Surviving BASE
Imagine some hypothetical guy from the future shows up and says... "You're going to die on one of your next N jumps!"
Loopholes and paradoxes aside, assume he is speaking the truth. What is the biggest N for which you would quit BASE?
Edited to add...
I realize this question can be confusing at first. So let's take it one step at a time to illustrate.
The guy comes up to you and says: "You're going to die on your next jump." Would you still jump? I doubt it. It'd be suicide.
Now the guy comes up to you and says: "You're going to die on your next jump, or the one following that."
Effectively this creates a fifty fifty chance you may die on your next jump. For all the talk from the fifty fifty crowd, I honestly don't believe there are many BASE jumpers that give themselves that low a success rate before they jump. So most would still quit...
Now the guy comes up to you and says: "You're going to die within the next ten jumps." Would you still jump now? You're given a one in ten chance that you're going to survive the next jump. It may be worth it, or not quite yet.
What if the guy says: "You're going to die within the next 10,000 jumps." Would you continue then?
So spend some time and think about where your sweet spot is. That's your N.
It's not important what your sweet spot is. It depends on the quality of the jumps and the quality of your life outside of BASE. It can also change over time. But if you happen to have a number, then realize the following.
If you have a low number, you're taking a rather suicidal approach to BASE. Apparently it's worth it to you. Great!
If you have a very high number, you're effectively assuming you're a good enough BASE jumper to survive at least N-1 jumps. That means if you pick a number that is higher than the highest number of jumps anybody has ever made, you are effectively saying you are a safer BASE jumper than every single person on the fatality list.
Granted, given that their fatalities preceded yours it gives you more information and arguably changes the probability dynamics. That's the whole point of learning from other people's mistakes.
Just sharing some food for thought here...