Most gamblers realize that a probability such as one out of
six doesn't mean a hit is in the bag after five misses in a row.
It implies that over many instances, a span often glibly referred
to as "the long run," hits are expected on close to
one sixth of all trials. For instance, approximately six million
occurrences of seven for every 36 million throws of the dice.
Dividing 6 million by 36 million gives an average of 1/6 or about
16.67 percent.
Casinos rely for earnings on the edge or house advantage being
applied to enough betting decisions that tallies of outcomes are
close to the theoretical averages. The opposite for bettors. Players
depend for profits on sufficiently small numbers that departures
from the law of averages prevail and produce more than the projected
number of wins. Of course, the converse can happen during short
time spans, too. Frequencies below the anticipated averages are
possible, and may exhaust a bankroll more rapidly than a literal
interpretation of probability would suggest.
Nothing about statistics forces results into line in the long
run, however. For example, make believe a craps aficionado sees
one seven on 31 consecutive rolls. To average one out of six
on 36 tosses, the next five hurls must all be sevens. Assuming
nobody's played hanky-panky with the hexahedrons, the chance
of a seven is still one out of six each time.
To envision how the law of averages does work, suppose only
a single seven appeared in 36 rolls five less than expected.
The average is one out of 36, and the fraction 1/36 equals 2.78
percent. A far cry from the mathematicians' 16.67 percent.
Say the dice are thrown 324 more times. Here, 54 sevens and
270 other numbers are expected. The randomness responsible for
the dearth of sevens in the first 36 rolls could now yield an
excess, bringing the total for the combined 360 rolls to the
magical 60. But the law of averages doesn't hinge on such serendipity.
Indeed, sevens may also be wanting in the new 324 throws, perhaps
50 rather than 54. The total for the combined 36 + 324 or 360
rolls is 1 + 50 or 51 sevens. The average is 51/360 or 14.17
percent. The sevens "missing" from the first 36 rolls
haven't been "made up." The gap has grown. But the
average has gone from 2.78 to 14.17 percent, much closer to
the expected 16.67 percent.
Go further. Maybe another 3,240 rolls. A sixth of these, 540,
are expected to be sevens. What if only 530 occurred? The deficit
rose by 10 to 19. The average, however, is 581 sevens divided
by 3,600 rolls. This equals 16.14 percent. Closer yet to the
predicted average, despite the sevens continuing to be elusive.
At this point, inquiring minds will want to know just how many
rounds are needed to get to the long run where the averages
hold. Alas, there's no simple answer to this key question. Statistical
analysis offers a way to calculate the chance of being within
any given range of the expected value after this or that many
trials. But the full impact of the effect might better be illustrated
by a computer simulation indicating the number of rounds needed
before the actual frequency of an event gets to the theoretical
average and stays there through at least 25 more successes.
Such a simulation not only suggests how many rounds it takes,
but shows the enigma of how variable the number can be. In one
set of 10 tests, with an expected average of one out of six,
the actual frequency converged on 16.7 percent after as few
as 4,129 trials. The next lowest numbers of trials were 6,612
and 10,289. One of the 10 trials failed to settle at the average
after 100,000 attempts. Another required 75,930, followed by
54,945 and 39,203.
Which explains why there are winners and losers among the solid
citizens, while bosses who keep their games jumping needn't
worry about the bottom line. Unless, of course, they have thousands
of nickel-dime players and one or two really high rollers. And,
if you think about the averages, you'll understand exactly why.
Here's how the inkster, Sumner A Ingmark, interpreted this idea:
While many perturbations are statistically concealed,
One oversized phenomenon is readily revealed.