pinpoint the exact cause and effect of any one
behavior on a population. For example,
consider the following statement:
When ice cream sales are high, the
frequency of shark attacks increases.
Therefore, sharks attack in response to
rising ice cream sales.Obviously, those two things are merely
correlated and not cause and effect. (The two
variables exhibit a common trait—the warm
season—when people are more likely to both
eat ice cream and swim in the ocean.) Yet it’s
easy to confuse correlation with causation
when you are relying solely on observational
data.
So, how did we come up with our dietary
recommendations?
We combined scientific research with
clinical experience.
We have scientific studies to back up our