Eliminating bias/living with bias?

The scientific method and elements of bias are fundamentally at odds with one another. While the prior seeks to identify truth through objective analysis, the latter wishes to prove one's preconceptions through artificially created or filtered observations. Both the scientific method and bias are purpose-driven notions, both serve an intrinsic value. Arguably the more general and truly-lasting societal value is derived from our attempts at approximating truth through scientific methodology, compared with the more self-serving notions of reaffirming our preconceptions through bias. But what if we cannot really separate the two entities—the scientific method and bias? We have explored the theme of bias in previous EBSJ editorials from the perspectives of investigator, commercial, and even publisher bias [1]. We have also learned that characteristics , which favor publication in major scientific medical journals, are United States–based articles that report good outcomes and are commercially funded [2]. Efforts to eliminate bias for the greater good of medicine are still far from complete but the movement to 'rate' research based on its Class of Evidence (CoE) is important, as it is basically a rating of the presence of bias. Please look through the Science in Spine article in this EBSJ issue on " Class or level of evidence " by Dettori (page 9–12). Without oversimplifying its content, the entire article underscores the value of a 'high-class' study compared with a 'lower-class evidence' by enumerating the incessant awareness it takes to eliminate bias with every step of the way of a research project and why the rating of the evidence is so important. Ultimately it is bias-free evidence that reveals the truth behind a hypothesis, shows previously unknown cross-connections, and allows us to rationally formulate new and more effective treatments. The thought of improving upon nature through our medical interventions is perhaps one of the core motivators that has led us into the healthcare field in the first place. As physicians and healthcare providers, we by nature tend to be more optimists, we hope for improvement with our patients, and value positive achievements. However, this disposition may also lead us to displace negative experiences. Perhaps this is a helpful protective phenomenon as it provides us with capacity to move onward. But what if this core proclivity toward optimism is a problem in itself by introducing bias not only in our clinical medicine practices but also in our approach toward research? This unsettling thought …