This overbinding is true for membranes formed from both zwitterionic and anionic lipids, as exemplified by the a much larger effect of these cations on the lipid headgroup order parameters in the simulations than obtained from NMR measurements. We have shown that charge scaling via the ECC approach fixes this problem in a physically well-justified way and brings the simulation results in a quantitative agreement with experiments. This grossly improved agreement is demonstrated for membranes containing PC, PS and PG lipids by plotting the dependence of the lipid headgroup order parameters on the aqueous salt concentration for sodium and calcium chloride. The comparison to experiment of the results from ECC vs. standard non-polarizable force fields clearly shows the dramatic improvement charge scaling brings to the description of cation-headgroup interactions. The overestimated interaction between charged species within non-polarizable force fields has far-reaching consequences in biomembranes, since transmembrane proteins, the glycocalyx, and other species that interact with the membrane are rich in charged groups. All these issues are due to by wrong electrostatics, and we showed that charge scaling can to a large extent fix that. In the future, we plan to revisit the ECC force field development for biomolecules, starting the work from scratch, i.e., building up de novo a charge-scaled force field for water, ions, amino acids (and the corresponding peptides and proteins), phospholipids, nucleic acids, sugars, and other biologically relevant molecules. In this way, we will no longer be subject to potential overscaling due to reliance on existing force fields and inconsistent dielectric responses of water models. The challenge of building, from scratch, a new force field for biomembranes that is ECC-compatible would have been unsurmountable just a few years back. Developing a new force field is still a monumental task involving several research groups and countless iteration rounds, where mistakes are corrected. In fact, there is still a lot of manual work involved that justifies why all well-known force fields used to simulate biomembranes started their development more than two decades ago. Nevertheless, the constant increase of available computational power and the surge of computational techniques that potentially allow considerable automatization of such tasks (e.g., machine learning, 96 see below) make present day the right moment to attempt such an endeavor. If successful in our goal, we will eventually provide to the community an accurate force field that accounts for electronic polarizability in a mean-field charge scaling way such that it is fully equivalent to immersing the system into a dielectric continuum with the high-frequency dielectric constant.