Data Analysis & Critical Thinking - Flawed data leads to flawed actions, impacting companies, workplaces, governments, and institutions [6] - Critical thinking about data is essential for inclusive, empowering, and accurate actions [7] - Data gaps occur when information is missed or the right questions aren't asked to the right people [9] - Confirmation bias and pre-existing beliefs can skew the interpretation of data [13][14] - Biases in data creation and sharing can lead to skewed actions [14][17] - Overwhelming volume of data can lead to reliance on easily accessible but inaccurate data points [18] Data Manipulation & Misinformation - Disinformation involves deliberately manipulating data to serve specific interests [25] - Media moguls can significantly impact narratives and public perception [26] - AI can amplify existing data flaws and create new ones [31] Examples of Data Flaws - The myth that carrots provide night vision originated from a British propaganda campaign [3][4] - Car crash test mannequins primarily based on male body proportions lead to higher injury rates for women (40-70% more likely to be moderately to seriously injured) [7][8][10] - A 2014 report incorrectly stated 3,000 kidnappings in Nigeria when the actual number was around 300 [20] - Human trafficking affects 40 to 50 million people, representing 05% of the global population [22]