Author Archives: Martin Héroux

The dark side of competition in science

Competition in science is ever increasing. Research funds are harder to come by and positions have increasing number of applicants. Being the first to publish a result has a disproportionately large impact on prestige and advancement. These problems were already present a decade ago when Anderson et al. (2007) published their paper entitled The perverse effects of competition on scientists’

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False-positive findings and how to minimize them

As scientists we collect data and look for patterns or differences. Because populations display variation and we are unable to collect data from all members of a population, statistical results will always possess a level of uncertainty. For example, it is common to set alpha to 0.05. This implies that if there is no difference or effect, there is a

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Why most published findings are false: the effect of p-hacking

In our previous post, we revisited the Ioannidis argument on Why most published research findings are false. Other factors such as p-hacking can also increase the chance of reporting a false-positive result. Such results are associated with a p-value deemed to be statistically significant, but the underlying hypothesis is in fact false. Researcher degrees of freedom As scientists, we have

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