Hi Alex –
I think this is mostly a complaint based on looking a single calibration – but there are plenty of other similar plateaus in the calibration curves.
You're right, at a narrow scale of decades, these plateaus don't allow us to be very precise. At the scale of centuries, it's not really a problem.
More importantly, and I think this forum will agree 😉, is a Bayesian model that adds in other priors and multiple dates. Modeling dates with priors, as a group, is the recipe for overcoming calibration plateaus (
Manning et al. 2020;
Meadows et al. 2020;
Rose et al. 2022). For historic contexts in South America, we have this same problem – European artifacts allow us to introduce priors that address this. Similar to what you suggest, we use a pre-1532 prior, in a Bayesian model, and this gives you a new probability range that takes this into account. Using the Order or Difference queries, OxCal can give you more precise probabilities that an event was pre-1800, for example.
Hope this helps, Erik