While it is very possible to dismiss many claims using the rules of logic covered in the last installment of the series, you are still likely to encounter claims that, while adhering to the rules in their format, still warrant a bit of skepticism from you, the reader. This is because not all claims have credible evidence. Just to review from last week:
A statement is true if it is a positive claim and there is credible evidence to affirm it, while there is no credible contrary evidence that makes the statement untrue.
The most critical piece of any argument, given that it is a logical, positive statement, is supporting evidence. What remains to be added to our skeptic’s toolkit is a way to tell if evidence is credible, flimsy, or false. Some of the most common bits of misinformation are believed because readers either could not tell how bad the evidence really was, or were unable or unwilling to evaluate the credibility of evidence on their own. In this week’s article, we will go through what sort of things make good, affirmative scientific evidence, leaving the fallacies for their own shrine of dishonor next week.
The Scientific Method
The scientific method was developed and refined over the course of many centuries leading up to the modern day as a means to determine the objective reality of various physical processes. It accomplishes this using specific experimental processes, data gathering techniques, and rules of reasoning. When evidence fails to follow the guidelines of the scientific method in its acquisition and evaluation, it loses its objectivity, and therefore becomes less usable to others.
I. The experimental process
Not all scientific information requires experimentation. Most facts can be derived from observation of physical objects and phenomenon that are already occurring naturally. For instance, no experiment is needed to determine the average height of trees in the Sequoia National Forest; one only needs to go measure the trees and do the math. Scientific experiments are usually used to determine causal relationships.
1. Background.
Usually, when you are performing a scientific experiment, you are not doing it blind or striving for a totally random outcome. You start by reviewing literature of those who have come before you, or observing something in nature or the human world. You may see hints at a pattern, or may wonder about an area of science or a physical process that has yet to be tested. You use this background information to formulate the next part of the process:



