I have been poring over some manuscripts recently and realized that there are some words which are best avoided in any scientific paper. Hopefully I would not use them myself and I would find myself grimacing if someone else used them.
Probably the most verboten word is "prove". There is no proof in science, only in mathematics. Especially in science where almost everything we do consists in building a model; whether it is a protein-ligand interaction model, stereoselective organic reaction model, or transition state model. A model can never be "proven" to be "true". It can only be shown to correlate to experimental results. Thus anyone who says that such and such a piece of data "proves" his model should get the referees' noose right away.
So what would be a better word? "Validate"? Even that sounds too strong a word to me. So does "justify". How about "support"? Perhaps. I think about the best thing that all of us can say is that our model is consistent with the experimental data. This statement makes it clear that we aren't even proposing it as the sole model, only as a model that agrees with the data.
Even here the comparison is tricky since all pieces of data are not created equal. For instance one might have a model of a drug bound to a protein that's consistent with a lot of SAR data but somehow does not seem to agree with one key data point. The question to ask here is what the degree of disagreement is and what the quality of that data point is. If the disagreement is strong, this should be made clear in the presentation of the model. Often it is messy to tally the validity of a model with a plethora of diverse data points of differing quality. But quality of data and underreporting of errors in it is something we will leave for some other time.
For now we can try to keep the proofs out of the manuscripts.