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A great visualisation of the income distribution (using a frequency distribution) to illustrate the change over time.

If you look at marathon times, you see most people run somewhere in the middle (4 hoursish), with a few under 3 hours (?!) and over 6 hours (very sensible). If you plot this data in a histogram, you can also see that there are spikes...people run just under 3, 3.5, 4, and 4.5 hours - you can see that people have a goal (of a nice round number) and the times are distributed accordingly.

The histogram is one of my favorite basic chart types, because it lets you quickly see the shape and distribution of a dataset. However, a lot of people don't know what a histogram shows or how the chart works.

How does the "smashed avo" hook shape this discussion? Look at how statistics are used in this report to inform the debate and critique a narrow perspective. There's no doubt there are differences between the experiences and opportunities of young people compared to their parents. But when you enter the smashed avocado debate of baby boomers versus millennials, you overlook the inequality between members of the same generation. This also misses other ways inequality is perpetuated, such as through the intergenerational transfer of wealth. It's uncomfortable for many to admit but Australia is a hugely unequal society, both in terms of incomes and wealth. Australian households in the top 20% account for half of the income stream, that's about 12 times more than the bottom 20%. At the far ends of the distribution, the average weekly after tax income of the top 5% is 13 times that of the bottom 5%. But this isn't just an artefact of wealth in different generations. There are multiple ways we can glean this, most notably in relation to poverty.

A great data-story on the gender imbalance worldwide, using data and research to investigate and highlight key issues. This piece in the economist takes a different approach to using the data https://www.economist.com/node/15636231 "In 1960, the earliest year the World Bank provides data for, the world was within 0.002 percentage points of a perfectly equal distribution. Ever since, the gap has widened; now men outnumber women on the planet by more than 66 million. When this piece was first published in early 2014, the gap had already been the widest ever - the trend continues."

The reasons for the disparity in pay vary from company to company but the broader source of the gap can be seen in the distribution of high earners by gender. Of all the companies that have reported to date the top pay quartile, the highest paid 25% of employees, is male-dominated. Almost two-thirds of the top quartile is made up of men, while conversely 57% of the lowest-paid employees are women.

As Omicron surges through the community, getting the right answer from a Rapid Antigen Test (RAT) is not as straightforward as reading one or two lines off the kit. RATs are a convenient diagnostic tool to detect COVID virus fragments in nasal secretions or saliva. They are designed to be self-administered and give an answer in minutes. Detecting infection early is critical to preventing spread and allowing persons at risk of severe disease to get timely access to close monitoring and new life-saving therapies. As governments plan to distribute tens of millions of RAT kits to schools and workplaces in coming weeks to help Australians work and study safely, it is important that we understand how to best use this diagnostic tool to reduce transmission and unnecessary disruptions to our lives and economy.

Is income inequality growing (in America)? This article discusses the issue, and uses a chart from the Financial Times (and Pew research data) to demonstrate the change since 1971. Great visualisation and great discussion of what it shows.

On Friday, the Australian Taxation Office, as it does every April, released the latest batch of annual taxation statistics. And as ever, the data was used in rather contorted ways to suggest the budget needed to reduce the level of taxation paid by the wealthiest and to make it seem like the richest were the ones doing it tough. The other old chestnut that got a run in the Australian is that more school teachers actually use negative gearing than company executives. Again, is it really a shock that "while 72,000 investors were listed as company executives, 99,000 people claiming rental losses on their tax returns were either teachers, nurses or midwives"? Given there are about 300,000 more people working as teachers, nurses or midwives than there are company executives, does anyone really think that because 27,000 more of them might use negative gearing is proof of anything? The crucial thing is not the total number, but the proportion of teachers and nurses (and any other profession) who use negative gearing.