Abstract. Phylogenetic evidence for biological traits that increase the net diversification rate of lineages (key innovations) is most commonly drawn from comparisons of clade size. This can work well for ancient, unreversed traits and for correlating multiple trait origins with higher diversification rates, but it is less suitable for unique events, recently evolved innovations, and traits that exhibit homoplasy. Here I present a new method for detecting the phylogenetic signature of key innovations that tests whether the evolutionary history of the candidate trait is associated with shorter waiting times between cladogenesis events. The method employs stochastic models of character evolution and cladogenesis and integrates well into a Bayesian framework in which uncertainty in historical inferences (such as phylogenetic relationships) is allowed. Applied to a well-known example in plants, nectar spurs in columbines, the method gives much stronger support to the key innovation hypothesis than previous tests. The tempo of evolution is a subject of general interest to evolutionary biologists, from nucleotide mutation rates within populations to the proliferation of branches on the tree of life. At the macroevolutionary level, key innovation hypotheses (Sanderson and Donoghue 1994) have been put forth to explain unusual disparities in species number between clades. A key innovation is commonly regarded as a biological trait that promotes lineage diversification via mechanisms that increase the rate of speciation and/or decrease the rate of extinction (e.g., Hodges and Arnold 1995). (Hereafter, ''diversification'' will be used to convey the net change in clade diversity as a result of speciation and extinction.) Changes in the rate of lineage diversification are expected to leave an imprint in the phylogeny of the affected species, underscoring the importance of historical inference in studies of evolutionary innovations.Key innovation hypotheses are most frequently studied by correlation, which measures the degree to which multiple origins of a trait are associated with clades of unusual size. Correlations are appealing because they use phylogenetically independent datapoints, typically comparisons of sister clades, to demonstrate a general, repeatable effect on diversity by the candidate trait. Increasing the sample size in this way reduces the potential impact of other factors that affect diversification rate. A popular approach has been to compare the relative sizes of sister groups using nonparametric sign tests, for example, in studies of insect phytophagy (Mitter et al. 1988), plant latex and resin canals (Farrell et al. 1991), floral nectar spurs (Hodges 1997), and flower symmetry (Sargent 2004). Alternatively, parametric approaches make it possible to identify unusually large clades by fitting data to predictions of null models of stochastic cladogenesis, and this can increase the statistical power associated with trait correlations (Slowinski and Guyer 1993;Sims and McConway 2003;McConway and Sims 2004).I...