what does "stretching things a little bit" mean

hi, can anyone please explain the meaning of "stretching things a little bit" to me?

I am some difficulty understanding the following paragraph:

"Don't forget the importance of the mean parameter when discussing the different results for the loose and tight priors. A tight prior located away from the true parameter value would not improve the precision of the estimate. Saying that a more or less uniform prior induces bias is stretching things a little bit. I would argue that it is more about the data not being terribly informative and the resulting large variance translates into a "bias" when the parameter space is restricted from above but (effectively) unrestricted from below."

Many thanks,