Because a nutrient bias is built into the way science is done: scientists need individual variables they can isolate.

If unaccounted for these factors could obscure any individual variable.

No large multivariable analyses exist as yet to test the relative power of these individual prognostic variables.

An arithmetical formula may have free set variables and bound individual variables.

In truth everyone's experience is different and will be complicated by individual variables like early experiences, current living/work situations, traumatic events and social support.

The reference directions of the individual variables are not important, only their relation to each other.

The individual variables are then sampled one at a time, with each variable conditioned on the most recent values of all the others.

Neither of the two individual variables has much effect on sweetness but a combination of the two does.

Moreover, animal models offer very limited control of individual variables and can be cumbersome to harvest specific information.

The demand for affiliation is an individual variable and adjusted through early experiences.