There is a plague on modern science and Skepticism. That plague is over reliance upon research reports. Research report is a gathering of pre-existing data (the "re" in "research"), repurposed to find patterns. The problem is that many research reports are created to find correlations in support of predetermined conclusions (assumptions). Research reports are often formatted as scientific studies and published in science journals along side scientific studies that use the Scientific Method.
What is the Scientific Method? First, wonder about a phenomenon and ask a question. Conduct research on that question. Then, construct a hypothesis (a proposed explanation for the phenomenon). A hypothesis must be formed in such a way to be tested for being false (falsifiability). The subsequent test must be done in such a way as to try to disprove your hypothesis. Only after all of this can you analyze your data and form a conclusion from that data. The final step is to share your results for others to review and check, often in the form of their own studies. For a study to have value, its results must be replicated by others.1
The Scientific Method is valuable because it helps eliminate incorrect explanations for a phenomenon. For example, say someone as a hypothesis that lemons are yellow because someone paints them with yellow paint. You can test this in any number of ways. You can go to an orchard and watch the lemons grow, changing color as they mature. You can buy a lemon at a store and cut it, looking for a layer of paint. You can peel the lemon and send the skin to a lab to search for significant amounts of paint. Any of these tests would prove the hypothesis false. Someone else could create a new hypothesis about why lemons are yellow, knowing that the cause is not paint.
The limitation of an unscientific research report is that it only requires you to visit a grocery store to see that the lemons are yellow in order to confirm your assumption that they've been painted yellow by a person.
Research reports often lack several crucial steps compared to Scientific Method. First, the purpose of a research report is often to collect data in support of a pre-existing assumption. An assumption is different than a hypothesis because an assumption is not a proposed explanation for a phenomenon; rather an assumption is that there is a phenomenon ("someone is painting those lemons yellow", instead of asking "why are lemons yellow?"). Second, no test is performed in support of this assumption. Data is unscientifically collected from different studies, reports and other sources rather than being the results of a direct test. There is certainly no falsifiability test. Third, the results of the collected data are often correlated to the original assumption rather than standing on their own within the conclusion.
What's wrong with correlation between data sets? Correlation is an indicator, but it is not a identifier. The common phrase is "correlation is not causation." It is extremely easy to correlate unrelated things. There is a website dedicated to just this. This is why the Scientific Method requires a falsifiability test. It eliminates the reliance on correlation.
Now, this is not to say all research reports are bad. A research report that uses the Scientific Method to analyze data in a way that can be demonstrated with falsifiability does have value. But, it is very hard tell good reports apart from bad reports using quick Twitter or reddit title links. You have to read the report to know if it has value or if it is pseudoscience. You have to read the whole report because the report's title and conclusions often do not even match-up the data within the report.
Now, this is not to say all research reports are bad. A research report that uses the Scientific Method to analyze data in a way that can be demonstrated with falsifiability does have value. But, it is very hard tell good reports apart from bad reports using quick Twitter or reddit title links. You have to read the report to know if it has value or if it is pseudoscience. You have to read the whole report because the report's title and conclusions often do not even match-up the data within the report.
This is where I run into issues with Skepticism. Skepticism tends consider any conclusions of a published research report (in support of presumed consensus) to be the same as studies using the Scientific Method. Opinions regarding concepts outside the presumed consensus are immediately rejected (even if they are published) without regard to the quality of the report or study. I cannot count how many times I've read a promoted research report, only to find that the evidence in the report is based correlated cherry-picked data. Blind acceptance of research report conclusions is a big problem with Skepticism, especially as it grows in popularity among Atheists and other non-religious folks. I've seen seen sources such as "skeptic" magazines that site unscientific research reports as though they are undeniable fact. It is a problem being exacerbated by the ease with which (mis)information flows on the Internet through various social media and various other media outlets.