[0]https://www.climate.gov/news-features/understanding-climate/...
[1]https://coast.noaa.gov/slr/#/layer/slr/3/-8927718.607502826/...
[0] https://coast.noaa.gov/slr/#/layer/sce/2/-9015288.864066828/... (select "view by scenario")
Indeed, given that unpredictable human behaviour is the main driver of the response, it is very difficult to construct a "most likely scenario". Instead, what can be said is "given an emissions scenario (or range of scenarios), these are the probabilities of different outcomes". The sea level rise scenarios themselves only describe the outcomes, and do not correspond to the probabilities.
The mapping between emissions scenarios and outcomes can be found in Table 4 here [0]. You may note that for low emissions scenarios the exceedance probabilities don't look too bad, but there is still considerable risk.
[0] https://tidesandcurrents.noaa.gov/publications/techrpt83_Glo...
Each can provide meters of sea level rise. You can check out Eric Rignot's presentations from youtube.
We don't know if the melting of such a gatekeeper glacier will take ten, fifty or a hundred years. But it has started.
You can't extrapolate this effect from just looking at recent past temperature and sea level rise - it's a whole different mechanism.
1. https://en.m.wikipedia.org/wiki/Palm_Islands#:~:text=The%20P....
If there is a good chance food production will drop significantly with the additional 0.5 degree, it probably makes sense to invest a lot to meet the goal of 1.5 vs 2.0. If the main concern is flooding and a smaller drop in food production, it might make more sense to invest in more intensive farming (we are certainly nowhere near the ceiling of easy gains here) and better infrastructure.
But the modelling is noisy, so no one can give you serious answers to "how will this affect people" that will meet your demand for precision. But the worst cases are all disastrous. Things like "we can't grow food in south asia to feed the 2-3 billion people there" are very much on the table.