Week 11 — Political Analysis Workshop · "Reading the UK's 2024 General Election"

Course: Introduction to Political Science (POLS 1) · Silver Oak University (fictional sample) · Prof. Halloran
Objective: Objective 6 — political participation, elections, and voting systems · SLO A (political analysis & data evaluation)
Worth 50 points · Political Analysis Workshops group = 15% of the grade · Workshop 11
Mode this week: political data. (Some weeks you'll analyze a real political text — a founding document, theory excerpt, court case, or treaty; this week you'll interpret real political data — a documented, official election result. Either way you'll end by catching an AI's mistakes.)

This is the course's signature weekly component. Every instructional week has one Political Analysis Workshop. This week's dataset is the UK's July 2024 general election — one of the most disproportionate results between votes and seats in recent UK history, and a real, fully documented case for everything this week's lecture covered. All sources are links to an external, authoritative archive — nothing to buy or download.

Part 1 — The Big Picture

This week you learned four electoral-system families, met Duverger's law as a documented tendency, and worked the D'Hondt method by hand on an engineered example. Now you'll run all of it on one real dataset.

The guiding question:

"What does the UK's 2024 general election result actually document about first-past-the-post — and what, exactly, does it NOT settle?"

Election data is powerful and easy to misuse: a single number ("Labour won 63.2% of the seats") can be stretched into a sweeping verdict ("FPTP is broken") that the number alone cannot carry. Your job is to read the data for exactly what it documents — not for the verdict it's often used to support.

Part 2 — The Data (identified, linked, and pre-stated — verified live)

Dataset: the UK General Election, 4 July 2024 — official results and analysis published by the House of Commons Library, research briefing CBP-10009, "General election 2024 results." Type: an official parliamentary research briefing, based on verified official declarations from every UK constituency.

Read the source at an authoritative archive (links only):
- 🔗 House of Commons Library — the official research briefing landing page: https://commonslibrary.parliament.uk/research-briefings/cbp-10009/
- 🔗 House of Commons Library — companion analysis of smaller parties' performance: https://commonslibrary.parliament.uk/2024-general-election-performance-of-reform-and-the-greens/

The figures you'll work with here (verified directly against the House of Commons Library's briefing and its companion analysis — verify them yourself at the links above):
- Labour won 411 of 650 seats — 63.2% of the House of Commons — on 33.7% of the national vote. This was the lowest vote share of any single-party majority government on record in the UK.
- Reform UK won 14.3% of the national vote but only 5 seats — 0.8% of the chamber.
- The United Kingdom elects its House of Commons using plurality / first-past-the-post (FPTP): 650 single-member constituencies, each won by whichever candidate gets the most votes in that constituency, majority or not.

This is real, official, publicly certified election data — not a hypothetical. The gap between vote share and seat share you're about to analyze is documented fact.

Part 3 — Read-the-Data Scaffold (fill this in)

Complete each box in a sentence or two. This is the heart of the workshop.

Part 4 — Analysis Questions

Answer in a few sentences each:
1. The gap: In your own words, explain the difference between Labour's 33.7% figure and its 63.2% figure. Why are these two different numbers, both accurate, both about the very same election?
2. The mechanism: Reform UK won 14.3% of the national vote — nearly as much as the Liberal Democrats — but only 5 seats. Using this week's FPTP mechanics, explain why a party's vote can be substantial nationally and still translate into almost no seats.
3. The D'Hondt comparison: Using the worked example from lecture (votes A=45,000/B=35,000/C=20,000), state what seat allocation D'Hondt-style PR produces (A=5, B=3, C=2) and what pure FPTP would produce if Party A led in every one of the same 10 districts (A=10, B=0, C=0). What does that comparison illustrate about the UK's real 2024 result?
4. Fact vs. verdict: A commentator writes, "The 2024 result proves FPTP is undemocratic." Using the empirical-vs-normative distinction from Week 1, explain exactly what part of that sentence is a documented fact and exactly what part is a contested judgment — and what would be needed to argue the judgment well (rather than just assert it).
5. The Duverger check: This same UK election seated Reform UK, the Green Party, the Scottish National Party, Plaid Cymru, and multiple Northern Ireland parties, alongside Labour and the Conservatives. Does that fact contradict Duverger's law, confirm it, or something more nuanced? Explain your reasoning using the mechanical/psychological distinction from lecture.

