Passage Summary: A police chief claims that their new way of using data to deploy officers is the reason why crime in the city dropped by 20 percent.

Conclusion: The 20 percent decrease in the city's crime rate was caused by the police chief's specific data-driven policing strategy.

Reasoning: The crime rate dropped during the chief's tenure while they were implementing a strategy that focused resources on high-crime areas using real-time data.

Analysis: The chief is making a classic causal claim based on a correlation: because the drop happened during their tenure, the strategy must be the cause. To weaken this, we should look for an answer that provides an alternative explanation for the decline. Perhaps crime rates dropped by 30 percent in neighboring cities that didn't use this strategy, or maybe a massive local economic boom reduced the incentive for crime. If the trend was happening everywhere regardless of the chief's actions, their specific strategy looks much less like the hero of the story.