If we are talking decision theory may I suggest the following way of looking at it.
Let’s say 101 participants with 50% threshold. Your individual decision has the following effect depending on how the other 100 vote.
If 0-49 others vote red then your vote has no effect as majority will be blue however you vote.
If 51-100 others vote red then you voting blue kills 1 extra person (you!) compared to voting red.
If exactly 50 others vote red then you voting red kills 50 extra people (all the blue voters).
So, there are 50 scenarios where you can save 1 life by voting red and 1 scenario where you can save 50 lives by voting blue.
You decision therefore you be based on:
a) whether you value you own life more than others in the game (technically how much you value your life compared to the average blue voter!)
b) how you expect others to vote. If you expect more blue voters it should move you towards voting blue as the 50:50 scenario is more likely than each of the individual 51-100 red scenarios. Likewise, if you expect more reds it should shift you towards red.
So now it looks very like the 2 player version—a coordination game with the possibility of guaranteeing personal survival.
An alternative to the blender framing:
Everyone must press a red or blue button. If you press red you will survive. If you press blue you will survive if, and only if, more than 50% of people press blue. Everyone receives the same instructions.
I suspect that with that framing the red vote would increase significantly.