A bad sampling technique can make a mess of a statistical project.

A classic example was a poll done during the great depression (some time between 1929 & 1936). The pollsters picked random people from telephone directories. At that time, only fairly affluent people had telephones, resulting in a biased sample and erroneous results.

Another way to get a biased sample is to advertise for volunteers.