Judging the quality of science sources

science-evidence

Note: this article has been substantially updated, just click the link.

 

Recently, I wrote articles on skepticism and debunking pseudoscience, both of which require large amounts of evidence. And of course, a true scientific skeptic needs to judge the quality of evidence, because individuals who push science denialism often cherry pick seemingly high quality science to support their beliefs.

A good scientific skeptic needs to decipher the science (or pseudoscience) in popular news articles, for example, to determine its validity. We should be critical, if not skeptical, of what is written in these articles to ascertain what is or is not factually scientific. We even need to determine the quality of science from the best to the weakest, so that we can determine the level of authority of the science before we pass it along to others.

With the social media, like Facebook and Twitter, which provides us with data that may not exceed a few words, then it’s even more imperative that we separate the absurd (bananas kill cancer) from the merely misinterpreted (egg yolks are just as bad as smoking).

Wikipedia is one place which can either be an outstanding resource for science or medicine, or it can just a horrible mess with citations to pseudoscience, junk medicine pushers. For example, Wikipedia’s article on Alzheimer’s disease is probably one of the best medical articles in the “encyclopedia”. It is laid out in a logical manner, with an excellent summary, a discussion of causes, pathophysiology, mechanisms, treatments, and other issues. It may not be at the level of a medical review meant for a medical student or researcher, but it would be a very good start for a scientifically inclined college researcher or someone who had a family who was afflicted with the disease.

Continue reading “Judging the quality of science sources”

GMO opponents are the global warming denialists of the left

This article has been updated, revised, modernized, and zombified. Read that one instead.

Scientific denialism (also known as pseudoskepticism) is the culture of denying an established scientific theory, law or fact despite overwhelming evidence, and usually for motives of convenience. Sometimes those motives are to create political gain for their supporters.

Two of the most annoying denier viewpoints are the darlings of the right wing: evolution denialism and global warming denialism. The former is more commonly known as creationism and  is mostly an American phenomenon, though it is known in other countries. In the US, creationism is a fundamental part of the Republican Party strategy across the country. The latter is sometimes mistakenly called global warming skepticism, because “skeptic” was stolen by the pseudoskeptics, but plainly is a right-wing belief across the world, often intersecting closely with the evolution deniers. In fact, much of the anti-evolution legislation pushed by Republican legislatures in the United States has an anti-global warming component.

Global warming or evolution is supported by a massive mountain of scientific evidence. Both are theories that are ” well-substantiated explanations of some aspect of the natural world, based on a body of facts that have been repeatedly confirmed through observation and experiment.” As I have stated before, rhetoric and debate are not going to refute these theories. We demand scientific data, produced in world class laboratories that have been published in top tier, high quality journals, subject to withering criticism. After time, they will either be accepted into the body of evidence or rejected. That’s how science works. It’s not a political debate where the person with the loudest voice wins. Continue reading “GMO opponents are the global warming denialists of the left”

Science does not require faith

Science denialists, whether they are creationists, global warming deniers, or anti-vaccinationists, are pseudoskeptics, who reject or ignore vast amounts of real evidence, just to maintain their point of view. Discussions with these individuals are generally frustrating because the denialists base their arguments on a very limited amount of education or background. As I’ve said before, at least with respect to vaccine denialism, they have spent no more than a few hours of research on the internet. Then using logical fallacies, whether it’s ad hominems, or appeals to nature, or  cherry picking data, they attempt to discredit the vast scientific and medical body of work, patting themselves on the back for their incredible skills in winning a scientific argument. Of course, most of the science against which they’ve been arguing has been performed by individuals with years of scientific education, training and professional research.

Is this research perfect? No, it isn’t. Nature has reported that a Japanese anesthesiologist, who authored over 200 “peer-reviewed” papers, is suspected of fraud on an epic scale. Over half of his papers are being retracted, and he has been dismissed from his faculty position in Japan. How he got away with this level of fraud is subject to a long discussion in the Nature article, but suffice it to say, there was a massive breakdown of the peer-review system at the level of his own university (which may be cultural in Japan) and by the way he published in a wide variety of journals, some of lower quality. I constantly point out that there are differences in journals, based on their impact factor (which is one way of measuring the amount of influence a journal has within the scientific community). However, and this is important, science is self-correcting, and in this case, it has corrected itself. Based on this one story, it would be insane to assume that ALL science is fraudulent. Even assuming a significant minority of science is fraudulent would be improper and not supported by any amount of evidence.  Continue reading “Science does not require faith”

Pseudoscience and vaccine denialism (updated)

We frequently use the term “pseudoscience” to describe the ideology of certain groups:  antivaccinationists, evolution deniers (creationists), global warming deniers, HIV/AIDS denialism, and almost anything in the areas of parapsychology, alternative medicine, and sasquatch. The science denialists (broadly defined as any group who rejects the scientific consensus on any subject without valid scientific support) always seem to be insulted by the word “pseudoscience”, even though the name is given to them both as a pejorative, but also because its based on their non-scientific, but scientific-sounding method of providing information.

