  I propose an approach to identify, among several strategies of phylogenetic
analysis, those producing the most accurate results. This approach is based on
the hypothesis that the more a result is reproduced from independent data, the
more it reflects the historical signal common to the analysed data. Under this
hypothesis, the capacity of an analytical strategy to extract historical signal
should correlate positively with the coherence of the obtained results. I apply
this approach to a series of analyses on empirical data, basing the coherence
measure on the Robinson-Foulds distances between the obtained trees. At first
approximation, the analytical strategies most suitable for the data produce the
most coherent results. However, risks of false positives and false negatives
are identified, which are difficult to rule out.
