Using data smarter is an attitude of mind. It’s characterised by those who choose to communicate simply, clearly, and effectively, by making sense of the signals and cutting out the noise. Above all, it’s about empathy, humanity, and appreciating the likely data tolerance of your audience.

After our fifth collection of six great guests, it’s a wrap for Season Five of Data Malarkey – the podcast about using data smarter. Your host, master data storyteller Dr Sam Knowles, picks out common themes and chooses his highlights from a lively series of conversations – recorded remotely, via the medium of Riverside.fm, between February and May 2024.

Thanks as ever to Joe Hickey for production support.

Podcast artwork by Shatter Media.

Voice over by Samantha Boffin.

In Season Five, our guests included:

Sir David Spiegelhalter, Emeritus Professor of Statistics at the University of Cambridge.

Olivia Jensen, Deputy Director and Lead Scientist at the Institute for the Public Understanding of Risk based out of the University of Singapore.

Sorin Patilinet, Senior Director for Marketing Effectiveness at Mars (who’s also the Marketing Engineer).

Ian Whittaker, founder of Liberty Sky Advisors, the award-winning city analyst specialising in media and marketing.

John Hibbs, Co-Founder of CoEfficient, a software as a service company that helps organisations grow by measuring performance from the human perspective.

And Sir Simon Baron-Cohen, Professor of Developmental Psychopathology at Cambridge University, and director of the Autism Research Centre.

Data Malarkey is taking an extended summer vacation and is having all of August off – and then some. We’ll be back with Season Six on 11 September 2024 with another eclectic group of guests from an ever-more diverse set of professions. We’ll be hearing from women and men at the top of their game from the worlds of publishing, consumer goods, political punditry in the wake of the U.K. General Election, journalism, neuroscience, and numeracy. As usual, their common approaches to using data smarter have lessons for us all. And we start with Ylann Schemm who is both the Vice President of Corporate Responsibility for Elsevier, the world’s leading scientific publisher and data analytics company, and Director of the Elsevier Foundation.

To find out how you rank as a data storyteller, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes to answer 12 questions, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, data storyteller Sam Knowles is joined by Sir Simon Baron-Cohen, Professor of Developmental Psychopathology at the University of Cambridge, where he also runs the Autism Research Centre. Simon has been working in the field of autism for approaching 40 years and is one of the world’s leading authorities on the subject.

Since the mid-1980s, the research he’s led and undertaken has led him to advance several different, complementary theories of the condition including: the mind-blindness theory, the prenatal sex steroid theory, and the empathising-systemising theory of autism and typical sex differences.

Some corners of autism research have a somewhat shady and disreputable reputation for their misuse of data; for drawing conclusions about the general population from tiny sample sizes that the data could not warrant. Indeed, it was in the wake of the MMR scandal that the charity Sense About Science was founded in the early 2000s – to encourage researchers to present their findings responsibly and the media to report them responsibly – and Sense About Science’s director, Tracey Brown, was a recent guest on Data Malarkey.

By contrast with the shady stuff, Simon’s research has been a shining light of empiricism and evidence-based, data-driven truth, with sample sizes sometimes in the tens or hundreds of thousands. His 2018, empathising-systemising study famously collected data from 36,000 autistic people and 600,000 non-autistic people.

Described by the medical journal The Lancet as “a man with extraordinary knowledge … his passionate advocacy for a more tolerant, diverse society, where difference is respected and cultivated, reveals a very human side to his science” it is our honour to welcome Simon to Data Malarkey. A very fitting, very high-profile end to Season Five, a season bookended by two great Cambridge minds, as we started with Professor Sir David Spiegelhalter.

