7/30/2019 cp theory

1/3

Agent theory

Cest la vie

Aff-fairness narrow it down to keep it fair so the neg cant run whatever they chose

Neg-education try to make the topic bigger so they can run more argument so they can educate people

Agento Good

Real world- if we disscuss real world agents then it allows us to vote forpragmatic bills.(education)

Forces them to defend their agent(education) Neg flex- allows neg to be prepared against small affs(fairness) Checks small affs (education and fairness)

o Bad Predictability-there are hundreds of agents that people can do because there

are the 3 main branches and then they devolve into more and more killing the

education in the round because they can pick any random agent they

want.(fairness and education) Not germane to the topic-you dont learn anything new because you learn all

that you need to learn in the first year or so on the topic.(education and

fairness)

o Interpretation Allowed to have a agent or so because we have a solvency advocate

o Standerds They kill predicatability cause they can pick any agent they want Not germane to the topic it kills education because we spend all the time

learning about the same cp

Start with the standard then link it then impact it They kill predictability which kills fairness which kills education

o Order Interp first Standards/voters start with 1 or so points than extend and expanded it into why

this is bad for education. Why the neg needs all of the standards it presents

Picso good

Real world Increase specific education and it encourages the you to go more in depth

o Bad Steals aff ground Kills debate focused in trivial debate and can pic out of one person or something

because it is bad

Infinitely regressive there are so many things that can be piced out of that killsfairness

7/30/2019 cp theory

2/3

Agent theory

Cest la vie

Plan pluso You can perm counterplan and is functionally competitive

Plan minuso Contextually different

Word pic-taking out some word in the plano Textual-difference in text of plan and cp

Bad If plans are legit off of the context because it s infinitely regressive and

allows for vague aff plans

Not predictable-all words have a arbitrary meaning and it is impossibleto know each persons conation

Real world congress looks at the function not the context Search for the best the best policy option.

Good Should be able to defend each and every word Bright line- decrease judge intervention

o Functional-changes aff implementation good

Real world education-learn about real world polices and the congresslooks for the best policy

Best policy option-dont look at some arbitrary standard Best clash

Delay(to make it context than take out should and replace it with ought)o Sever out of the inmetinace of the plan(plan -)

Can just stand up and say that we never specified when the lan would be done You define resolved that means that your plan would happen immediately they

create a moving target .A perm would be intrinsic because it adds the element

of time

Interp the cp needs to be both contextually and functionallyo Even if scenario- if we lose our interp then read context is bad and read funtucal

completion good

7/30/2019 cp theory

3/3

Agent theory

Cest la vie

Stateso Bad

Not real world No lit base Inf regressive-no cap on what you can fiat Logical policy Not germane to the topic

o Good Up aff ground on DAs Test intrincness Reciprocal fiat Neg flex

Condoo Interp

Aff

Limit them down to 2 arguments a cp and a K creating one condo world

Neg Should be able to test the agent, methodology, and intrinsicness

o Standards bad

Limits-depth over breadth Perf. Con Time skew

Good Logical policy makers do it all the time weigh options Strategic thinking Structural bias

Noteso Neg should read more theory than the affo Really explain how it the other team kills your standards and how they are good for the

debate

o Adv counterplan would solve for one of the affs counter plans 2ac can read add ons the only way to answer is to prove the cp can solve or

straight turn it

Perming would be a da to the aff