Interestingly the predictions they came out with sort of work for Indian variant cases - though not hospitalisations and deaths.
How many hospitalizations and deaths will result is highly uncertain still.
All of this continues to highlight the chasm between expectations of modelling and reality.
There seems to be an (entirely erroneous) that models give a single point prediction of the future, and if that is out, then the model was "wrong".
Actually what is attempted is to give scenarios which cover possible futures to inform what might happen, and how different policy options might affect it.
Eg Indian variant - given the data we have modeling shows it's possible that this could cause a huge spike, do almost nothing or all points in between. So policy makers have to make a choice: do they take the risk, and how much mitigation (surge testing, local vaccination, caution to public etc) do they put in place.
With the original first wave it was much more black and white: either lock down or face 100s of thousands of deaths in short order.
None of this is "right" or "wrong".