What evidence supports the author's argument regarding unpaid internships?

The selection of numerical data showing the number of unpaid interns as evidence supporting the author's argument enhances the argument's credibility by providing quantifiable information that can illustrate trends, patterns, or the scale of the issue. This type of data can effectively underscore the prevalence of unpaid internships, highlighting how widespread the practice is and possibly framing it as a systemic issue in the job market. Furthermore, numerical data can be compelling in demonstrating changes over time, enabling the author to make a stronger case regarding potential negative implications of unpaid internships for both interns and the broader workforce.

Qualitative feedback, testimonials, and case studies, while valuable, typically provide more subjective insights. They can help add human experience and narrative to the argument but may not carry the same weight as statistical evidence in terms of demonstrating the overall impact or growth of unpaid internships. Thus, numerical data is particularly powerful in backing up claims with hard evidence.