More Data Doesn't Equal More Truth

The Illusion of More Data: Why More Isn't Always BetterIn this episode, I explore the paradox of data collection and truth. Despite our growing ability to track and analyze vast amounts of data, our confidence in what we know often decreases as more evidence complicates simple conclusions. Using examples from fields such as medicine and social science, I question the assumption that more data leads to clearer truths and discuss how we can rethink our approach to understanding complex realities. Join me as I outline principles for navigating an information-rich world, focusing on better models, answerable questions, and effective decision-making under uncertainty.00:00 The Data Deluge: More Data, Less Clarity?00:16 The Paradox of Data: More Evidence, Less Certainty01:00 The Coffee Conundrum: A Case Study01:39 The Curse of Dimensionality: Complexity in Data02:58 Human Bias: Twisting Data to Fit Narratives03:49 Navigating the Information-Rich World: Key Principles04:57 A New Approach to Truth-Seeking