spout like a whale
I'm going to spout out a bunch of stuff. I am willing to bet about a jillion leap dollars that something I say will be unclear or not be quite right, but here goes.
The stuff about fractional betting comes from this article.
I'm eventually going to try to address the topic of this thread. I have my own way of analyzing problems. My approach is to use actual calculations as much as possible before resorting to simulation or statistical mmethods. That seems to be the approach in the article I cited above as well.
fractional betting In theory if there was no such thing as a minimum bet then someone who always wagered a fraction of their current bankroll could never go broke making risk of ruin equal to 0%. Even if EV equals -100%, which is a sure loss, a fractional bettor could never theoretically go broke. Obviously a 0% risk of ruin is no guarantee of winning in the long run.
Optimal fractional betting In order to have an expectation of winning the prerequisite of a wager is that it has has positive EV. Someone could bet their entire bankroll on a relatively small +EV. If he is lucky he wins and otherwise is out of business. Conversely one could bet a very small fraction of bankroll on a relatively large +EV. If he is unlucky he's not hurt too badly but if he is lucky and wins then he doesn't profit by much. Each betting
strategy yields a differing rate of return. f* is defined as the fraction ofbankroll that yields maximum rate of return for average luck.
Consequences of wagering varying fractions of bankroll on +EV f* is defined as the fraction of bankroll that yields maximum rate of return for average luck. What happens when a fraction more or less than f* is wagered? If bet < 2f* then chance of being behind approaches 0
as number of trials approaches infinity. (The lesser the fraction is below 2f* the faster the chance of being behind approaches 0.) If bet=2f* then chance of being behind is about 50% as number of trials approaches infinity. As fraction increases above 2f* the chance of being behind becomes more and more as number of trials approaches infinity.
Now comes the somewhat paradoxical consequences for varying fractional bets. If a small fraction of f* is wagered then amount of expected winnings is relatively small and chance of being ahead is relatively large. As fraction of wager grows to f*, 2f*, 3f*, ...., ,100% of bankroll then expected winnings is very large even though chance of being ahead approaches 0! In other words the few that succeed by wagering extremely large amounts bring up the average expected winnings for the many that fail when betting big such that average expected winnings for this betting strategy is larger than any other!
In essence there is no such thing as overbetting +EV (with the caveat that what's right for an individual is a subjective decision.)
Hopefully back on topic
OK I've jumped through a few hoops to try to lay a basis to address the topic of the thread. Blackjack is different in the above points in that additional wagers can be added due to splits and doubles. If someone wagers f* on a round of blackjack then he will be wagering 2f* in order to double a hand. From above, a wager of f* has a greater expectation of being ahead after a
large number of trials than a wager of 2f* but has a lesser amount of expected winnings. What if basic strategy is altered by eliminating all doubles? It appears that a bs player would increase his chance of being ahead after many rounds but would have less money than a bs player
that doubled when called for. The doubling bs player would have a lesser chance of being ahead after many rounds but would tend to have more money.
There's no getting around the fact that doubling is riskier than not doubling. A player is free to accept or decline the additional risk with consequences as previously stated. The tradeoff between risk averse and EV maximizing is that with risk averse there is a greater chance of being ahead after many trials but with less expected winnings than EV maximizing. I would say that any other method of lessening risk would be similar.
That's all the jibberish I have for now.