# Articles on Statistics probability and risk

## People are spending hours clicking on a banana to (maybe) make some money. A 300-year-old behavioural economics theory explains why

The new game, which is ranking highly on Steam, involves repeatedly clicking a banana in the hope of maybe – eventually – getting a rare ‘skin’ to trade for real money. And that’s it.

## Acapulco was built to withstand earthquakes, but not Hurricane Otis’ destructive winds – how building codes failed this resort city

The best science is not always the best engineering when it comes to building codes. It’s also a problem across the US, as an engineer who works on disaster resilience explains.

## If 1% of COVID-19 cases result in death, does that mean you have a 1% chance of dying if you catch it? A mathematician explains the difference between a population statistic and your personal risk

It’s not entirely accurate to say that you’re more likely to die in a car accident than in a plane crash. Chances are, you’re not the average person.

## It’s impossible to determine your personal COVID-19 risks and frustrating to try – but you can still take action

People want a simple answer. Is this action safe? But despite Anthony Fauci bouncing responsibility for COVID-19 risk assessment to individuals, your risk can’t be boiled down to one probability.

## Coronavirus is significant, but is it a true black swan event?

The danger of treating COVID-19 as an astronomically rare and improbable event is that we will treat it as such and fail to prepare for the next pandemic. And there will be another pandemic.

## Paradoxes of probability and other statistical strangeness

Sometimes statistics and probability can produce unexpected or counter-intuitive results. If we’re hoping to use numbers to make good decisions, we should be wary of the traps.

## Worried about shark attacks or terrorism? Here’s how to think about the real risk of rare events

We naturally overestimate the risk of rare events, like shark attacks or terrorism. But there are things you can do to think more rationally about the real risk.

## The seven deadly sins of statistical misinterpretation, and how to avoid them

Here are some all-too-common errors when it comes to interpreting statistics, and how to avoid them.

## Regression to the mean, or why perfection rarely lasts

Things tend to revert back to their typical state over time, so we should be careful not to mistake that for some other trend.