Core Argument - Numbers, while seemingly precise, are incomplete without human context and qualitative understanding [6][14][20] - Over-reliance on quantitative metrics can lead to unintended negative consequences and ethical compromises within organizations [6][7][8][9][10] - The presentation advocates for a balanced approach, integrating human insights and values alongside data-driven decision-making [14][15][19] Case Studies & Examples - The failure of a predictive model during Brexit highlights the limitations of data in capturing irrational human behavior and market reactions [3][4][5] - Wells Fargo's account creation scandal illustrates how aggressive targets can incentivize unethical behavior, resulting in millions of fake accounts [7] - Amazon's "Time of Task" KPI demonstrates how efficiency metrics can dehumanize employees, leading to health issues and a loss of dignity [8][9] Alternative Approaches & Solutions - New Zealand's "wellbeing budget," allocating 19 billion New Zealand dollars to mental health, and Bhutan's Gross National Happiness index exemplify prioritizing citizen well-being alongside economic growth [17] - Integrating qualitative feedback, such as patient understanding and communication quality, alongside quantitative metrics improves outcomes in healthcare [16] - The presentation encourages organizations to consider what is being left out, who is affected but not measured, and what qualitative stories complement the data [14][15]