The Retail Prices Index (RPI) is responsible for rising rail fares and student loan repayments.
A new approach to gathering data from football matches which uses cybernetics and AI could help coaches spot weak links in their teams.
Comparing crash rates between humans and self-driving cars requires more data than anyone currently collects. And some of it will be quite hard to figure out.
Australian cricket captain Steve Smith's play during the recent Ashes saw him hailed as one of the greatest Australian players. So what do the numbers say?
The squeeze on wealth in the middle class by those at the top is a long established trend in international inequality data. But the ABS doesn't provide this information.
The same-sex marriage postal survey gave Australians a chance to create data for social change. And that's rare.
Not everyone who could vote did vote in the voluntary postal vote on same-sex marriage. So what can we draw from the result if only four out of five eligible Australians took part?
We are observing two new phenomena. On one hand doubt is shed on the quality of entire scientific fields or sub-fields. On the other this doubt is played out in the open, in the media and blogosphere.
Although Puerto Ricans are American citizens, what happens on the island tends to stay there, at least in terms of economic data.
What makes someone more likely to succeed when the lights shine brightest?
Scientists have a big problem: Many psychological studies don't hold up to scrutiny. Is it time to redefine statistical significance?
How many healthy years of life do you have ahead before you become unhealthy – and then die? One model tries to find the answer.
Saturated media coverage of hurricanes like Harvey and Irma can make it seem like disasters happen all the time. Is the frequency of billion-dollar disasters really rising?
Humans behave like atoms when viewed from a distance.
Women will now be better informed when it comes to deciding whether it's worth undergoing another round of IVF.
No democratic government should be able to manipulate the public by getting a sneak peek at the data.
Today algorithms are ubiquitous, yet often misunderstood. Rather than mysterious entities, they're closer to recipes, and the quality of the output depends on the input – in their case, data.
Methods stemming from decades of research on disordered materials are used to describe algorithmic phase transitions, and to design new algorithms in machine-learning problems.
Even though the shift towards part-time employment has actually been happening for many years, it now appears to be slowing.
The unpredictability of women's tennis in 2017 should make us strongly question the performance of the official rankings – and not simply the players’ performance.