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Rebuttal · Beginner · About 4 min

Find a missing assumption

Lesson 8 of 9Step 1 of 5

Attack the link the conclusion needs

Negative · Rebuttal
Read the fictional case: AI and the future of work
Negative · Rebuttal

Resolution Advanced AI will on net improve outcomes for workers

Fictional round packet: a two-year review of 30 employers records 300 retained workers receiving 4% higher inflation-adjusted pay and working 37 rather than 40 hours per week after AI adoption. Sixty entry-level roles were removed and 40 technical roles added. Of the 60 displaced workers, 18 entered the new roles, 24 found work elsewhere at 8% lower pay, and 18 were still unemployed six months later. The other 22 new roles went to different applicants. The review does not isolate AI from every other change or forecast the whole economy. The affirmative argues that productive tools can improve pay and time for many workers. The negative argues that concentrated losses and barriers to new work can outweigh those gains.

A missing assumption is a connection the speaker relies on without establishing it. Ask what must be true for the offered support to justify the conclusion.

Choose a consequential link. Showing that an argument has an assumption is not enough; every developed argument depends on something. Explain why this link is doubtful and what happens if it fails.

Affirmative · Support
Forty technical roles were added.

This establishes new opportunities in the packet.

Affirmative · Conclusion
Those roles answer the problem for displaced workers.

The claim needs the displaced workers to be able to access those opportunities.

Negative · Link challenge
Only 18 of the 60 displaced workers entered those roles. Counting new jobs does not establish a successful transition for the others.

This uses the record to test the actual link.

Negative · Case effect
The affirmative still has retained-worker gains, but cannot treat all displacement as resolved by the new-role count.

The reply limits the conclusion without denying that new opportunities exist.

Select a move to inspect the argument.
  1. Separate support and conclusion

    Identify the observation and the inference being drawn.

  2. Find the necessary link

    Ask what connects the observation to the claimed benefit or harm.

  3. Explain the failure

    Show how challenging this link changes the case.

New roles and access are different claims

Negative · Rebuttal

Resolution Advanced AI will on net improve outcomes for workers

Fictional round packet: a two-year review of 30 employers records 300 retained workers receiving 4% higher inflation-adjusted pay and working 37 rather than 40 hours per week after AI adoption. Sixty entry-level roles were removed and 40 technical roles added. Of the 60 displaced workers, 18 entered the new roles, 24 found work elsewhere at 8% lower pay, and 18 were still unemployed six months later. The other 22 new roles went to different applicants. The review does not isolate AI from every other change or forecast the whole economy. The affirmative argues that productive tools can improve pay and time for many workers. The negative argues that concentrated losses and barriers to new work can outweigh those gains.

  1. Affirmative · Support
    Forty technical roles were added.

    This establishes new opportunities in the packet.

  2. Affirmative · Conclusion
    Those roles answer the problem for displaced workers.

    The claim needs the displaced workers to be able to access those opportunities.

  3. Negative · Link challenge
    Only 18 of the 60 displaced workers entered those roles. Counting new jobs does not establish a successful transition for the others.

    This uses the record to test the actual link.

  4. Negative · Case effect
    The affirmative still has retained-worker gains, but cannot treat all displacement as resolved by the new-role count.

    The reply limits the conclusion without denying that new opportunities exist.

A link attack matters when you show what it prevents the case from establishing.

Test the reasoning

Read the fictional practice case
Negative · Rebuttal

Resolution Advanced AI will on net improve outcomes for workers

Fictional round packet: a two-year review of 30 employers records 300 retained workers receiving 4% higher inflation-adjusted pay and working 37 rather than 40 hours per week after AI adoption. Sixty entry-level roles were removed and 40 technical roles added. Of the 60 displaced workers, 18 entered the new roles, 24 found work elsewhere at 8% lower pay, and 18 were still unemployed six months later. The other 22 new roles went to different applicants. The review does not isolate AI from every other change or forecast the whole economy. The affirmative argues that productive tools can improve pay and time for many workers. The negative argues that concentrated losses and barriers to new work can outweigh those gains.

Quick check · 1 of 2Which assumption connects the new-role count to an answer to displacement?

Your turn

Affirmative · Rebuttal

The negative says useful work-sample assessment proves the existing process is meritocratic. Identify the missing link and explain the effect on that defense.

Read the fictional case: Meritocracy as practiced
Affirmative · Rebuttal

Resolution Meritocracy as practiced in modern societies is a harmful fiction that should be rejected

Fictional round packet: a hiring audit compares 100 lower-income and 100 higher-income applicants. Their anonymous work-sample scores were similar, but CV review shortlisted 30 lower-income and 60 higher-income applicants. Among those hired, work-sample scores tracked six-month job performance more closely than CV rank. In a later cohort, free preparation and an anonymous first stage reduced the shortlist-rate gap from 30 to 10 percentage points; other changes were not controlled. The affirmative argues that calling the existing process meritocratic legitimizes an advantage not explained by demonstrated ability. The negative argues that useful ability assessment and the improvement after reform are reasons to repair the practice rather than reject it. Neither side may treat this single invented audit as a description of all societies.

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The observation is… Their conclusion also needs… Our reply is…

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Affirmative · Rebuttal

Resolution Meritocracy as practiced in modern societies is a harmful fiction that should be rejected

Read the practice task and fictional case

The negative says useful work-sample assessment proves the existing process is meritocratic. Identify the missing link and explain the effect on that defense.

Fictional round packet: a hiring audit compares 100 lower-income and 100 higher-income applicants. Their anonymous work-sample scores were similar, but CV review shortlisted 30 lower-income and 60 higher-income applicants. Among those hired, work-sample scores tracked six-month job performance more closely than CV rank. In a later cohort, free preparation and an anonymous first stage reduced the shortlist-rate gap from 30 to 10 percentage points; other changes were not controlled. The affirmative argues that calling the existing process meritocratic legitimizes an advantage not explained by demonstrated ability. The negative argues that useful ability assessment and the improvement after reform are reasons to repair the practice rather than reject it. Neither side may treat this single invented audit as a description of all societies.

Your response

You can return to the practice whenever you want.

One model response

Work-sample scores tracking later performance shows that one assessment can be useful. It does not establish that the CV-based shortlist rewarded that ability. The negative needs a connection between the useful measure and the actual selection process. Without it, our criticism of background advantage in the existing process survives, even if both sides support better ability assessment.

The affirmative need not deny the value of every ability measure.

The response accepts a relevant observation while attacking the inference from a useful tool to a defense of the whole existing practice. It keeps the resolution’s target precise.

Review the performance

  • ArgumentsI identify a link the conclusion actually needs.
  • RefutationI give a reason to doubt that link.
  • EvidenceI explain what remains of both cases.

Choose one move to improve, revise your response, then try it aloud.

Common mistakes to avoid
  • Naming an assumption without explaining why it matters.
  • Confusing damage to one link with defeat of the whole case.

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Find a missing assumption: SuperDebate Lesson | SuperDebate