To secure Simon as a guest on Data Malarkey, I’m delighted to say I had to drop my son Max’s name. At the time of recording, Max had recently hosted Simon at an excellent event run by the recently-reborn Cambridge Psychology Society, of which Max is now President. At the university, he is studying Psychological & Behavioural Sciences. #proudfather

EXTERNAL LINKS

Profile of Simon on The Lancet – Psychiatry site https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(15)00461-7/fulltext

The Autism Research Centre https://www.autismresearchcentre.com

The extraordinary output of 750+ articles from the Autism Research Centre on PubMed https://pubmed.ncbi.nlm.nih.gov/?term=simon+baron-cohen&sort=date

Auticon, the social enterprise on a mission to improve the employment prospects of neurodivergent people, whose board Simon advises https://auticon.com/uk/

To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, data storyteller Sam Knowles is joined by John Hibbs, the Co-Founder of CoEfficient, a company that helps organisations grow from the human perspective. It does this by gathering genuinely useful feedback from those who work for an organisation and then deploying this intelligence in the most productive way possible, to drive both individual and organisational growth.

Founded on the principle that businesses are simply groups of people, CoEfficient gives hearts and minds that make up a business a voice, ensuring that they feel heard and are valued. This – John believes – is what enables businesses to serve as creators of positive change within society. CoEfficient serves all sorts of different clients right around the world, and today John is based on his native island of Guernsey.

But his journey to becoming a pioneer in using data smarter to help companies grow is neither traditional nor expected. 25 years ago, he was running a personal training business that he was struggling to scale. A chance meeting with a business mentor first opened his eyes to the power of data, measurement, and evaluation. This set him on course to develop both his Monergy Flow model of growth and a thriving, scalable business that few – least of all John himself – would ever have predicted.

EXTERNAL LINKS

Make friends with John on LinkedIn, his preferred social media platform https://www.linkedin.com/in/john-hibbs-coefficient/

There’s more about CoEfficient at https://www.coefficient-solutions.com

John explains his Monergy Flow model – including the hand-drawn, periodic table version – at https://www.maddyness.com/uk/2023/08/09/the-monergy-flow-by-john-hibbs/

To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, data storyteller Sam Knowles is joined by Ian Whittaker, one of the leading financial and commercial analysts covering the media and advertising sector. Ian is the managing director and owner of Liberty Sky Advisors, has twice been the City AM Analyst of the Year – first in 2014 and again in 2019 – and he writes regularly for both the media and the financial press. He helps marketers speak the language of the CFO – the Chief Financial Officer – and is the go-to guy for understanding how the media, digital, and marketing world is performing.

Ian takes a no-nonsense approach to explaining how the media category makes its money, and in a sector that’s often very much at home to spin and storytelling, takes an evidence-based, data-driven approach to cutting through the hype and telling it how it is. This means he’s particularly good at understanding which innovation is just a shiny new toy and which has the potential to revolutionise the world of media and marketing.

Understanding whether you should invest in a media company – be it one of the mega advertising agency holding companies, one of the big tech platforms, or a streaming service – demands a knowledge of more than just the media sector. Ian tells us why understanding macroeconomic trends and geopolitics matters just as much as being able to read a balance sheet.

An Oxford historian by training with an MBA from London Business School, Ian is currently studying for an MA in the History of War at King’s College, London. His analytics and evidence-assessing skills from all three degrees enable him to sort the signal from the noise. “Data is the bedrock, but data is neutral,” Ian says, “though there does come a time when the data talks to you and reveals the hidden truth.”

A hypothesis-tester and very definitely not a hypothesis-prover, he’s very much against trying to force fit data into a pre-ordained world view. Ian is also a fan of the “data is the new oil” analogy – provided we realise that oil is useless in and of itself and that the value comes from what we do with it once we’ve zoned in the right area, mined it, and refined it.

We learn the surprising truth about why Meta (Facebook’s parent company) is doing so well. There’s been no great recovery in its previously dominant US and European markets, which grew just 2-3% in the last quarter of 2023. The stellar performance in that reporting period was down to massive investment from just a couple of Chinese gaming companies, meaning Meta’s sudden surge in value is almost certainly built on sand.

EXTERNAL LINKS

Ian’s LinkedIn profile: https://www.linkedin.com/in/ianwhittakermedia/

Liberty Sky Advisors: https://ianwhittakermedia.com

Learn the Language of the CFO for Success in the Boardroom – JC Decaux podcast on YouTube https://www.youtube.com/watch?v=wnYV7JuId1g

To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, your host Sam Knowles is joined by Sorin Patilinet, Senior Director of Marketing Effectiveness at Mars. Sorin is also known as the Marketing Engineer.

