Numbers feel precise. Clean. Objective. They sit on dashboards with confidence, backed by charts, models, and carefully defined metrics. But what if the danger is not bad data, but trusting numbers too easily? What if filters reshape reality, samples distort conclusions, and metrics quietly become targets instead of signals?
Presented by Qlik Partner Ambassador and Qlik MVP Igor Alcantara, and Qlik Partner Ambassador and Qlik Education Ambassador Angelika Klidas, this is the part 2 about the many fallacies in data. This episode explores how selection bias, regression to the mean, KPI worship, and Goodhart’s Law reveal a deeper truth: data does not remove uncertainty. It only reduces ignorance. And unless we question what numbers represent, we risk mistaking measurement for understanding.
Subscribe to the Data Voyagers Podcast wherever you get your podcasts and share the show with friends and colleagues.
Visit our website: https://www.datavoyagers.net/
Learn more about our AI Training: https://www.datavoyagers.net/training
Links Mentioned
You can buy Angelika Klidas book at: https://www.amazon.com/Data-Literacy-Practice-decisions-intelligent/dp/1803246758
You can buy Igor's book at: https://a.co/d/7Wbo76E
Sponsorship
This episode is sponsored by IPC Global: https://ipc-global.com/
Credits:
Igor Alcantara: https://www.linkedin.com/in/igoralcantara/
Angelika Kildas: https://www.linkedin.com/in/angelikaklidas/
Audio Editing:
Leo Oliveira: https://www.instagram.com/leooliveirabass/
Image and Production:
Igor Alcantara: https://www.linkedin.com/in/igoralcantara/
