Reply to comment
Outer space: Racing certainties

A few months ago I saw a TV crime drama that involved a plan to defraud bookmakers by nobbling the favourite for a race. The drama centred around other events and the basis for the betting fraud was never explained. What might have been going on?
Suppose that you have a race where there are published odds on the competitors of
to 1,
to 1,
to 1, and so on for any number,
, of runners. For example, if the odds are 5 to 4 then we express that as an
of 5/4 to 1. Now if we lay bets on all of the
runners in proportion to the odds so that we bet a fraction
of the total stake money on the runner with odds of
to 1 then we will always show a profit so long as the odds satisfy the inequality
![]() |
is less than
then our winnings will be at least equal to ![]() |

and
and ![]() |
However, suppose that in the next race the odds on the four runners are 3 to 1, 7 to 1, 3 to 2 and 1 to 1 (ie evens). Now we see that we have
![]() |
is big) there is is likely to be a better chance of
being greater than 1. But large
doesn't guarantee
. Pick each of the odds by the formula
and you can get
and a healthy 30% return even when
is infinite!
But let's return to the TV programme. How is the situation changed if we know ahead of the race that the favourite in our
example will not be a contender because he has been doped?

![\[ Q=\sum _{i=1}^{N}\frac{1}{a_{i}+1}<1, \]](/MI/970bbb1afe1d2b5e129a2ab1e0fea73f/images/img-0007.png)
![\[ W=\left[ \frac{\ 1}{Q}-1\right] \times \mbox{our total stake}. \]](/MI/970bbb1afe1d2b5e129a2ab1e0fea73f/images/img-0010.png)
![\[ Q=\frac{1}{7}+\frac{2}{9}+\frac{1}{3}+\frac{1}{9}=\frac{51}{63}<1 \]](/MI/04da95a0279c01266f80932671ed4df4/images/img-0003.png)
![\[ Q=\frac{1}{4}+\frac{1}{8}+\frac{2}{5}+\frac{1}{2}=\frac{51}{40}>1 \]](/MI/11848f7f0d798526fa85a01306998eac/images/img-0001.png)