# Algebra for Adulterers

## What every philandering politician and traveling salesman should know about the odds of getting caught.

Last month, the *Washington Post* reported on the April conversation between Susan Levy and her gardener in which the two stumbled onto what seemed to be an amazing coincidence: Both Modesto, Calif., parents had daughters who had had affairs with Rep. Gary A. Condit.

Even though the Levy gardener, Otis Thomas, recanted the allegation about his daughter's affair, the story still prompts this question: How many young women does a congressman have to sleep with in his district to generate a 5 percent chance—or whatever number you choose—that the parents will end up having this sort of intimate conversation?

I can work out an answer, but I have no idea whether it's right. Spurious precision is one of the cardinal mathematical sins, and to dance around it, I begin with the following disclaimer: My calculations are meant as an indication of the *methods* by which one might answer such a question. I'll try to be honest about the assumptions I make along the way, some of which are unwarranted and others of which I'm pretty sure are seriously false.

Let's start by simplifying the problem, assuming 1) fathers don't know about—or don't speak about—their daughters' sex lives, while mothers know everything; and 2) that each young woman has one mother and that each mother is attached to one young woman. Let's assume too that no one moves in or out of the district and that each mother has a finite set of intimate friends among the other mothers, all of whom she tells absolutely *everything* every day, so we can ignore all issues of time. We can now rephrase the question:

*What is the chance that two of a congressman's young lovers have intimate mothers*?

Much depends on the overall atmosphere of intimacy in the congressional district. Let's call the number of people in the district *N*, and let's say that a mother has, on average, *n* intimate friends. Then if two mothers are chosen at random from the district, the chance that they are intimate is approximately *n*/*N*. (If I have 10 friends, the chance that a random person from a population of 1,000 is my friend is 10/1,000 or 1 percent.) So the chance the two mothers are *not* intimate is (1 - *n*/*N*).

Let *g* be the number of girlfriends the congressman has; then the number of pairs of mothers he has to worry about is about (1/2)*g*^{2}. How did I determine that? To specify a pair of mothers, we have to specify Mom 1 and Mom 2. There are *g* choices for Mom 1. For each of these choices, there are *g* - 1 (which is approximately *g*) choices for Mom 2. So, there are *g*^{2} possible pairings of mothers in all. But because we've counted both (Mom 1, Mom 2) and (Mom 2, Mom 1) as pairings, the number of *different* pairs is about (1/2)*g*^{2}. To be precise, the exact number is (1/2)*g*(*g* - 1). Five congressional girlfriends, for example, would produce 10 unique pairs of mothers. Count them yourself, if you are so moved! If you think fathers are as talkative as mothers, you should multiply our figure by 4 to get 2*g*^{2} pairs of parents. We'll stick with the smaller number.

Now comes what we call a BFA, or "big false assumption": that intimacies between moms are *independent* events.

We say two events are "independent" if the occurrence of one doesn't affect the probability of the other. So "It is raining today" and "The next person I meet has blue eyes" are independent events. But "It is raining today" and "The next person I meet is holding an umbrella" are decidedly *not* independent. The occurrence of the first makes the second much more likely.

If two events are independent, it's easy to calculate the probability that both will take place. Suppose it rains 25 percent of days, and 20 percent of people have blue eyes; then the chance of "It is raining today" and "The next person I meet has blue eyes" is the product of the individual probabilities: 25 percent x 20 percent, or 5 percent. Without the independence assumption, this "product rule" is simply wrong. (See this Howard University law professor's discussion of the product rule as it pertained to DNA evidence in the O.J. Simpson trial.)

The fact of the matter is that intimacies tend to come in clusters. If Mom 1 is close to Mom 2, and Mom 2 is close to Mom 3, it becomes more likely that Mom 1 and Mom 3 share secrets over the fence as well. Moreover, one might predict the presence of "intimacy hubs"—a small number of women who talk freely to a very large number of others. This kind of clustering behavior is quite common in real-life networks like airline flight maps and the World Wide Web. Researchers such as Albert-László Barabási of Notre Dame have developed quite sophisticated models for networks with these clustering properties. We'd like to use the work of Barabási and his colleagues here but two problems intervene: First of all, there's no empirical evidence that the networks of intimate acquaintance are of the kind Barabási studies. Second, even if the intimacy network were of this kind (and it seems reasonable to guess that it is), we don't know how, without the product rule, to estimate the probability that no two mothers in our sample are intimate.

To sum up: The independence assumption is false, and we shouldn't apply the product rule.

Next step: Go ahead and apply the product rule. Remember, there are about (1/2)*g*^{2} pairs of moms, and each one has a (1 - *n*/*N*) probability of being non-intimate. So, the chance that *all* pairs of moms are non-intimate is about

.

According to the Census Bureau, congressional districts contain an average of 28,000 18- to 24-year-old women each. Let's say their mothers have an average of five intimate friends apiece. Then the chance of the congressman *avoiding* any unpleasant revelations is

.

If the congressman has 10 young girlfriends, this comes out to a 99 percent chance. If he has 20, a 96 percent chance. If he has 50, an 80 percent chance. The loving legislator would have to romance 88 of his constituents before he'd create a 50-50 chance that two moms would talk.

Now that's just the kind of spurious precision I was talking about. The numbers above depend not only on the BFA but on our smaller false assumptions about mothers and their conversation habits and on our outright guess about the average number of intimates of each mother. So, what can we really say confidently? One is probably on safe ground saying that if the congressman has a dozen or two dozen girlfriends, there is a small chance but not a trivial one that he'll be caught out. Not one in a million but also not one in two. That's a wide range, but it's what honesty demands.

We can say somewhat less under our breath that if the congressman wants to keep his chance of discovery down to 5 percent, the number of girlfriends he can afford should vary in proportion to the square root of the number of eligible young women in his district. For instance, a promotion from the House of Representatives to the U.S. Senate would increase the district population by a factor of 57, which means our protagonist could keep a black book seven times as thick without increasing the risk the moms would meet. (By contrast, a move from the Texas governor's mansion to the White House allows for less than a fourfold increase in extramarital affairs.)

There's one more assumption we haven't mentioned: that congressmen mate randomly. Do they? The good thing about ultra-rough computations like ours is that we can safely say: close enough.