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Simulation


Simulation provides a way to examine the outcomes of a set of process rules (a model) given a set of starting conditions. People use simulations in a number of ways. The least acceptable way is to use it as a replacement for empirical studies that use real data. However if a model has been validated against real data, then, with some caveats, it can be used to predict outcomes using different starting conditions that haven't previously been examined empirically (in short, what-if scenarios).

Where simulation shines is in proving that, given a set of starting conditions, a proposed process can indeed lead to a claimed output. In other words, it provides logic check, which is particularly useful when the proposed model is simply to complicated to understand directly, or is not amenable to mathematical proof.

For example, suppose you are trying to explain why there are more girls in India the boys. You propose a provocative theory: that Indians have a preference for boy babies, so when a couple has their first child, if it's a boy they may stop. But if it's a girl, they are likely try again in hopes of getting a boy. Since gender of children tends to run in families, what happens is that "girl families" have a ton of children, while "boy families" have few kids. Ultimate result: more girls than boys.

A simulation can test your logic. You can program a world of simulated couples that follow these rules perfectly. Letting the simulation run, you can see whether, at the end, there are more girls than boys, and this "experiment" can be repeated thousands of times to see how often that set of rules leads to the result of more girls than boys.

The important thing to realize is that this says nothing about the actual reasons why there are more girls than boys in India. It is a theory, and we have tested the theory with respect to its internal logic. We have shown that in fact, the proposed process will lead to an excess of girls. But it doesn't mean that this is in fact the process that is actually operating in India: other processes could lead to the same result.

 

 

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