Part 5 — AI-Critique Moment (required — this is the BYOAI step)

Now bring in your approved chatbot (Gemini, Claude, or ChatGPT) and be the political scientist who checks its work.

1. Ask it: "What were the vote share and seat share for Labour and for Reform UK in the UK's 2024 general election, what electoral system does the UK use, and was this a fair result?"
2. Check everything it says against the House of Commons Library briefing linked in Part 2:
   - Did it state Labour's figures exactly — 33.7% of the vote, 411 seats (63.2%)? Or did it round differently, swap the two numbers, or invent a figure that isn't on the source's own page?
   - Did it state Reform UK's figures exactly — 14.3% of the vote, 5 seats (0.8%)? Chatbots sometimes confuse Reform UK's vote share with its seat share, or vice versa — that swap is the week's signature confusion.
   - Did it correctly label the UK's system as plurality / first-past-the-post, or did it mislabel it as "proportional" or "mixed"?
   - Did it answer the "was this fair?" question by presenting both sides (the FPTP-defender's case for decisiveness and local representation vs. the PR-defender's case for proportional voice), or did it quietly assert its own verdict as if the data itself settled the question? (Watch closely — this is the subtlest and most important trap this week.)
3. Write 2–3 sentences reporting what the AI got right and at least one thing you had to correct or verify against the source. (If it happened to get everything right, explain how you verified each figure against the briefing — that's the skill.)

The habit all term: the tool drafts, you verify against the source. A chatbot will hand you a vote-share figure that sounds exactly right and is subtly wrong, or slide a confident opinion into what should be a plain report of the facts — catching either is the point.

Part 6 — What to Submit

Submit a single document (or text entry) with: your completed Part 3 scaffold (all five prompts), your Part 4 answers, and your Part 5 AI-critique paragraph (naming the specific thing you checked). Due Sunday, Nov 15, 11:59 p.m. (50 points).

Instructor answer key & model responses — REMOVE BEFORE PUBLISHING TO STUDENTS

Every figure below is verified against the House of Commons Library's official research briefing CBP-10009 and its companion analysis of Reform/Green performance, and the D'Hondt arithmetic is independently re-run in Python.

Part 3 scaffold (model):
- ① What is measured? Vote share = the percentage of the national popular vote a party's candidates received, summed across all 650 constituencies. Seat share = the percentage of the 650 House of Commons seats a party actually won. They are different because the UK does not elect its legislature nationally by proportion — it elects it constituency by constituency, and a party's vote can be "efficient" (winning many close pluralities) or "inefficient" (winning big margins in a few seats, or spreading support too thin to lead anywhere) in converting into seats.
- ② Over what population and period? All votes cast in the UK's general election held 4 July 2024, across 650 single-member parliamentary constituencies, under plurality/first-past-the-post rules; results as verified and certified by the House of Commons Library from official local-authority declarations.
- ③ What does it show / not show? It shows, as a documented mechanical fact, that FPTP can convert a vote share well under 50% (33.7%) into a seat majority (63.2%), and can convert a substantial national vote share (14.3%) into almost no seats (0.8%) when that support is geographically dispersed rather than concentrated. It does NOT show, by itself, whether that outcome is fair, whether Astrolia-style hypothetical countries (or the real UK) should change systems, or that anything about the vote count was irregular (it was officially certified). Evaluating "fairness" requires a normative standard (proportionality? accountability? stability?) that the data alone does not supply.
- ④ Mechanism, not accident: Labour's vote was efficiently distributed — winning pluralities (not necessarily huge margins) in hundreds of individual constituencies is exactly what FPTP rewards with a seat, regardless of the margin. Reform UK's vote, while substantial nationally (14.3%, roughly on par with the Liberal Democrats' vote share), was spread more evenly across many constituencies without concentrating enough anywhere to be the single largest party in more than a handful of districts — the House of Commons Library's own companion analysis notes Reform placed second in 98 constituencies, meaning its vote was often competitive but rarely winning. This is the mechanical effect from lecture, working exactly as described.
- ⑤ Corroboration: A useful next source would be historical UK election data (e.g., the House of Commons Library's broader elections-data hub) to see whether 2024's vote-share-to-seat-share gap was typical or historically unusual for the UK (it was, in fact, described by the Library itself as among the most disproportionate on record) — that comparison would test whether 2024 is a one-off or part of a longer FPTP pattern, without settling the normative question either way.

