Statisticians have long argued that randomized controlled trials shoul
d be sufficiently large to achieve their purpose, and for common disea
ses with major public health implications this has brought many benefi
ts. However, there are many instances where it is unrealistic to expec
t clinicians to provide the information on which sample sizes are calc
ulated and undue emphasis on trial size can be counterproductive. Exam
ples of such trials are given and some general issues discussed, inclu
ding the unhelpful contribution of hypothesis testing, the need for re
plication and the role of the statistician.