“…Arguably, most attention has been directed to differences caused by choice of optimality criterion, on both simulated and empirical studies (e.g., Felsenstein, 1978; Huelsenbeck and Hillis, 1993; Huelsenbeck, 1995, 1997; Yang, 1996a; Siddall and Kluge, 1997, 1999; Siddall, 1998; Wiens and Servedio, 1998; Siddall and Whiting, 1999; Huelsenbeck et al, 2001; Pol and Siddall, 2001; Swofford et al, 2001; Leaché and Reeder, 2002; Huelsenbeck and Lander, 2003; Kolaczkowski and Thorton, 2004; Yu et al, 2008; Puttick et al, 2017). However, a number of other factors could be equally influential on the inferred phylogenetic hypotheses, such as alignment of sequence data, indel coding, character weighting, model selection, heuristic tree‐search strategies, and representation of results such as optimal trees versus a variety of consensus trees (Chippindale and Wiens, 1994; Simon et al, 1994; Yang et al, 1994; Milinkovitch et al, 1996; Yang, 1996b; Morrison and Ellis, 1997; Simmons and Ochoterena, 2000; Simmons et al, 2001; Brandley et al, 2005; Ogden and Rosenberg, 2006; Zwickl, 2006; Brown and Lemmon, 2007; Kumar and Filipski, 2007; McGuire et al, 2007; Simmons et al, 2007; Li et al, 2008; Wong et al, 2008; Ward et al, 2010; Sanderson et al, 2011; Goloboff, 2014; Cabra‐García and Hormiga, 2020). Furthermore, in the context of total evidence analyses, combined matrices of molecular and non‐molecular data have attracted discussion, with emphasis on the role of phenotypic characters in large molecular datasets (Giribet, 2015; Lee and Palci, 2015; Chakrabarty et al, 2017; Koch and Gauthier, 2018; Martin et al, 2018).…”