Scientist's Selective Data in Chinese Radio Interview
You are in the DLPT listening section for Chinese at ILR 2+. You hear a 2-minute excerpt from a radio interview. The host asks a climate scientist about the city's air quality. The scientist cites data: PM2.5 fell from 120 µg/m³ in 2013 to 45 µg/m³ last year, but the WHO guideline is 35 µg/m³. The host then asks, '那政府是不是在监管上放松了？' (So has the government relaxed enforcement?) The scientist replies, '治理是一个长期过程，我们看到了进步，但还有很多工作要做。至于监管力度，这个我没有具体数据。' (Treatment is a long-term process; we've seen progress, but much work remains. As for enforcement intensity, I don't have specific data on that.) Her tone is measured. One question asks what her response reveals about her position on enforcement. Another asks how a listener who misses the numerical comparison might misjudge the main point.
1. What does the scientist's response reveal about her position on enforcement?
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She declines to answer. The host asks a yes/no question about relaxed enforcement, and she responds with a general statement about long-term progress, then says she lacks specific data on enforcement. This is evasive because she has just cited precise PM2.5 figures; claiming ignorance only about enforcement suggests she does not want to confirm or deny the government's position. Her measured tone and the shift from data to process language are cues. The correct inference is not that she supports relaxed enforcement, nor that she opposes it, but that she is unwilling to criticize policy on the record. A candidate who hears 'progress' and stops there may wrongly conclude she is defending the government; a candidate who hears 'no data' and stops there may wrongly conclude she is uninformed. The judgment call is to notice the selective use of data.
2. How might a listener who misses the numerical comparison misjudge the main point?
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The numbers are the main point: PM2.5 fell from 120 to 45 µg/m³, which is real progress, but the WHO guideline is 35, so the city still exceeds it. A listener who misses the comparison may hear only 'progress' and conclude the air is now safe. That misreads the scientist's careful framing: she is acknowledging improvement while leaving room for criticism. The host's leading question about enforcement depends on the gap between 45 and 35. If the listener misses the gap, the host's question seems unmotivated, and the scientist's evasiveness seems arbitrary. DLPT listening items often place the key inference in the relationship between numbers and the follow-up question.