# La verdad que evitamos: por qué ignoramos los datos | Fernando de la Rosa | TEDxValencia Source: https://www.youtube.com/watch?v=NRLvPo6iHCE Recap page: https://rapidrecap.app/video/NRLvPo6iHCE Generated: 2025-12-12T17:44:10.327+00:00 --- ## Quick Overview The speaker argues that people generally trust data that confirms their existing beliefs (confirmation bias) and ignore data that challenges them, using specific scenarios involving GPS directions, sleep tracking, and restaurant reviews to illustrate how individuals selectively accept or reject information based on prior conviction rather than objective truth. **Key Points:** - People often reject new data if it contradicts deeply held beliefs, such as those about politics, religion, or even sports teams. - The speaker uses three examples: GPS directing you left when you believe you should turn right, sleep tracking showing less than 8 hours, and low restaurant scores, to show how bias dictates data acceptance. - The concept of 'Confirmation Bias' is identified as the mechanism where humans seek out and favor data confirming existing views, leading to the rejection of conflicting evidence. - Data that is 'close' to one's belief (e.g., a 3% error margin in a flat-earth scenario) is often accepted, whereas data that significantly contradicts it is dismissed as 'fake news' or error. - The speaker challenges the audience to question their beliefs, asking if they would change their mind about the Earth being flat if presented with contradictory data. - The underlying problem is that our brains are not trained to process overwhelming amounts of data objectively; instead, we use our existing beliefs as a filter. - The overall conclusion is that we must actively work to recognize and counteract our inherent biases when interpreting real-world data. ![Screenshot at 00:27: The speaker points to his fingers while emphasizing that data allows us to measure reality with incredible precision, setting up the core theme of data interpretation versus belief.](https://ss.rapidrecap.app/screens/NRLvPo6iHCE/00-00-27.png) **Context:** This TEDxValencia talk, delivered by Fernando de la Rosa, addresses the pervasive human tendency to selectively interpret information, focusing specifically on how people process data—or dismiss it—based on pre-existing convictions, a phenomenon he labels as confirmation bias and highlights through relatable, everyday examples. ## Detailed Analysis Fernando de la Rosa opens by stating that we live in an exciting era where digital technology allows science to advance at an incredible speed, all based on data. He immediately introduces the core conflict: we often prefer our beliefs over the data presented to us. He illustrates this with three scenarios to demonstrate confirmation bias. First, when GPS tells you to turn left, but you strongly believe you should turn right, you distrust the GPS, claiming you've always gone right. Second, he asks the audience how many sleep less than 8 hours; many raise their hands, but when he presents data suggesting that people who sleep less than 8 hours are happier, those who raised their hands often lower them, indicating a rejection of data that contradicts a perceived need for more sleep. Third, he discusses the concept of a 'Nutritional Score' for food packaging: if an item has a good score, people trust it; if it has a low score, they dismiss it as flawed. He then tests the audience on whether they would change their belief that the Earth is flat if presented with data showing otherwise, noting that only a small percentage (3%) would likely change their minds, regardless of the data's precision. The speaker explains that this is because our brains are not trained to process massive amounts of data continuously; instead, we use our existing beliefs—whether political, religious, or personal—as a filter. He concludes by urging the audience to be aware of these cognitive shortcuts and actively work to interpret data more objectively, rather than letting ingrained beliefs dictate what we accept as truth. ### Introduction to Data and Bias - We live in an exciting era of scientific advancement thanks to digital technology and data - The central problem is that we prefer our beliefs over the data presented to us. ### Scenario 1 - GPS Navigation: If GPS tells you to turn left, but you believe you should turn right, you distrust the GPS instruction, citing past experience over the current data. ### Scenario 2 - Sleep Data: Many in the audience admit to sleeping less than 8 hours, but when presented with data suggesting less sleep correlates with higher happiness, many retract their initial statement, showing data rejection. ### Scenario 3 - Food Labeling: People trust the 'Nutritional Score' on food packaging if it aligns with their desire for healthy food, but dismiss it if the score is low. ### The Power of Beliefs - The speaker challenges the audience on the Flat Earth belief, noting that only 3% of people would change their minds based on contradictory, precise data, proving that beliefs act as an unshakeable filter. ### The Brain's Mechanism - The brain struggles to process constant, overwhelming data, leading it to rely on established beliefs—politics, religion, sports teams—as shortcuts, which is called 'Confirmation Bias'. ### Conclusion and Call to Action - We must actively work to recognize that our ingrained beliefs are not as solid as we think and apply the same critical rigor to our beliefs as we do to external data. ![Screenshot at 00:05: The title slide for the TEDxValencia event featuring the tagline 'IDEAS QUE CHOCAN Y SE ENTIENDEN' \(Ideas that clash and are understood\).](https://ss.rapidrecap.app/screens/NRLvPo6iHCE/00-00-05.png) ![Screenshot at 00:10: Wide shot of the speaker on stage at TEDxValencia, set against a massive backdrop resembling a deep blue aquarium filled with fish.](https://ss.rapidrecap.app/screens/NRLvPo6iHCE/00-00-10.png) ![Screenshot at 00:18: Close-up of the speaker emphasizing a point about the small, crucial element he brought: 'los datos' \(the data\).](https://ss.rapidrecap.app/screens/NRLvPo6iHCE/00-00-18.png) ![Screenshot at 00:57: The speaker asks the audience to raise their hands if they are honest, as he prepares to test their reliance on data versus belief.](https://ss.rapidrecap.app/screens/NRLvPo6iHCE/00-00-57.png) ![Screenshot at 03:36: The speaker references the historical union movement demanding 8 hours of work and 8 hours of rest, contrasting historical demands with modern data consumption.](https://ss.rapidrecap.app/screens/NRLvPo6iHCE/00-03-36.png)