If an experiment tested two variables at the same time would findings be reliable?

No, if an experiment tests two variables at the same time (without careful experimental design), the findings would likely be unreliable and difficult to interpret. This is because you wouldn't be able to isolate the effect of each variable. Any observed outcome could be due to:

* Variable A: The first variable having an effect.

* Variable B: The second variable having an effect.

* Interaction effect: A combination of both variables interacting in unexpected ways.

* Confounding variables: Other uncontrolled factors influencing the outcome.

Without controlling for these possibilities, you can't definitively say which variable (or combination) caused the observed results. This makes it impossible to draw reliable conclusions about the individual effects of each variable.

To get reliable results when testing multiple variables, researchers typically employ techniques like:

* Factorial designs: These designs systematically manipulate multiple independent variables and allow researchers to assess the main effects of each variable as well as their interaction effects.

* Holding variables constant: Keeping one variable constant while manipulating the other allows for a clearer understanding of the individual effects.

In short, while you *can* test multiple variables simultaneously, doing so without a proper experimental design will produce unreliable and ambiguous results.