I care about people having the ability to make informed decisions based on good information. People need to make important decisions every day about who to vote for, what policies to support, what medical information and treatment to accept, etc. and these decisions have profound consequences. Therefore, it’s important to know how to get good information and how to avoid getting tricked.
One way people are tricked is when they are told that “you can make statistics say whatever you want it to say” or “all research is of equal value, each side gets to use its own information”. In actuality, you cannot make good statistics say whatever you want and you do not get to make up the information or choose the information that you like best. Most importantly there are ways to figure out how strong the evidence is.
You may say that a glass of water is half full, or that it is half empty. Both statements are true but they are presented different ways. You may consider the decision between saying “half-full” or “half-empty” as “spin”. However, you may not say that the glass is 100% full if it is half full. And you may not say that the water is really soda. Those statements are lies. When Republicans talk about how, after 8 years in power with practically no opposition, they are the “outsiders”, that is misleading or lying, not spin.
One way to determine if one group is consistently misleading you is to figure out if what they are telling you is something that helps prevent you from being tricked or is something that ensures that they can trick you now and continue to trick you for a long time. Research studies are like currency. Some studies are of very weak strength, like pennies. Some are of strong strength like hundred dollar bills. (Strength is determined by the type of study, how well it is done and how unlikely it is that the results could have been manipulated, and how unlikely it is that conclusion can have come about by chance or something else.) There are ways to tell the difference.
If someone tells you—hey, pennies and dollars are worth different amounts, and that person wants to tell you how you can tell them apart, that person is trying to make it so that you will not be able to be tricked. She don’t want you just to take her word for it, she is giving you the skills to “check the math” yourself.
If someone else tells you—pennies and dollars can be worth whatever you want them to be worth. There is no way to tell them apart. And hey, I’ll give you two pennies for that dollar you are holding. Not only are they trying to trick you now, but by telling you that either there is no difference, or that you can make them whatever you want, they are ensuring that they can trick you for a long time.
Democrats are the first kind of person—the kind trying to help the population have the skills to understand on their own and wanting the public to have the power to avoid getting tricked. Republicans are the opposite—they present weak evidence as strong and vice versa based on what they want the population to think (on climate change, education, public health, natural disasters, teen pregnancy prevention, etc., etc., etc.) and then pushes the meme that each side can use its own “facts” and that there is no difference in research results. Fox ”News” goes even further in that they try to convince the population not to trust the accurate information because (legitimate) research “comes out of universities… and universities are liberal… so therefore you can’t trust it”. They are not only tricking the public now, but ensuring that they will be able to trick the public for a long time.
In response to: Oh, you can make statistics say anything you want.
Background: After a rehearsal, a fellow cast member said in discussion that “I learned that you can make statistics say whatever you want them to”. She also went on to say, “You can’t trust research from universities because universities are liberal and have liberal professors in them”. She didn’t want to hear that universities also have the people who are trained and qualified to conduct and analyze research and rejected the idea that there was a way to evaluate how strong or weak evidence is based on objective standards. No amount of rational discussion could sway her, because it’s all a matter of opinion, in her view.