 Parts 1 and 2 do not have to be ladders that will be kicked away once we reach a more realistic model. Instead, the three parts, 1–3, might work together to help the scientist achieve a deeper understanding of the complex system under study—a kind of understanding that an accurate description (alone) does not provide. The above is one of the alleged values of idealized models in scientific modeling; for more, see section 4.2 of the entry on  understanding  and the survey by Elliott-Graves and Weisberg (2014: sec. 3). Some Bayesians have argued that certain values of idealization are applicable not just in science but also in epistemology (Howson 2000: 173–177; Titelbaum 2013a: ch. 2–5; Schupbach 2018). For more on the values of building more or less idealized models not just in epistemology but generally in philosophy, see T. Williamson (2017).