September Fun Fact
Our monthly dose of David’s fun fact is here for you to enjoy. Do you know where algorithm originates from – watch this and you soon will do!
Our monthly dose of David’s fun fact is here for you to enjoy. Do you know where algorithm originates from – watch this and you soon will do!
This summer Station10 was invited to take part in Peabody’s Young Ambassadors Leadership program where we had the opportunity to run data analysis workshops over a 4 week period. The focus of the workshops was to provide the young ambassadors with an opportunity to learn about data consultancy and get first hand experience in interrogating data.
The weekly sessions were designed to give the ambassadors the skills to review, interrogate and storytell with data. The programme they were working on had a focus on knife crime in London – an issue that, as a group of 13-18 year olds, they are acutely aware of and in some cases have experience of.
The publicly available datasets we used were provided by the Office for National Statistics. They showed data collected by police which included: recorded knife crime offences, stop and searches (for perceived knife crime offences), hate crimes and convictions that lead to prosecutions. Importantly, all of these datasets could be cut by time period, age, ethnicity and region.
Each session explored a different element of the data:
Going into this experience we were all unsure how best to talk to teenagers (in general), as well as not knowing how to get them to discuss and show an interest in numbers. It’s not a task any of us felt ready or equipped to do. However, as soon as we had presented the datasets, answered a few basic questions on the numbers and what the charts were showing, we were all struck by how well the groups were able to debate and contextualise what they were interpreting from the data. It provided a more nuanced look and understanding of the data used across the media and Met Police. Specifically, questioning the data collection, bias and ethics in the current reporting of these figures.
For example in session 3 we looked at a headline in The Sun newspaper: “How crime in London has soared under Sadiq Khan”, supplemented with a graph showing a single bar for knife crime, with the label “52%, knife crime up”.
This article stimulated a lot of conversation amongst the young ambassadors who compared the figures in this article to the statistics they had gathered from the Met Police data. They soon began to criticise the article, leaving them searching for deeper context asking questions such as:
In the final session it was great to see how the students logically argued their views, using the facts they have pulled from our sessions alongside their own experiences and knowledge of today’s society with factors like Brexit and economic stability. By the end of this session we could really see how the students had grown in confidence and had thought about their analysis and how it’s applicable to the wider picture.
The outcome of these sessions enabled the students to analyse Met Police data, pulling out some well known themes, as well as some lesser publicised elements. We cannot fault the analysis they gave us.
They cannot deny there has been a rise in knife crime, even if it has dipped slightly in a recent YoY comparison:
But the analysis on stop and search showed something that is rarely reported in the mainstream media:
Our takeaway from this experience is that in a world of misinformation, incorrectly quoted statistics and news populism, having voices that challenge the narrative of data analysis and the use of statistics is really important. Specifically, connecting the people the data “says” an issue is disproportionately impacting, and asking for their analysis will provide a more rounded interpretation and understanding of the numbers.
At Station10 we are always looking for charitable groups to support with data, as this experience has opened our eyes to the power of connecting those potentially impacted by an issue to the data representing the issue. Please get in touch with if you would like us to help you explore your data.
Data Source: https://www.met.police.uk/sd/stats-and-data