Our conversation was recorded remotely, via the medium of Riverside.fm, on 4 April 2024.

Thanks to Joe Hickey for production support.

Podcast artwork by Shatter Media.

Voice over by Samantha Boffin.

Sorin took an unusual route into marketing and has an unusually scientific approach to making every last marketing dollar count. Trained as a telecommunications engineer at university in his native Romania, Sorin applies the rigour of engineering to the not always substantial world of marketing science. In the dozen-plus years he’s worked at Mars, he’s routinely and rigorously put into practice the theories of the How Brands Grow marketing professor, Byron Sharp.

Liverpool and Anderlecht fan, Sorin, is based in Belgium, Brussels. He’s currently writing a book from the perspective of the marketing practitioner, showing how structured, systems thinking can make the “colouring-in department” label sometimes levelled at marketing a thing of the past.

Marketing has changed out of all recognition compared to where it was when Sorin started his career, from 80% of ad spend on linear TV to 27 creatives on 35 platforms with no reliable or consistent, cross-platform means to control reach or frequency. Amid all this complexity, his evidence-based approach to marketing measurement is a breath of fresh air.

So, too, is the ad testing methodology (Agile Creative Expertise or ACE) that Mars has developed under Sorin’s stewardship, based not on claimed intention but instead rooted in actual consumer behaviour. Eye-tracking, attention, and emotion have been found time and again to trump declarative survey findings. This really works at scale, too, with insights derived from more than 800 creative executions a year.

Sorin’s an enthusiastic sceptic when it comes to AI, but he’s keen to point out that the November 2022 appearance of ChatGPT is just the tip of the iceberg. Mars has been using AI – in the form of machine learning and deep analytics – for years.

An enthusiastic modern-day Stoic and fan on Everyday Stoic, Ryan Holiday, in ten years from now Sorin hopes to be applying the rigour he’s developed for marketing effectiveness to communicating the importance of grand projects such as the European Union or the United Nations to disaffected citizens.

Sorin is a board member of the Attention Council and a guest lecturer at Wharton Business School.

EXTERNAL LINKS

Sorin’s blog: “Engineering Marketing” – https://www.sorinp.com

Sorin’s LinkedIn profile – https://www.linkedin.com/in/patilinet/

To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, your host Sam Knowles is joined by Olivia Jensen, Director of the Institute for the Public Understanding of Risk (IPUR) based at the National University of Singapore.

Our conversation was recorded remotely, via the medium of Riverside.fm, on 13 March 2024.

Thanks to Joe Hickey for production support.

Podcast artwork by Shatter Media.

Voice over by Samantha Boffin.

IPUR is a research institute that seeks to narrow the gap between people’s perceptions and real-world risks, focused on the data and technology, environment and climate, and health and lifestyle. The Institute brings together basic science, engineering, social sciences, and the humanities.

Olivia Jensen is a passionate advocate and deeply pragmatic practitioner in the art and science of closing the gaps that exist between expert knowledge about risk and public perception of risk. IPUR and the global risk community of which it forms an integral part aims to empower citizens and societies to make better decisions about risk.

Olivia believes that risk-evidence communication is as much about getting experts to understand how and why citizens make decisions as it is about experts explaining the evidence to those citizens.

In considering risk evidence communication under uncertainty, we inevitably talk about Government communication under COVID. Olivia believes that the Government in Singapore got things “just about right”, clearly communicating regularly-updated data and basing its policy decisions on evidence. Sam is rather less complementary about the British Government’s over-politicised use of data in its pandemic communication.

One of the real challenges of risk evidence communication is looking back on events, with narratives constructed that fall victim to hindsight bias. Just because something was possible and it happened doesn’t mean it was inevitable.

Outside of the world of risk, Olivia is a passionate dancer, and in 2024 is learning to tango.

EXTERNAL LINKS

IPUR home page https://ipur.nus.edu.sg

Olivia’s IPUR profile https://ipur.nus.edu.sg/team/olivia-jensen/

IPUR’s EdX course “Understanding and Communicating Risk” https://bit.ly/4dcqQip

Understanding Risk https://understandrisk.org

Risk Know How – a joint venture with Sense About Science https://riskknowhow.org

To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, your host Sam Knowles is joined by one of the world’s finest data storytellers, David Spiegelhalter, the statistician and public communicator of his generation. Although he claims to have been retired for five years, the Emeritus Professor of Statistics from Cambridge University is working harder than ever.

