Choices, choices Adrian Brown/Bloomberg via Getty
It鈥檚 surprisingly difficult to come up with a truly random sequence of numbers or items. Doing so requires cognitive skills such as memory and attention, as well as a sense of complexity.
鈥淥ur brains are wired to find patterns even where there are none 鈥 for example, when looking at clouds or stars in the sky,鈥 says at the Karolinska Institute in Stockholm, Sweden, and the LABORES Research Lab in Paris, France.
Zenil and his colleagues have now found that our ability to think up random sequences peaks when we reach 25 before declining with age. This mirrors the evolution and decline of our cognitive abilities, suggesting that monitoring this skill could give an insight into these changes over time.
Advertisement
They asked more than 3400 people between the ages of 4 and 91 to complete an online assessment that included five tasks designed to measure their ability to generate random sequences. These included creating a hypothetical list of the results of flipping a coin 12 times and guessing which card would come next in a shuffled pack of cards.
To measure how random people鈥檚 answers were, the researchers used a concept called 鈥渁lgorithmic randomness鈥. The idea is that if a sequence is truly random, it should be difficult to create an algorithm or computer program that can generate it. Statistics software provided an estimate of how complex this would be for each response.
Rise and fall
The ability to generate randomness was found to steadily increase between the ages of 4 and 25. It then gradually declined until the age of around 60, when it began dropping faster. This follows a 聽similar pattern to that of cognitive ability overall.
Age was the only factor that could reliably predict someone鈥檚 ability to create randomness, says Zenil. 鈥淣either gender, language spoken, beliefs nor education level had any impact,鈥 he says.
鈥淭his is the first time that we can see how randomness changes across the whole age range,鈥 says at the University of Potsdam in Germany.
If the results are further validated, it could be useful to add a random-generation task to cognitive tests used to monitor people with neurodegenerative disease, he says.
Journal reference: PLOS Computational Biology, DOI:
Topics:
