Exponential growth is frequently underestimated, an error that can have a heavy social cost
in the context of epidemics. To clarify its origins, we measured the human capacity (N= 521) …

Background Claims of inconsistency in epidemiological data have emerged for both
developed and developing countries during the COVID-19 pandemic. Methods In this paper …

Humans tend to systematically underestimate exponential growth and perceive it in linear
terms, which can have severe consequences in a variety of fields. Recent studies attempted …

Scientists prominently argue that the COVID-19 pandemic stems not least from people's
inability to understand exponential growth. They increasingly cite evidence from a classic …

Mathematical concepts are regularly used in media reports concerning the Covid-19
pandemic. These include growth models, which attempt to explain or predict the …

Humans find it notoriously difficult to predict the future development of numbers in scenarios
where the data exhibits exponential growth. This study explored how employing …

Decades of research have shown that skill learning often unfolds exponentially—people
improve rapidly early on, and then performance gradually levels off. Given how important …

Skill learning usually unfolds exponentially—we improve rapidly early on, and then
performance levels off. However, we do not know whether people's representations of skill …

This paper draws on diverse psychological, behavioural and numerical literature to
understand some of the challenges we all face in making sense of large-scale phenomena …

In this paper, we critically reevaluate Koch and Okamura's (2020) conclusions on the
conformity of Chinese COVID-19 data with Benford's Law. Building on Figueiredo et …