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Week 2

Week 2. More on Debating. QandA. Any questions from last week’s debate?. Quick recap. Use of prep time Case construction Problem -> Solution -> Principle -> Benefits Clash and rebuttal. Outline. Constructing an argument (example ) More on rebuttal More on models.

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Week 2

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  1. Week 2 More on Debating

  2. QandA • Any questions from last week’s debate?

  3. Quick recap • Use of prep time • Case construction • Problem -> Solution -> Principle -> Benefits • Clash and rebuttal

  4. Outline • Constructing an argument (example) • More on rebuttal • More on models

  5. Constructing an argument • Topic: That we should ban smoking • Side: Affirmative • Argument 1: Banning smoking will improve people’s health • What is the problem? • Smoking causes various harms to people’s health: • Directly, to the smoker, the inhalation of chemicals poses various risks such as cancer and general health deterioration • For third parties, passive smoking damages their health even though they have not chosen to take part in it

  6. Cont. • How does the model solve this? • 1) A ban on smoking would decrease the sale/supply and consumption/demand of tobacco since it would involve the government banning mainstream supply • 2) A ban would creative a normative message that will stigmatise the culture of smoking • Why is this important/a good thing? • Fewer people smoking means a reduction in the cost to people’s health and thus fewer preventable deaths and illnesses

  7. Rebuttal • 3 (of the) different ways to rebut: • The argument is based on a false premise (to ‘reject the premise’) • E.g. Smoking is harmful. The government should ban things which are harmful. The government should ban smoking. • The argument is true but not important/relevant • E.g. Civil literacy test to vote – aff argues that being informed is critical to voting well.

  8. Cont. • The argument lacks causation • E.g. The aff argues that the government should make people informed about civics before they vote but not how the test achieves this outcome. • Importantly, there is an onus on the negative team to explain why that causation is lacking. • E.g. Portugal decriminalised drugs and it has a lower incidence of drug use. • Alternative explanations?

  9. /Models • Going not far enough vs. Going too far • Understand your burden according to the topic • E.g. That obese children should be removed from the care of their parents. • What are some reasonable restrictions on your model? • What is your model trying to achieve? Does it do this? Does it incur any additional harms/benefits?

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