In fact, there are several hallmarks that indicate to most educated individuals as to what is or is not pseudoscience. Real science is a systematic and rational method to organize and analyze “knowledge” into testable explanations and predictions. Sometimes, it appears that the anti-science crowd believes that science is just a word, not a philosophy which is organized as the scientific method. It isn’t some magical system that only smart people in secret ivory towers practice. The scientific method is simply a set of logical steps:

  1. Formulate a question: Based on observations of the natural world. Maybe you notice that sky is blue, and you ask “why is the sky blue?” Or “how do I design a vaccine to encourage the immune system to prevent a virus from causing a disease?” Of course, the questions can become much more complex as we make more detailed observations of the our world.
  2. Hypothesis: An hypothesis is a conjecture, based on the knowledge obtained while formulating the question, that may explain the observed behavior of a part of our universe. The hypothesis may be broad or very narrow. One could make a hypothesis that life can evolve on many planets across the universe. Or one could make a hypothesis that a drug can cure a disease in a small population of individuals. A proper hypothesis must include a null hypothesis, that is, the scientist must be willing to test that the null hypothesis is also false (a sort of double negative). This null hypothesis is that the new vaccine does nothing and that any disease prevention are due to chance effects. Researchers must also show that the null hypothesis is false. A scientific hypothesis must be falsifiable, meaning that one can identify a possible outcome of an experiment that conflicts with predictions deduced from the hypothesis; otherwise, it cannot be meaningfully tested. This all sounds complicated, but digested down to its simplest form, it means that a scientist is always willing to attempt to prove that the hypothesis is wrong
  3. Prediction: Once a hypothesis is developed, then the a prediction (or more than one prediction) is made based on the hypothesis. For example, if a vaccine is supposed to prevent a disease, then the prediction is made that it prevents some some amount of the disease above what would be assumed just by random chance. For example, without the vaccine it might be predicted that only 10% of individuals might be immune to the disease, but with the vaccine, it would be predicted that 85% would be immune. In all fields of science, the hypothesis leads to predictions which are different than what would be found simply by coincidence or randomness. Also, the hypothesis must be powerful enough to create more accurate predictions than alternative hypotheses.
  4. Test: This is the conducting of experiments or investigations to determine whether the real world behaves as predicted by the hypotheses. These experiments are observations which will agree with or conflict with the predictions; if they agree, then the confidence in the hypothesis will increase. On the other hand, if there is conflict, the confidence will, of course, decrease. Experiments should be designed to minimize possible errors, especially through the use of appropriate scientific controls. Medical and drug experiments utilize double-blind clinical trials to limit confirmation bias, a tendency towards confirmation of the hypothesis under study. 
  5. Analysis: This involves determining what the results of the experiment show and deciding on the next actions to take. The predictions of the hypothesis are compared to those of the null hypothesis, to determine which is better able to explain the data. In cases where an experiment is repeated many times, a statistical analysis such as a chi-squared test may be required. If the evidence has falsified the hypothesis, a new hypothesis is required; if the experiment supports the hypothesis but the evidence is not strong enough for high confidence, other predictions from the hypothesis must be tested. Once a hypothesis is strongly supported by evidence, a new question can be asked to provide further insight on the same topic. Evidence from other scientists and one’s own experience can be incorporated at any stage in the process. Many iterations may be required to gather sufficient evidence to answer a question with confidence, or to build up many answers to highly specific questions in order to answer a single broader question. Continue reading “Pseudoscience and vaccine denialism (updated)”

Pseudoskepticism from Australian vaccine denialists

As I discussed a few days ago, Meryl Dorey, the anti-vaccination crackpot, used her vaccine denialist Australian Vaccination Network (AVN) to set up the Real Australian Sceptics in a laughable and amateur attempt to co-opt the word “skepticism” by starting a website that is pure, unadulterated pseudoskepticism. In case you’re wondering, a pseudoskeptic (using the term as defined) refers to those who declare themselves merely “skeptical” of a concept, but in reality would not be convinced by any evidence that might be presented. Global warming “skeptics” are in fact pseudoskeptics who deny the evidence for global warming. Vaccine skeptics are really just pseudoskeptics who deny all of the evidence that shows vaccine’s benefits far exceed the small risks. And that there are no risks of vaccines causing autism. Continue reading “Pseudoskepticism from Australian vaccine denialists”

Anti-vaccine lunatics need a dictionary

The junk science and outright lies that can be found on the internet is enough to make one wonder if it’s even possible to cut through this noise to present what is actually scientifically and medically sound. Every day, there’s new internet meme that makes some outrageous, and barely rational, claim. If you produce expensive urine, it will prevent cancers. Or experiments on monkeys prove that vaccines cause autism. Or Mayans, who couldn’t even predict that Spanish Conquistadors were going to invade, supposedly predicted the end of the world in 2012. Seriously, why do people listen? Maybe that’s why a lot of bloggers take the time to debunk this stupidity, in the hope that someone researching some pseudoscientific claim, finds a few skeptical blogs that use snark, science, and logic to discredit them. Some blogs use all three! Continue reading “Anti-vaccine lunatics need a dictionary”