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Two sides Quote by Bruce Watson

“With the two sides entrenched, each began a campaign for public sympathy. The focus was wages. How much did Lawrence textile workers really earn? Ettor told the press that the average mill wage was $6 a week; mill owners countered that it was $9.71 The difference depended on who did the math, and…” quote by Bruce Watson
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““With the two sides entrenched, each began a campaign for public sympathy. The focus was wages. How much did Lawrence textile workers really earn? Ettor told the press that the average mill wage was $6 a week; mill owners countered that it was $9.71 The difference depended on who did the math, and how. Ettor was using a mathematical mean, dividing the mills’ $150,000 weekly payroll by twenty-five thousand workers.72 Mill owners relied on what statisticians call the median. Taking a weaver’s average wage of $13 a week and a doffer’s average of $4.50, they found the midpoint, then rounded up. Strikers protested. For every weaver, they pointed out, there were dozens of doffers, sweepers, and bobbin boys earning $4.50 a week or less. Mill owners countered that such low pay was earned only by the least skilled workers, few in number and not prime wage earners. But neither weekly wage figure factored in the several weeks each year that work was slow and thousands were laid off.””

Bruce Watson

About This Quote

Source Article: Labor history analysis, 2010

Different statistical measures can be used to frame the same data, shaping public opinion and policy.

In simple terms: Mean vs. median changes the story.

Key Takeaway

Choose stats that reflect reality.

Themes

statistics labor rights media framing

Mood

critical inquisitive

Type

analytical educational

When to use this quote

  • union negotiations
  • policy debates
  • media reporting
  • economic analysis

Key Concepts

mean median bias interpretation

Questions to Reflect On

  • Which measure best represents workers’ experience?
  • How can audiences detect statistical bias?
A Different Perspective

Numbers can be manipulated to mislead.

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