Our conversation was recorded remotely, via the medium of Riverside.fm, on 6 March 2024.

Thanks to Joe Hickey for production support.

Podcast artwork by Shatter Media.

Voice over by Samantha Boffin.

If anyone can be said to have had “a good pandemic”, it was David. “At least I had something to do!” he quips, sharing how he quickly set up a studio at home and gave countless interviews about what the data meant and what we should do as a result.

While he believes that the Chief Scientific and Medical Officers of the U.K. National Health Service usually presented complex information simply and straightforwardly to a willing and receptive public – hungry for evidence of what they might choose to do and why – Government ministers (to the very top) and their Special Advisors (SPADs) had little clue.

Nothing gets David more irritated than wilful misuse of data, and several times during our lively discussion he vents considerable fury at peddlers of misinformation, under COVID and otherwise. We talk a lot about communicating risk (relative and absolute), particularly under uncertainty, with uncertainty the theme of David’s imminent new book, The Art of Uncertainty (to be published by Penguin in September 2024).

Away from the stats lab, we learn how David applied his data-driven smarts to winning the inaugural (and to-date only) Loop World Championship; Loop is pool played on an elliptical table with only one pocket at one of the foci of the ellipse. He also took an evidence-based approach to qualifying for the second round of Winter Wipeout, recorded a dozen years and more ago in Argentina, where David adopted the persona of Professor Risk.

In addition to uncertainty, we also focus on trustworthiness. For David, those using data and statistics to communicate need to earn and constantly re-earn a reputation for being trustworthy. And just as no-one laughs at a comedian who says “I’m funny” at the start of his set, no-one trusts a person using data to communicate complex topics who says “Just trust me!”. Being seen as trustworthy is a consequence of being honest, competent, and reliable.

David introduces Sam and the audience to the skill of “pre-bunking”, and several times warns against building data-driven narratives that push emotional levers or buttons. Data storytellers should present the evidence simply and fairly and then allow the audience to draw their own conclusions. “Treat them as if they’re intelligent, but also as if they don’t know anything.”

EXTERNAL LINKS

Cambridge University personal profile page https://www.statslab.cam.ac.uk/~david/

David on Wikipedia https://en.wikipedia.org/wiki/David_Spiegelhalter

To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

After our fourth collection of six great guests, it’s a wrap for Season Four of Data Malarkey – the podcast about using data smarter. Your host, master data storyteller Dr Sam Knowles, picks out common themes and chooses his highlights from a lively series of conversations – recorded remotely, via the medium of Riverside.fm, between July and December 2023.

Thanks as ever to Joe Hickey for production support.

Podcast artwork by Shatter Media.

Voice over by Samantha Boffin.

In Season Four, our guests included:

Tracey Brown, director of the charity, Sense About Science.

Mark Montgomery, Vice President and International Head of Integrated Insights at Novartis.

John McFall, military and civvy street logistics expert, and the founder of Supply Chain Wise.

Kieran Maguire, leading football finance academic from the University of Liverpool’s Management School, and co-host of The Price of Football podcast.

Ian Makgill, founder of Spend Network, a database keeping tabs on the worlds’ Governments’ $13tn spend.

And Mike Bell, data visualiser extraordinaire, who uses the iconography of the London Underground to tell the stories of bands, albums, films, and political careers at his eponymous business, Mike Bell Maps.

Data Malarkey will have its usual, between-season break for a couple of weeks. We’ll be back with Season Five on 8 May 2024, and there’s another glittering array of guests from an increasingly diverse set of professions. We’ll be hearing from women and men at the top of their game from the worlds of statistics, risk management, consumer goods, academic publishing, financial analysis, and autism research. Their common approaches to using data smarter have lessons for us all. And we start with the blockbuster guest, Professor Sir David Spiegelhalter, a man who had perhaps the best pandemic of any data storyteller in the public domain.

To find out how you rank as a data storyteller, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes to answer 12 questions, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.