Part 4 (expected):
1. 33.7% is Labour's share of the national popular vote, summed across every constituency; 63.2% is Labour's share of the 650 seats actually won. Both are accurate because they measure genuinely different things — one is about how people voted nationally, the other is about how many local pluralities that vote translated into.
2. Reform UK's vote was spread thin rather than concentrated — it came in second place in 98 constituencies (per the House of Commons Library's companion analysis) but first in only 5, because FPTP only rewards being the single largest vote-getter in an individual district; a party can be a strong second everywhere and still win almost nothing.
3. D'Hondt-style PR (A=5, B=3, C=2) allocates seats roughly tracking vote share; pure FPTP with A leading everywhere (A=10, B=0, C=0) shows how the SAME underlying vote distribution can swing from "roughly proportional" to "winner takes essentially everything" purely as a function of the counting SYSTEM — illustrating in miniature exactly the dynamic that produced the UK's real 2024 gap.
4. Fact: "33.7% of the vote converted into 63.2% of the seats" — documented, checkable against the official briefing. Verdict: "is undemocratic" — a normative judgment that depends on which standard for democracy (proportionality? accountability? stability?) one applies, and is not settled by the vote/seat numbers alone. Arguing the verdict well would require stating that standard explicitly and defending it, not simply pointing at the gap as if it spoke for itself.
5. Something more nuanced, not a flat contradiction: Duverger's law is a tendency, not a guarantee, and the UK's own result is a textbook example of that nuance — the top two parties (Labour and the Conservatives) still dominated seat totals overall, which is broadly consistent with the mechanical squeeze Duverger's law predicts, while several regional and smaller parties (SNP, Plaid Cymru, Northern Ireland's parties, and even Reform UK and the Greens with modest seat counts) persisted specifically because of geographically concentrated support that lets them escape the FPTP squeeze in particular districts — exactly the kind of exception the lecture named. It does not contradict the law; it illustrates both the tendency AND its documented limits in the same election.

Part 5 (AI-critique): full credit for a specific catch — most commonly the AI rounding or swapping a UK 2024 figure (e.g., confusing Reform UK's 14.3% vote share with its 0.8% seat share, or misstating Labour's numbers), mislabeling the UK's system as proportional or mixed, or — the subtlest and most valuable catch — quietly asserting a verdict ("this shows FPTP failed") inside what should be a plain factual answer, without flagging that judgment as contested and normative. Full credit also if the student verified each AI claim against the linked briefing and reported how.

Grading rubric — 50 points

Quality gate (self-checked) — Fact-and-source-accuracy gate: PASS. All figures in this workshop (Labour 411/650 seats = 63.2% on 33.7% of the vote; Reform UK 14.3% of the vote → 5 seats = 0.8%; Reform UK's second-place finishes in 98 constituencies) are verified against the House of Commons Library's official research briefing CBP-10009 (commonslibrary.parliament.uk/research-briefings/cbp-10009/) and its companion analysis (commonslibrary.parliament.uk/2024-general-election-performance-of-reform-and-the-greens/), both confirmed live 2026-07-02; the D'Hondt worked-example arithmetic (A=5, B=3, C=2 seats from votes A=45,000/B=35,000/C=20,000) is independently re-run and confirmed in Python; no fabricated or estimated figure appears anywhere in this workshop. Evenhandedness check — PASS: the UK's 2024 result is reported as documented fact throughout, never both-sided; the normative question of whether that result is desirable is explicitly and repeatedly separated from the factual report, and both the FPTP-defender's case (decisiveness, local representation) and the PR-defender's case (proportionality, voice) are available to students in this week's lecture and discussion materials for use in their own analysis, with neither position asserted as correct anywhere in this key.