donor search for the purpose of HLA typing offamilies perhaps most closely meet the requirements of a truly random sample ofthe population . This conclusion , however , rests on the premise that the sampleunder investigation is drawn from a population in which each individual hasequal access to medical care in case of a bone marrow disease . Given that thereis a universal , statesupported health care system both in Germany and inSwitzerland , the present sample and that of Sasse et al . 1994 meet this requirement . It is therefore remarkable that Sasse et al . 1994 observed only 8 exclusions in the 1 , 264 families they investigated , resulting in a maximum likelihood estimate ofthe nonpaternity rate in Switzerland of only 0 . 64 %.