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But because a machine learning model learns the boundaries of its world from its input data, just three people informed how any model using that dataset would interpret if 'childbirth' was emotional. This led to a perspective that has informed all of my work since: a dataset is a worldview. It encompasses the worldview of the people who scrape and collect the data, whether they're researchers, artists, or companies. It encompasses the worldview of the labelers, whether they labeled the data manually, unknowingly, or through a third party service like Mechanical Turk, which comes with its own demographic biases. It encompasses the worldview of the inherent taxonomies created by the organizers, which in many cases are corporations whose motives are directly incompatible with a high quality of life.

When we launched Beyond the blade earlier this year, we wanted to know how many young people and children were being killed by knives in the UK. Who are these young people being killed?, Where are they dying? Is the scale of the issue changing, and if so how? We spoke to experts about the number of children and teenagers affected in Britain and Northern Ireland. We checked with the Office for National Statistics, the Home Office, politicians, academics and thinktanks. But the answer to how many young people are dying every year, it seemed, was that nobody knows. So we started trying to find out. Until now, there has been no publicly available information about the demographic profiles of those who have died from knife attacks in the UK

Going beyond a surface level analysis of the statistics to delve deeper into the story A similar contrast can be seen in the census data on the religiosity of Australians. The census asks participants to state their religion. The answers reveal that while on the one hand Australians are becoming less religious, on the other they are becoming more religiously diverse. In the 2011 census, 68.3% of people identified themselves as having a religion. This was down from 69.5% in 2006. However, the census does not tell the whole story. It cannot tell us how often a person attends a church, mosque, synagogue or temple. It cannot tell us how often a person prays or performs some other religious ritual.

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.

When it comes to Sydney's perennial east vs west rivalry, there are plenty of opinions and stereotypes about the spray-tanned, salmon-wearing 'silver tails' and ugg boot-bound bogan 'westies'. And then there are facts. Here, we've used data to explore the actual differences between life in a selection of Sydney's eastern and western suburbs. Some of it's serious, some of it's fun. Nothing here is meant to be perjorative. Because there's no 'superior' Sydney - just different ones.

Advancement toward gender equality at work has slowed since the 1990s for three major reasons: people's attitudes stopped becoming more gender egalitarian, occupations stopped gender integrating, and the gender wage gap began decreasing at slower rates. Sociologist Paula England has called this phenomenon an "uneven and stalled" gender revolution, and there have been dozens of studies showing how the progress in gender equality experienced during and immediately after the feminist movement of the 1970s has not been sustained through the 1990s and 2000s. Does this stalled revolution play out in management positions, too? And if so, how? To explore this, I used data on full-time managers obtained from the U.S. Census and American Community Survey for the years 1980 and 2010 to examine three major factors that contribute to gender equality in the labor force: women's representation in management, the occupational gender segregation among managers, and the gender wage gaps that vary across managerial occupations.

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."