Definition of public policy
“Whatever governments choose to do … and not do.”
Example of regulatory depth: ≈ 45 000 federal, state & local rules can touch a single hamburger.
Course will ignore micro-regulations ➔ emphasis on the “big four” arenas
Education policy
Tax policy
Social-welfare policy (e.g.a0Social Security, Medicare/Medicaid)
Foreign policy
Ideological lenses
Conservatives → “Government is best that governs least.”
Liberals → Government action can cure social ills.
Each topic will be examined with “What do liberals believe? What do conservatives believe?” so students can situate their own ideology.
2009 Congress initially held a filibuster-proof Senate yet failed to legislate many priorities.
President Obama issued executive orders to bypass inaction; several struck down later by Supreme Court as unconstitutional.
Reminder: policy can be deliberate inaction as well as action.
U.S. set a 120-year high in voter turnout in the most recent presidential election (helped by mail-in voting), yet still ranks low among industrial democracies.
Widespread civic illiteracy & apathy identified by political scientists and illustrated in class polls.
Education system de-prioritises civics (high-stakes testing crowds out gov’t, music, PE).
Electoral overload & burnout
Federal, state, county, municipal & primary cycles create constant ballots (e.g.a0judges, even dog-catcher).
Fear of backlash leads some schools to avoid controversial government content.
Cynicism & negativity
“All camps are the same,” “vote doesn’t matter.”
Maslow’s hierarchy
Meeting rent, food & safety eclipses abstract politics.
Time poverty
Work, family, commute → politics ranks low on daily priority lists.
Comparative institutions
Nations such as Belgium use mandatory voting (tax incentives/penalties) ➔ turnout soars.
Confusion over Electoral College (e.g.a0popular-vote winner can lose presidency).
Cognitive limitations ⟹ public can’t follow complex policy (e.g.a0budgets, reconciliation, Medicare).
Indirect satisfaction – Low engagement = tacit approval; spikes during crises (e.g.a0post-9/11).
Media environment
Partisan, “fan-base” news culture blurs reporting & commentary, fuels negativity.
Social-media algorithms & government pressure (COVID censorship, shadow-bans) further erode trust.
Cynicism – “Vote unlikely to change outcome”; lightning-strike analogy.
Time constraints – unpaid time off to vote; hectic schedules.
Artificially contrived complexity benefits Congress, lobbyists, corporations; discourages lay involvement.
Electoral rules
Winner-take-all ➔ 3rd-party votes feel wasted (Duverger’s Law).
Electoral College distorts national vote totals and dilutes minority-party votes in safe states.
Complacency of an old democracy – lack of memory of non-democratic rule.
Class poll highlight: Students ranked media bias/negativity and cynicism highest; “time” has declined as the primary excuse compared with 15 years ago.
Clear positive correlation: more schooling → higher turnout at all political activities.
Concept: political efficacy – educated citizens better connect policy to personal outcomes.
Mid-term vs presidential years cause the up-down pattern on turnout graphs.
Older citizens vote at markedly higher rates than the young.
Consequence: policy (e.g.a0Social Security) skews toward seniors’ interests.
Higher earners vote more; they pay more taxes and monitor how those taxes are used.
Since mid-1980s women out-vote men.
Gender gap: men lean Republican, women lean Democratic.
Marriage gap inside gender gap
Married women slightly more Republican.
Single women overwhelmingly Democratic.
Possible reasons: income changes, life-stage priorities, conservative affinity for marriage, age confound.
White & Black turnout roughly equal; 2012 saw Black turnout surpass White (Obama effect).
Hispanic turnout lags both groups – significant for Texas politics.
Created 1935 (New Deal, FDR) to fight elder poverty during Great Depression.
Intended trust-fund model replaced by pay-as-you-go reality: current workers fund current retirees.
Largest federal expenditure ≈ 24\% of budget.
Dependency ratio decline: 13:1 \;\text{workers:beneficiary} \;\rightarrow\; 2.5:1 \;\text{today} \rightarrow 2.2:1 \;\text{soon}
Causes: rising life expectancy (≈66 → 76 yrs), Baby-Boom cohort retiring, lower birth rates.
Trustees project insolvency by 2035 without major reform.
Political dynamics
“Third rail of politics”: touching SS threatens re-election.
AARP mobilises senior voters; runs emotive ads (“pushing grandma off a cliff”).
Youth apathy keeps reform off agenda despite potential loss of future benefits.
(None are absolute; groups are not monolithic.)
Men → Republican; Women → Democratic.
Age: Older → Republican; younger → Democratic.
Education: Post-grads trend Democratic; high-school-only trend Republican (with exceptions).
Race
Black voters ≈ 90 % Democratic.
Hispanic & Asian voters majority Democratic but more variable/regional.
White voters lean Republican (especially White evangelical Protestants & rural Whites).
Religion
White Evangelical → strongly Republican.
Jewish, Black Protestant, non-religious → strongly Democratic.
Income
<$50k → Democratic lean; >$100k → Republican lean (gap narrowing in urban/suburban areas).
Winner-take-all districts + Electoral College reinforce two-party dominance (Duverger’s Law).
Faithless electors are extremely rare (≈ 99.9\% loyalty) and have never altered a presidential outcome.
Safe-state voters (e.g.a0Republicans in CA, Democrats in OK) feel disenfranchised, depressing turnout.
Partisan outlets (MSNBC/CNN vs Fox/Clay Travis) operate like team fan pages, provide supportive narratives rather than neutral news.
Social-media negativity drives many (prof included) off platforms ➔ less engagement.
Government–tech pressure during COVID illustrated censorship concerns (lab-leak posts, account bans, shadow-bans).
Mandatory voting with fines/benefits (e.g.a0Belgium) boosts turnout.
Automatic voter registration in some U.S. states; still patchwork.
45\,000 regulations in a hamburger supply chain.
Mid-term vs presidential cycle explanation for turnout waves.
Duverger’s Law – winner-take-all ➔ two-party system.
“Third rail” metaphor: subway’s electrified rail; touching = political death.
Low youth turnout = policies (tax, retirement) may favor seniors at youth expense.
Understanding demographic trends helps forecast campaign strategies & election outcomes.
Track media biases; seek multiple sources for balanced information.
Grasp Electoral College logic to decode headline incongruities (popular vs electoral vote).
Watch Social Security reform debates; outcome will shape federal budget & personal retirement planning.