It is noteworthy that the C/d approach not only outperforms Q/s but also achieves impressive absolute accuracy. This method closely reproduces the experimental trends as phenol concentration changes. This is indeed a challenging task, given that the observed broadband reflects the complex network of non-bonding interactions that give rise to different populations of conformers as the concentrations increase. With minor deviations, C/d captures these experimental variations nearly quantitatively. In essence, its capacity to handle loosely bound, entropically driven conformers makes the C/d approach a compelling choice for systems governed by weak, non-covalent interactions. Of course, it is also possible to adapt Q/s approaches to incorporate the entropic effects in an effective manner, e.g. through Bayesian inference . In this context, our results can also be helpful to improve such methodologies.