On unconscious bias in science

On unconscious bias in science
A woodcut of the Parallel Roads of Glen Roy from Charles Darwin's 1839 paper. Credit: Charles Darwin; Philosophical Transactions of the Royal Society of London

Science is never truly objective. Charles Darwin and his failed theory on the Parallel Roads of Glen Roy can provide an excellent role model, writes Jaboury Ghazoul.

"One long gigantic blunder": that's how Charles Darwin described his 1839 paper on the parallel "roads" of Glen Roy. Three perfectly horizontal terraces run along the slopes of Glen Roy, a valley in northwest Scotland. Explaining how they got there was a puzzle that perplexed geologists of the day. Darwin, recently returned from his round-the-world voyage on the HMS Beagle, was captivated by Charles Lyell's "actual causes" of geology, whereby landforms such as mountains arise from small successive episodes of uplift.

In Chile, Darwin had himself seen marine beaches recently elevated by earthquakes. Keen to prove his scientific credentials, the young Darwin set out to confirm the validity of Lyell's theory by showing that Glen Roy's parallel roads were marine terraces uplifted in the geologically recent past.

Wishful research

Darwin looked for seashells and barnacles to provide the evidence of marine origins. During eight days of fieldwork he found none. This he dismissed as simple lack of preservation. Lack of preservation also explained the absence of equivalent terraces in neighbouring glens. Nonetheless, Darwin wrote to Lyell, "I have fully convinced myself … that the shelves are sea-beaches, – although I could not find a trace of a shell, & I think I can explain away most, if not all, the difficulties." (9 August 1838.)

The "sea-beaches" turned out to be nothing of the sort. Soon after Darwin published his Glen Roy paper, Louis Agassiz using his glacial theory explained the roads as wave-cut platforms from glacial lakes impounded by ice dams. How did Darwin get it so wrong? His acute powers of observation and interpretation were subjugated by his desire to marshal facts in support of a favoured theory.

"Shoehorning" observations into theory

Science is never truly objective. We have favoured theories that we abandon reluctantly, and we interpret evidence through this prism. New ideas in science often attract excitement that engenders demand for confirmation, and before long a plethora of studies corroborate the new theory. Authors publishing such studies secure recognition, and journals secure citations. In the early development of a theory it is difficult to publish studies that go against the prevailing trend, creating a publication bias.

None of this implies intentional scientific fraud. Rather, researchers might give added weight, albeit unconsciously, to outcomes or data that meet preconceived expectations. Stephen Jay Gould called this "shoehorning" data into theory. Once a theory becomes entrenched, the most novel studies become those that challenge it. Publishing negative results becomes more acceptable with time, and a theory is adapted or ultimately rejected. Karl Popper's emphasis on refutation is all but forgotten, until refutation itself becomes novel.

The case of conservation

None of this matters much in my field of plant ecology, beyond taxing the pride of the researchers concerned. It is more serious when derived conclusions have applied relevance, by influencing resource management or environmental policies. In applied fields of research, there is more pressure to deliver evidence, and more to be gained in doing so – which can increase the likelihood of unconscious bias. This might explain contrasting conclusions on, for example, toxicity of pesticides on bees from studies funded by corporations or environmental organisations.

This brings us to value-laden sciences such as conservation. Conservation scientists have an agenda. Our science provides an evidence base for conservation action, set within the value that global biodiversity ought to be protected. Conservation science aims to justify this value by demonstrating the benefits of biodiversity to local and global communities. But how credible can these claims be if research serves a normative conservation agenda? We are not dispassionate observers. If we question the veracity of studies funded by agrichemical industries, then shouldn't the objectivity of research by avowed conservationists be subject to similar scrutiny?

It is commonly accepted that we need to save our declining bees for the sake of global food production. Without crucial pollinators, crops produce less fruit. Yet global continues to increase. The issue is clearly more complex than meets the eye. Perhaps studies that show no decline in crop production with fewer pollinators are less likely to be published. Factors unrelated to pollinators might affect crop production at large scales, or perhaps crops are declining in some areas but the shortfall is met by increased production elsewhere. Whatever the reason, the "pollination crisis" has been marketed to the media and policy makers as an urgent environmental problem that threatens food production, despite at least some evidence to the contrary. Is this environmental issue overstated, and does unconscious bias play a role? I don't know, but it would be naïve not to consider this possibility.

The wider concern is that unconscious bias in presentation of evidence could undermine the credibility of conservation science. This is critical when we seek to persuade those who do not share our values to come round to our way of thinking – that conservation is necessary. Our desire to conserve life's riches might incline us, however unintentionally, towards particular ways of collecting, interpreting, and presenting data. We should remind ourselves, as conservationists and as scientists, that we are vulnerable to unintentional bias even as we seek objectivity.

Darwin as ever provides an excellent role model. He reluctantly but completely acknowledged the failings of his own Glen Roy theory: "I give up & abominate Glen Roy & all its belongings … I do believe every word in my Glen Roy paper is false" (14 October 1862). On occasion, we might need to do the same, and we would be better scientists for it.

Provided by ETH Zurich

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