The psychological literature is full of studies that demonstrate how the humans’ limited senses can result in cognitive flaws and biases in our understanding of the universe. In fact, psychologists have pinpointed many specific biases that affect not only the way we see but how we think about and perceive the world. Confirmation bias, for example, is the tendency to notice, accept, and remember data that confirms what we already believe, and to ignore, forget, or explain away data that is contradictory to our beliefs. To make things worse, add the (unknown) limitations of instruments by which human probes the universe. The combined effects of human and instrument biases can result in erroneous conclusions and predictions.
Fortunately, many of such biases are now well understood by scientists, in particular, experimental physicists, observational astronomers and quantitative biologists. An example, is the well-known Malmquist bias in Observational Astronomy. Nevertheless, as our circle of knowledge expands, so does the circumference of darkness surrounding it, bringing new types of biases and selection effects with it, that might affect humans’ understanding of natural phenomena.
Back in 2008, I and my adviser – professor Robert Nemiroff – began to model the unknown selection effects and biases that might happen during the detection process and spectral analysis of Long-duration Gamma-Ray Bursts (LGRBs). Surprisingly, it turned out that apparently a large fraction of LGRBs go undetected by gamma-ray detectors (e.g. BATSE, Swift). In addition, a significant number of detected LGRBs are generally ignored in data analysis due to low quality data. The combined effects of the two biases, together with the unknown selection effects on the redshift measurements of LGRBs can artificially signify the strength of (or even create) some of the well-known LGRB spectral correlations. In particular, we found that a significant fraction (>19%) of BATSE LGRBs are likely inconsistent with the Amati relation at >3σ significance level. This would in turn undermine the utilities of LGRBs as cosmological tools to probe Dark Energy’s equation of state (e.g., Schaefer 2007, Amati et al. 2008).
Here is an example graph taken from Shahmoradi & Nemiroff (2011), demonstrating the extent of BATSE LGRBs inconsistency with the proposed Amati & Yonetoku relations for LGRBs: