And you're the first person who responded in such an open manner.
Everyone else just tells me I'm wrong.
I cannot believe I'm saying this but I think you might be right.
I went ahead and played around with a case where the player starts at 1 wants to move to 2 by making two bets (of any size between 0-1 inclusive). Hence I went to go graph the function to see if it was true and I got this:
https://www.desmos.com/calculator/obkfifgbnl
Where y = probability of succeeding
and d = the value of the first initial bet
Notice how at both d = 0 and d= 1 the probability is 0.495 as expected (as you are either betting nothing then 1 or 1 then nothing and both are equivalent cases). And in between you get a probability higher than the 0.495 offered for the single bet.
I've tried a few set values for cases where you split your value up to more than two and you do get a better result. I can only theorise that this is because as your bet size approaches 0 with the number of bets approaching infinity your expectation approaches 1.
However, what I do not understand at the present is why this is so. I almost fell out of my chair when the numbers came out (I checked like 6 times), as it's inferring that you can get better than what the house 'technically' offers. The problem with this is that your expectation is better than just flat betting and logically that doesn't make sense. Both should have the same expectation.
I'm going to mull it over.
Yes, I'm intrigued as well, I feel this should not happen and it should be wrong.
Beating the house edge should not be possible, that's the whole point...
It is still not going to beat the house.
What doog's strategy does is to lower your expected wagered amount and so lower your expected loss (house edge % * wagered amount) and equivalently increase the successful rate of hitting the target.