“…These three viewpoints are novel, especially so when considered jointly, because they shift attention away from the general statistical predictability of HGEs and bear directly on the practical relevance of HGE predictions and ML in entrepreneurship research (see Le´vesque et al, 2022;Wiklund et al, 2011). 2 Our study builds upon scholarly work on (i) how and why certain firms survive and grow, whereas others shrink and exit (e.g., Abootorabi et al, 2021;Coad, 2009;Coad et al, 2016;Davidsson et al, 2010); (ii) whether firm growth is nearly random (e.g., Coad et al, 2013;Derbyshire & Garnsey, 2014;Schneck et al, 2021;Soto-Simeone et al, 2021); and (iii) the predictability of rapid growth and HGEs (e.g., Coad & Srhoj, 2020;Coad et al, 2014;Henrekson & Johansson, 2010;Weinblat, 2018). We also refer to studies using ML methods to explore ventures' performance (e.g., Barboza et al, 2017;Blohm et al, 2022;Guzman & Stern, 2020;Kaiser & Kuhn, 2020;McKenzie & Sansone, 2019;Megaravalli & Sampagnaro, 2019;Miyakawa et al, 2017;Sharchilev et al, 2018;van Witteloostuijn & Kolkman, 2019; see also Bargagli-Stoffi et al, 2021).…”