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Here Are top Five reasons Why Science May not Always be Accurate.





What exactly is the issue with science? We're going to inform you about our top 5. We are accustomed to discussing all of science's marvels, yet it isn't without flaws. And everyone should know how to do it. So here's a rundown of the major issues in scientific research:




1. Convenience Bias

 

Because of a convenience bias in scientific research, we don't have a complete view of the world around us. Researchers are typically only able to study wild animals when and where the animals are present, as well as when the scientists have time to get into the field.


Most research is conducted during specific seasons rather than year-round due to an academic research schedule in which researchers teach and students are in school for the majority of the year.


Only 5% of over 2000 animal studies published in prominent journals over the course of 18 years looked at how many seasons interacted to alter an animal's biology, according to a recent research. In addition, male subjects are vastly overrepresented in the animal literature as compared to females. Because men do not have children.



Or studies don't differentiate between the sexes at all since researchers don't have enough animals to make a statistically significant analysis. The National Institutes of Health has urged for a better balance of male and female subjects in research, so hopefully this sex issue will be resolved in the future.numbers in studies. 





2. Sex Bias


 

While we're on the subject, men still outnumber women in science. Although there are more women studying science than ever before, the individuals in charge are still mostly men.



More men than women are hired for academic jobs following graduate school, and more men than women are published in famous publications, indicating that the scientific pursuit continues to favour men.



The most bizarre aspect of this is that both men and women in the sciences are to blame, as both sexes favour men two to one in situations such as employment.




Also Read: Creatine Myth and Fact: Creatine From a Medical Point of View





3. Publication bias


Publication bias refers to some publications' propensity for publishing scientific research that will be regarded as intriguing, resulting in more individuals citing it as a reference, and so being considered impactful.



It turns out that these publications also publish papers that are less reproducible and have higher retraction rates. Although they are fascinating to learn about, high-profile studies eventually turn out to be statistical coincidences when additional data is acquired.






4. Results bias


Scientists' "publish or perish" mentality has resulted in fierce competition to be published in the top journals. Those that are successful in becoming published can look forward to a variety of career perks.


As a result, it's easy to see how, in the rush to publish important research, academics may overlook negative results that could be very instructive, or even cherry-pick data for their analysis.


These are extreme examples, but when combined with personal unconscious biases, we've seen a spike in retractions and a drop in study repeatability in recent years.


Furthermore, scientists who are still establishing their careers are less likely to conduct studies that attempt to duplicate the findings of others. Being second brings no glory, even if it benefits the entire scientific community. 





5. Money Bias



All of this leads to the question of how science is funded. Money in the United States can come from both public and private sources. Due to shifting political agendas, only about 8% of academics who ask for government funding actually receive it.


Furthermore, basic research that could lead to long-term technical and economic benefits is underfunded since government funding favour "practical" research with more immediate and foreseeable payoffs.


Researchers aim for private financing to make up for deficiencies in public funding, which can lead to conflicts of interest that skew results. When funding is scarce, researchers must reduce the size of their labs and research endeavours. As a result, there will be less useful science done.


All of this may appear to be a disaster, but it can be remedied. Within the scientific research community, people are already attempting to enhance the publication process, discover new ways to fund scientific research (such as crowd-funding), and eliminate human bias from tests.


Our recommendation is as follows: Be patient with the process, be awestruck by science when it's due, and be cautious of the extraordinary. Do you think there's anything I've forgotten? What are your thoughts about our list?


Source: Seeker

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