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Scott Alexander explores how straight-line trends on graphs might mask the true impact of interventions, using examples like the Clean Air Act and Moore's Law to illustrate the complexity of interpreting such data. Longer summary
Scott Alexander discusses the difficulty of interpreting trend lines on graphs, particularly when evaluating the effectiveness of interventions or policies. He uses examples like the Clean Air Act, OSHA's impact on workplace safety, and Moore's Law to illustrate how straight-line trends can persist despite significant interventions or technological advancements. The post suggests that these trends might be maintained by control systems, where various factors adjust to keep the trend consistent. This perspective complicates the assessment of policy effectiveness and technological impact, as their effects might be visible in other areas rather than directly on the graph. The author expresses uncertainty about how to distinguish between scenarios where interventions truly don't matter and those where they're part of a complex control system. Shorter summary
May 11, 2015
ssc
17 min 2,127 words 665 comments podcast
Scott analyzes California's water usage, critiques media coverage of the drought, and proposes a market-based solution focused on reducing alfalfa farming. Longer summary
This post analyzes California's water usage and the current drought crisis. Scott breaks down water consumption by sector using data from various sources, comparing it to a family budget for easier comprehension. He then examines recent news stories about water usage, pointing out how some concerns (like fracking and bottled water) are insignificant compared to agricultural use, particularly alfalfa farming. Finally, he discusses the potential for a market-based solution, suggesting that paying alfalfa farmers not to grow their crop could be more cost-effective than current water-saving measures. Shorter summary