Here's an example of what's due today

Screening equity debate

Thu, Nov 12, 2026 · Week 12 · Genetics of Disease (Medical Interventions)

Today's goal: Argue a CER position on whether genetic screening is offered fairly across communities.

Learn first

What a finished product looks like

This is a model of the work you should turn in today. Use it to check your own: match the structure and the level of detail, do not copy it. Your data and wording should be your own.

Worked CER on a parallel case (AED placement equity)
Completes: Parallel model of the Unit 2 synthesis argument: a claim-evidence-reasoning paragraph taking a position on whether a life-saving health resource reaches communities fairly, plus a reflection that names one cost or access counterargument. Modeled on the placement of automated external defibrillators, NOT on the genetic screening question students must argue today.

Note: This is a parallel model on a different case. It shows you the CER format and depth so you can see how a strong argument is built. It does NOT answer today's screening equity prompt. Build your own claim from your own evidence.\n\nClaim: Automated external defibrillators, or AEDs, are not currently placed equitably, because the neighborhoods where cardiac arrests are most likely to be survivable often have the fewest devices nearby.\n\nEvidence 1: An AED can restart a heart during sudden cardiac arrest, but it only helps if one is within reach in the first few minutes. Studies of public AED placement show that wealthier and commercial areas, like downtown office buildings and shopping centers, tend to have far more registered devices than lower-income residential neighborhoods.\n\nEvidence 2: Survival from cardiac arrest drops by roughly 10 percent for every minute that passes before a shock is delivered. In neighborhoods where the nearest AED is blocks away, locked inside a building, or simply absent, bystanders cannot reach a device in time even when they are willing to help.\n\nReasoning: Fast defibrillation is one of the strongest predictors of surviving cardiac arrest, so when device placement follows property value and foot traffic instead of where arrests actually happen, the survival gap widens along the same lines as income and geography. The technology itself works, but a device only saves a life if it is close enough to be used before the brain is starved of oxygen. That turns an uneven placement pattern into a health equity problem, not just a logistics detail.\n\nReflection (counterargument): A fair counterpoint is cost. AEDs are expensive to buy, register, and maintain, and some argue that limited funds should go where crowds are largest so each device covers the most people. My response is that placing devices where crowds gather is reasonable, but coverage should be measured against where cardiac arrests occur and how fast help can arrive, not only against headcount, so that residential neighborhoods with real medical need are not left uncovered.

Also due today: Post your two prepared questions about who gets access and who is left out, then post your CER and reflection in the PLTW course shell before end of block.

Check yourself

WebXam problem for today's skill

One exam-style question that uses exactly what you practiced today. Try it before you reveal the answer, then read why each choice is right or wrong.

WebXam-style domain: Biotechnology Research and ExperimentsSelf-check skill: Identifying why genetic screening access is unequal across communities
A genetic screening test for an inherited cancer risk is accurate and could save lives. A public health analyst finds that wealthy, insured, city patients are screened far more often than low-income, uninsured, or rural patients. Why is this an example of a health equity problem rather than just a scheduling issue?

Tap an answer to see the full explanation. Nothing is recorded or graded.