an assumption is valid in the case of two component irreversible copolymerization, as can be seen by inspection of the Mayo-Lewis equation wherein all rate coefficients appear in terms solely of reactivity ratios, and in some simplified forms of Scheme 1 as described by Lowry. and 𝜂 for the set of rate coefficients used to generate Figure but with varying values of the ratio k1/k7 with k1 held at a value of 1. Under these conditions the values of a and b, but not 𝜖 or 𝜂, varied with the value of k1/k7 (Figure ). Accordingly, the calculated rates for each possible reaction during a copolymerization simulation were significantly different between simulations when run with k1/k7 values of 0.1 and 10 (Figure ). Surprisingly, despite these differing values in reaction rates, indistinguishable predictions of comonomer consumption were produced between the two simulations and myriad others performed with significantly varying monomer compositions and rate parameters. The observed consistency across predictions of comonomer consumption confirms that the true magnitudes of homopropagation rate coefficients are inconsequential for fitting experimental data in the comonomer consumption form and justify the simplification of fixing both homopropagation rate coefficients to 1 during data fitting. Further, this simplification does not affect predictions of comonomer sequence determined through stochastic simulations (Figure ). Overall, the eight total rate coefficients in Scheme 1 can be lumped into 6 fit parameters (𝑟 D , 𝑟 E , 𝑘 * , 𝑘 ; , 𝑘 < , 𝑘 7 ), two of which (𝑘 * and 𝑘 < ) can then be treated as equal to equilibrium monomer concentrations, which can be routinely measured with high precision independently from copolymerization experiments. To explicitly distinguish when best fit values for rate coefficients are obtained under this assumption, we adopt the following nomenclature for the remainder of this manuscript: