JC 2 General Paper GP Tuition | GP Current Affairs and Examples

General Paper current affairs should not be a collection of headlines waiting to be inserted into essays. A useful current-affairs bank is a living evidence system: dated, sourced, conceptually organised, retrievable and honest about what each example can and cannot prove. JC2 students need enough knowledge to think with, but the deeper skill is learning how to convert a changing world into defensible reasoning.

This is the current-affairs and examples owner inside the SETC JC2 General Paper lane. It is world-facing and location-neutral. It does not attempt to predict the A-Level paper. It teaches how to build a trustworthy issue bank that can serve unseen Paper 1 questions and strengthen contextual reasoning. For day-to-day study use How to Study for GP; for final revision use the GP Revision Guide.

The central rule: every example needs a date, a source, a mechanism and a limit

A current example is not trustworthy merely because it appeared recently. Before using it, the student should know when the evidence was true, where it came from, what process connects the facts to the proposed claim, and where the inference stops. Those four fields prevent many of the weaknesses found in fact-heavy GP essays.

Consider a labour-market statistic about artificial intelligence. The number is not the argument. The student needs to know what “exposure” means, whether exposure is the same as job loss, how the study measured it, which occupations differ, and why the result matters to a question about technology, work, inequality or education. A headline may be memorable; a mechanism is usable.

Maren, Iona and Leonie meet the current-affairs problem

Maren collects fascinating stories faster than she can deploy them. Her risk is example abundance without hierarchy. Iona distrusts uncertain information and can spend too long verifying every detail. Her risk is treating reasonable evidential caution as a demand for perfect certainty. Leonie wants a clean list of “examples to memorise”. Her risk is detaching evidence from the question and mechanism.

The current-affairs system must solve all three problems: prune aggressively, verify proportionately and store examples by function rather than as a predicted-topic list.

A dated 2026 evidence register: what serious GP current affairs looks like

The examples below are not “must memorise” predictions. They demonstrate how to turn authoritative, recent evidence into conceptually useful material. Every student should verify volatile claims again before using them in a later year because current affairs changes.

AI and work: transformation is more nuanced than “robots take jobs”

In May 2025, the International Labour Organization released an updated global assessment of occupational exposure to generative AI. Its research found that about one in four workers globally were in occupations with some degree of GenAI exposure, while the ILO emphasised that transformation of work was more likely than simple wholesale replacement for most affected jobs. The study also reported large differences by occupation, income level and gender. Students can verify the current report at the International Labour Organization.

Mechanisms: task automation, complementarity between human and machine, occupational restructuring, skill demand, bargaining power and productivity. Possible GP uses: whether technology destroys work, whether education can keep pace with technological change, whether productivity gains are distributed fairly, whether societies should regulate AI. Limit: occupational exposure is not identical to actual displacement. The most responsible essay distinguishes potential task exposure from realised labour-market outcomes.

AI and education: governance is becoming part of the education question

UNESCO’s 2026 work on education in the age of AI frames the challenge not only as whether students should use new tools but whether education systems retain agency over public purposes, data, pedagogy and institutional decisions. Its September 2026 global consultation highlighted pressure on education systems responding to rapidly changing AI without adequate regulatory frameworks or shared understanding. See UNESCO’s global consultation on education in the age of AI.

Mechanisms: automation of cognitive tasks, teacher augmentation, assessment validity, data governance, unequal access, dependence on private infrastructure, changes to what counts as learning. Possible GP uses: purpose of education, technology in schools, academic integrity, equality of opportunity, role of teachers, public versus private control. Limit: “AI in education” is not one intervention. Outcomes depend on task, age, pedagogy, access, governance and implementation.

Climate: the problem is no longer supported by one hot year

The World Meteorological Organization’s State of the Global Climate 2025, published in March 2026, reported that 2015–2025 were the hottest eleven years on record and that 2025 was the second or third hottest year in the observational record, around 1.43°C above the 1850–1900 average. It also reported record ocean heat and continuing impacts from extreme weather.

Mechanisms: greenhouse-gas accumulation, energy imbalance, ocean heat, physical risk, adaptation, infrastructure resilience, insurance and distribution of costs. Possible GP uses: environmental responsibility, economic growth, science and policy, intergenerational justice, adaptation versus mitigation, international cooperation. Limit: a global temperature statistic does not by itself prove the effectiveness of any specific climate policy. Policy evaluation requires separate evidence about cost, implementation and outcomes.

Global health: cooperation exists, but implementation remains negotiated

The World Health Assembly adopted the WHO Pandemic Agreement in May 2025 after negotiations triggered by weaknesses and inequities exposed during COVID-19. By 2026, Member States were still negotiating the Pathogen Access and Benefit Sharing annex; the World Health Assembly decided in May 2026 that this work should continue. Students can check the latest status through the World Health Organization.

Mechanisms: collective-action problems, sovereignty, information sharing, vaccine and diagnostic access, supply chains, institutional trust and global public goods. Possible GP uses: international organisations, globalisation, public health, science, equity, national versus global interests. Limit: adoption of an agreement is not identical to implementation. The continuing annex negotiations themselves are useful evidence that cooperation often involves difficult design and distribution questions.

Trade and supply chains: resilience, technology and geopolitical risk interact

The World Trade Organization’s March 2026 outlook projected slower merchandise trade growth in 2026 after stronger growth in 2025, while noting both downside risks from energy and geopolitical disruption and upside potential from sustained demand for AI-related goods. A September 2026 WTO goods-trade barometer still described merchandise trade as resilient despite elevated uncertainty. See the WTO’s September 2026 goods trade update.

Mechanisms: tariffs, substitution, supply-chain adaptation, energy prices, transport routes, high-technology investment and services trade. Possible GP uses: globalisation, protectionism, resilience, technology, economic interdependence, national self-sufficiency. Limit: one annual forecast is conditional. Forecasts are scenarios based on assumptions, not guaranteed outcomes.

Forced displacement: totals can fall while humanitarian pressure remains severe

UNHCR’s 2026 reporting stated that global forced displacement fell during 2025 for the first time in a decade but remained extremely high. Its June 2026 figures reported about 117.8 million forcibly displaced people at the end of 2025, alongside large numbers of returns and continuing major crises. UNHCR also reported severe funding constraints. See UNHCR’s current figures at a glance.

Mechanisms: conflict, persecution, state capacity, neighbouring-country hosting, humanitarian finance, return, integration and burden sharing. Possible GP uses: migration, humanitarian responsibility, international institutions, borders, inequality, conflict and public finance. Limit: a decline in the global total does not imply that displacement crises have been solved. Aggregate movement can conceal severe conditions and uneven regional experiences.

What the evidence register teaches

Notice that each case is larger than a fact. The AI/work case contains a distinction between exposure and replacement. The climate case separates physical evidence from policy effectiveness. The health case separates agreement from implementation. The trade case separates forecast from outcome. The displacement case separates aggregate direction from lived severity.

These distinctions are exactly what makes an example useful in GP. The student is not rewarded merely for knowing that an event occurred. The event becomes valuable when it sharpens reasoning.

Build current-affairs knowledge around durable question families

Rather than organising everything by news category, use question families. Who should decide? introduces power, legitimacy and governance. Who benefits and who pays? introduces distribution. What happens when incentives change? introduces behaviour. What can institutions actually implement? introduces capacity. What should be done under uncertainty? introduces risk and precaution. Which costs belong to the present and which to the future? introduces time and intergenerational justice.

One current event can serve several question families. This makes the bank smaller and more transferable.

The twelve core concept families for a world-facing GP bank

1. Power and accountability
2. Rights and responsibility
3. Trust and legitimacy
4. Evidence and uncertainty
5. Innovation and risk
6. Work and productivity
7. Inequality and distribution
8. Markets and externalities
9. Institutions and state capacity
10. Identity and culture
11. Global interdependence and sovereignty
12. Time, resilience and intergenerational trade-offs

A student does not need one hundred unrelated topics. A robust set of concept families creates a framework into which changing events can be placed.

The seven-part example card

1. Claim: what can this example support?
2. Factual anchor: what happened, where and when?
3. Source: who produced the evidence?
4. Mechanism: how does the fact connect to the claim?
5. Limit: what should not be inferred?
6. Contrast: what case or condition complicates it?
7. Question families: where might it be useful?

If the card becomes half a page of copied facts, it has stopped functioning as a retrieval interface. Keep enough detail to remain accurate, but store deep background in the archive.

Source quality: use provenance as part of the example

A student should know whether a number comes from an intergovernmental organisation, national statistical agency, peer-reviewed study, company disclosure, advocacy group, newspaper investigation or opinion essay. Different source types can all be useful, but they support different levels of confidence.

For factual anchors, prefer sources close to the underlying data when practical. For public debate, high-quality journalism and serious commentary can reveal competing interpretations. Never turn the authority of a source into a substitute for reading what the source actually claims.

Primary sources are not automatically sufficient

A government report may be authoritative about what policy was adopted but may not independently establish that the policy succeeded. A company can accurately report its own investment but has interests in how outcomes are framed. An international agency can provide rigorous statistics while still requiring careful interpretation.

Source literacy means matching source to claim. Ask what this source is well placed to know.

Separate event, report and interpretation

When current affairs moves quickly, three layers are often collapsed. The event happened. A report describes the event using selected evidence. An interpretation explains significance. Students should be able to identify which layer they are storing.

This prevents a columnist’s interpretation from being remembered later as a neutral fact. It also makes essays more sophisticated because the learner can distinguish evidence from debate about evidence.

Build update notes rather than duplicate notes

When an ongoing story changes, update the existing card. Add a dated line: what changed, what remains uncertain and whether the change strengthens or weakens the old interpretation. Do not create a new disconnected page for every news cycle.

This is especially important for AI regulation, wars, elections, economic conditions and fast-moving technologies. The student should be able to see the evolution of the issue.

Use stable and volatile layers

Stable layer: concepts, institutional structures, durable historical cases, long-run trends. Volatile layer: office-holders, active negotiations, recent court decisions, policy status, conflict developments, forecasts and emerging technology capability.

Verify volatile facts more frequently. Do not waste time repeatedly checking stable concepts that have not changed.

Learn trends, not only moments

A single event can be dramatic but unrepresentative. Trend evidence can reveal whether the event sits inside a larger pattern. The WMO climate example is strong partly because it reports an eleven-year sequence, not just one record year. The ILO AI exposure work matters because it analyses tasks across occupations rather than relying on one company announcement.

When possible, pair an event with a trend. The event makes the issue concrete; the trend controls overgeneralisation.

Learn mechanisms, not only outcomes

Suppose trade slows. Why? Possible mechanisms include tariffs, weaker demand, energy costs, disrupted transport, currency changes or investment cycles. Different mechanisms imply different conclusions. The student should not treat an outcome as proof of one favourite explanation.

Mechanism discipline makes examples reusable and protects against simplistic essays.

Use counterexamples as part of the bank

For each major claim, store one case that complicates it. If the claim is that technology increases inequality, look for conditions where technology widened access. If the claim is that international agreements fail, identify a domain where cooperation produced durable results. If the claim is that globalisation destroys resilience, find examples where diversified supply chains improved it.

Counterexamples prevent the bank from becoming confirmation machinery.

Use comparative pairs

Pairs become powerful when one important condition differs. Similar AI adoption, different worker protections. Similar climate hazard, different infrastructure resilience. Similar refugee inflow, different local capacity. Similar health threat, different access to medical countermeasures.

The pair helps the learner infer which condition matters. This is more evaluative than memorising two independent stories.

Use time horizons

Some examples look different depending on the horizon. A technology can displace tasks immediately but create complementary roles later. A climate adaptation project can be expensive now but reduce future losses. Trade restrictions can protect a sector in the short run while raising input costs elsewhere.

Store the horizon explicitly. It is one of the most useful evaluation lenses in GP.

Use distribution questions

Aggregate benefit can hide unequal distribution. “The economy gained” does not tell us who gained. “Technology increased productivity” does not tell us which workers, firms or regions captured the gains. “Displacement fell” does not describe every displaced population.

For each example, ask who benefits, who pays, who decides and who is missing from the aggregate. Distribution often turns a descriptive example into an evaluative one.

Use institutional-capacity questions

A policy that works in one context may depend on administrative competence, enforcement, financing, data systems or public trust. Do not transfer it automatically. Ask what infrastructure makes the outcome possible.

This improves world-facing analysis because the student learns to compare contexts without assuming one model scales everywhere.

Use incentive questions

Institutions, companies and individuals respond to incentives, but not mechanically. Ask what behaviour a rule rewards, what can be gamed, what information is available and whether unintended incentives emerge.

In AI, trade, climate and public health, incentive analysis often connects policy design to real outcomes.

Use legitimacy questions

A policy can be technically effective but politically or ethically contested. Who authorised it? Are procedures transparent? Are rights constrained proportionately? Are affected groups represented? Does the public trust the institution?

Legitimacy is especially useful when a prompt asks what governments or international institutions should do rather than merely what works.

Use uncertainty questions

Current affairs often arrives before certainty. Forecasts are conditional. Early scientific findings can change. Conflict reports can be incomplete. Students should learn calibrated language: suggests, projects, estimates, reports, indicates, remains uncertain.

Uncertainty does not make evidence useless. It changes the strength of the claim that can responsibly be made.

The current-affairs inbox

Separate discovery from processing. Save promising sources into an inbox. Once or twice a week, classify each: update existing model, add new example, create contrast, provide background, or discard. This prevents constant news consumption from fragmenting study.

Leonie needs this especially. Otherwise the news feed dictates the timetable rather than the learning plan.

The 20-minute current-affairs processing routine

1. Read for central claim and evidence.
2. Identify what is genuinely new.
3. Locate the relevant concept family.
4. Write the factual anchor with date.
5. Write the mechanism.
6. Write one limitation.
7. Decide whether it replaces, updates or complements an active example.
8. Close the source and retrieve the card.

The monthly freshness audit

Review only volatile examples. Check whether official status changed, a forecast was updated, later data altered the interpretation, an agreement entered another stage or a technology changed materially. Update the date and note the change.

This is far more efficient than rereading every issue from the beginning.

The retirement rule

Retire an example when it is redundant, inaccurate, poorly understood, too narrow or harder to retrieve than a better substitute. Archive it rather than deleting if historical comparison may matter.

Current-affairs strength comes partly from subtraction. A smaller bank of trustworthy cases is often superior to a huge bank of uncertain ones.

How many examples should a student know?

There is no magic number. The relevant metric is functional coverage: can the learner support several major concept families with accurate, distinct and flexible evidence? Twenty deeply understood cases may outperform one hundred headlines. A high-performing student may carry more; a learner struggling with retrieval may need fewer.

Measure retrieval latency and portability rather than collection size.

Do not memorise paragraphs around examples

An example should be detachable from one essay. Store a factual core and mechanism, then practise using it under different claims. Change the question and observe what analysis must change.

This is one of the most important protections against question mismatch.

The example-transfer drill

Take the ILO AI/work case. Use it first for a question about technology and employment. Then use it for education. Then inequality. Then whether governments should regulate innovation. Each time, identify what the example supports, what additional evidence is required and what would be overclaiming.

One case becomes four different reasoning exercises without becoming a memorised paragraph.

The counter-transfer drill

Ask where the example should not be used. The ILO exposure statistic does not show that AI has already destroyed one quarter of jobs. The WMO temperature series does not prove one specific environmental regulation is effective. WHO negotiation progress does not prove all international institutions are effective.

Knowing where an example fails is a mark of ownership.

Current affairs and Paper 1

In Paper 1, current affairs should supply evidence and context to an argument generated from the question. It should not choose the question for the student. The wording comes first. Examples are selected because they serve distinct paragraph roles.

Use the specialist Paper 1 examination-performance owner when the first weak link becomes question choice, thesis or essay execution rather than the evidence bank itself.

Current affairs and Paper 2

Background knowledge can help a reader understand context, but it must not overwrite the passage. The text remains primary for comprehension and inference. In contextual application, relevant world knowledge becomes more directly useful, but it still needs to be anchored to the passage proposition.

Use the specialist Paper 2 examination-performance owner when the problem becomes source interpretation, summary, connections or application mechanics.

The Example Laboratory: sixty worked judgement cases

Case 1 — “AI will eliminate most jobs.” The ILO evidence supports significant occupational exposure and transformation, not the absolute claim. Repair: distinguish tasks, occupations, exposure and realised job loss.

Case 2 — “AI creates only benefits for education.” UNESCO’s governance concerns show that educational purpose, data, assessment and equity complicate the claim. Repair: identify conditions for beneficial use.

Case 3 — “Climate change is proven by one hot year.” Replace anecdotal logic with multi-year WMO trend evidence and physical indicators.

Case 4 — “A global agreement solves pandemic inequality.” Separate adoption from implementation; use ongoing PABS negotiations as evidence of design difficulty.

Case 5 — “Globalisation is collapsing.” WTO evidence shows slowing and risk alongside continued trade resilience. Repair: avoid binary framing.

Case 6 — “Fewer displaced people means the refugee crisis is over.” Aggregate decline coexists with very high totals and serious regional crises. Repair: separate direction from level.

Case 7 — A current event has no reliable official data yet. Store as pending; use qualitative cautious language or an older verified case.

Case 8 — A company announces a breakthrough. Use the announcement to establish what the company claims, not necessarily independent proof of impact.

Case 9 — An advocacy organisation publishes a statistic. Check methodology and underlying source; advocacy does not make the data false, but provenance matters.

Case 10 — A viral chart has no denominator. Do not use until the unit, population and period are clear.

Case 11 — A policy appears successful in one city. Identify institutional and demographic conditions before generalising nationally.

Case 12 — Two countries adopt similar rules with different results. Use the pair to investigate enforcement, culture, capacity or baseline differences.

Case 13 — A forecast is treated as fact. Preserve scenario assumptions and update when actual data arrives.

Case 14 — A correlation is described as cause. Ask what mechanism and alternative explanations exist.

Case 15 — A national average looks positive. Ask who gained and whether distribution changed.

Case 16 — One dramatic failure is used to condemn an entire technology. Compare base rates and system-level evidence.

Case 17 — One success is used to prove universal scalability. Identify the enabling conditions.

Case 18 — A historical example is rejected as “too old”. Keep it if the mechanism remains clear and relevant.

Case 19 — A new example duplicates an old one. Keep the better-understood case unless recency changes the mechanism or credibility.

Case 20 — An example can serve many questions. Store by function and practise varied claims.

Case 21 — An example fits only one memorised essay. Lower its active priority unless that narrow function fills a genuine gap.

Case 22 — Student remembers event but not date. Store month/year for volatile issues; exact day only where material.

Case 23 — Student remembers date but not significance. Require a “this matters because” sentence.

Case 24 — Student remembers source but not claim. Source authority cannot replace proposition understanding.

Case 25 — Student has only one perspective. Add serious counterevidence or competing interpretation.

Case 26 — Student collects opposing opinions with no criterion. Choose evidence quality, fairness, feasibility or another comparison standard.

Case 27 — Student uses current affairs only in introductions. Move examples into the inferential core of body paragraphs.

Case 28 — Student writes two examples but no analysis. Remove one and deepen the mechanism.

Case 29 — Student gives a statistic then says “therefore”. Insert the missing reasoning step.

Case 30 — Student avoids numbers entirely. Use numerical evidence when understood; verify unit and comparison.

Case 31 — Student treats international organisation as neutral oracle. Use its data carefully while still evaluating scope and method.

Case 32 — Student dismisses official data as propaganda automatically. Evaluate methodology and institutional incentives rather than relying on cynicism.

Case 33 — Student uses one country as “the world”. Label scope honestly and add comparison before globalising.

Case 34 — Student lists countries to appear global. Geography without mechanism is decorative; select contexts because they test a condition.

Case 35 — Student uses a crisis as proof normal rules never work. Distinguish emergency conditions from ordinary institutional performance.

Case 36 — Student uses peacetime success to infer crisis resilience. Ask whether stress changes capacity.

Case 37 — Student ignores time horizon. Separate short-run disruption from long-run adaptation.

Case 38 — Student ignores opportunity cost. Ask what resources the policy or institution cannot use elsewhere.

Case 39 — Student uses aggregate GDP as welfare. Distinguish output from distribution, security, health or freedom.

Case 40 — Student uses one poll as public opinion. Check sample, question wording, date and trend.

Case 41 — Student cites scientific consensus without mechanism. Explain what evidence base supports the broad conclusion where relevant.

Case 42 — Student cites one study against a broad evidence base. Distinguish anomaly from established pattern.

Case 43 — Student confuses legal adoption with social outcome. Track implementation, compliance and enforcement.

Case 44 — Student confuses spending with success. Expenditure is input; outcomes need separate evidence.

Case 45 — Student confuses access with effective use. Technology, healthcare and education all require complementary capabilities.

Case 46 — Student assumes innovation diffuses evenly. Examine infrastructure, cost, skills and market concentration.

Case 47 — Student assumes regulation stops innovation. Look for mechanisms through which clear rules can also create trust or market certainty.

Case 48 — Student assumes regulation always works. Evaluate enforcement, evasion, unintended consequences and capacity.

Case 49 — Student assumes international cooperation removes sovereignty. Examine the actual agreement design and national implementation authority.

Case 50 — Student assumes sovereignty makes cooperation impossible. Use areas where states create rules because problems cross borders.

Case 51 — Student assumes markets solve allocation efficiently. Ask about externalities, information asymmetry and public goods.

Case 52 — Student assumes governments allocate fairly. Ask about incentives, capture, information and implementation.

Case 53 — Student uses cultural example as universal human behaviour. Preserve context and avoid overgeneralisation.

Case 54 — Student treats demographic ageing only as burden. Consider longevity, care demand, labour participation, productivity and adaptation.

Case 55 — Student treats migration only as humanitarian issue. Include labour, identity, capacity, rights and integration where relevant.

Case 56 — Student treats climate only as environmental issue. Connect health, infrastructure, food, finance, migration and security cautiously.

Case 57 — Student treats AI only as technology issue. Connect work, education, power, culture, energy, law and information.

Case 58 — Student treats trade only as economics. Add geopolitics, resilience, technology and institutional rules.

Case 59 — Student treats health only as medicine. Add trust, logistics, equity, governance and public communication.

Case 60 — Student sees an unfamiliar 2027 event. Do not panic. Classify source, date, mechanism, limit and concept family. The method survives changing headlines.

Forty current-affairs drills

Drill 1: Convert one headline into a mechanism question.

Drill 2: Identify event, report and interpretation layers.

Drill 3: Find the closest primary factual source.

Drill 4: Write a seven-part example card.

Drill 5: Add one honest limitation.

Drill 6: Find one serious counterexample.

Drill 7: Pair two contexts differing on one condition.

Drill 8: Rewrite one forecast as appropriately conditional language.

Drill 9: Turn a statistic into a mechanism sentence.

Drill 10: Identify what the statistic does not prove.

Drill 11: Store one trend beside one event.

Drill 12: Classify evidence as stable or volatile.

Drill 13: Update an existing card rather than creating a new note.

Drill 14: Retire one redundant example.

Drill 15: Retrieve one case by concept rather than topic.

Drill 16: Use one case for three different essay questions.

Drill 17: State where the same case should not be used.

Drill 18: Compare short-run and long-run effects.

Drill 19: Identify winners and losers hidden by an average.

Drill 20: Identify the institutional-capacity dependency.

Drill 21: Identify the main incentive.

Drill 22: Identify the legitimacy question.

Drill 23: Identify the uncertainty level.

Drill 24: Replace an absolute claim with calibrated language.

Drill 25: Compare an official report with serious commentary.

Drill 26: Reconstruct the issue card without looking.

Drill 27: Generate the strongest question angle from one example.

Drill 28: Generate a question where the example becomes weak.

Drill 29: Link one example to three concept families.

Drill 30: Build one comparative pair from different regions.

Drill 31: Verify a volatile example one month later.

Drill 32: Explain why an older case remains useful.

Drill 33: Explain why a newer case is not yet useful.

Drill 34: Rewrite one paragraph using less factual detail and more inference.

Drill 35: Create an evidence hierarchy for one claim.

Drill 36: Check denominator and baseline for one statistic.

Drill 37: Trace one causal claim to its evidence.

Drill 38: State an alternative explanation.

Drill 39: Build one Paper 1 paragraph around the case.

Drill 40: Remove the case and see whether the argument still has a mechanism.

A twelve-month current-affairs maintenance cycle

Month 1: establish concept families and source tiers.

Month 2: build a small active bank across technology, environment, institutions and society.

Month 3: add comparison pairs and counterexamples.

Month 4: test retrieval by mechanism and question family.

Month 5: prune redundancy and verify volatile facts.

Month 6: use examples in unseen Paper 1 planning.

Month 7: broaden weaker concept families rather than simply adding news.

Month 8: run a source-quality audit and replace weak provenance.

Month 9: update fast-moving technology, policy and economic examples.

Month 10: compress the active bank to the most portable cases.

Month 11: retrieve by concepts and unfamiliar questions, not by folders.

Month 12: maintain only major updates; stop uncontrolled expansion and shift time to execution.

The current-affairs audit: eighty questions

• Does every active example have a date?
• Does every active example have a source?
• Can the source type be identified?
• Is the factual anchor accurate?
• Can the mechanism be explained?
• Can one limitation be stated?
• Is there a contrast or counterexample?
• Are question families listed?
• Are current events stored by concepts as well as topics?
• Are stable and volatile facts separated?
• Are volatile facts reverified?
• Are forecasts labelled as forecasts?
• Are estimates labelled as estimates?
• Is correlation distinguished from causation?
• Are aggregates distinguished from distribution?
• Are short-run and long-run effects separated?
• Are policy adoption and implementation separated?
• Are inputs and outcomes separated?
• Are exposure and realised effects separated?
• Are global and local scopes separated?
• Are institution-specific claims scoped honestly?
• Can examples be retrieved by mechanism?
• Can examples be retrieved by stakeholder?
• Can examples be retrieved by question family?
• Can one example support several claims without forcing?
• Can the student state where an example should not be used?
• Is the active bank smaller than the archive?
• Are redundant examples retired?
• Are weak-source examples replaced?
• Are dramatic anecdotes checked against broader evidence?
• Are trends paired with events where useful?
• Are primary sources matched to claims they can support?
• Is serious commentary used for interpretation rather than fact substitution?
• Can event, report and interpretation be distinguished?
• Are ongoing stories updated rather than duplicated?
• Can the student identify incentives?
• Can the student identify institutional-capacity conditions?
• Can the student identify legitimacy questions?
• Can the student identify uncertainty?
• Can the student identify opportunity cost?
• Can the student identify distributional effects?
• Can the student identify intergenerational effects?
• Can the student identify externalities?
• Can the student identify public-good dimensions?
• Can the student identify rights conflicts?
• Can the student identify sovereignty-cooperation tensions?
• Can the student identify resilience trade-offs?
• Can the student identify technological complementarity?
• Can the student identify market concentration where relevant?
• Can the student identify unequal access?
• Can examples be compared across contexts?
• Do comparison pairs differ on a meaningful condition?
• Are country examples understood beyond name recognition?
• Are cultural differences treated carefully?
• Are numerical claims stored with denominator and period?
• Are survey claims stored with sample context where material?
• Are current science claims calibrated to evidence strength?
• Are official negotiations distinguished from completed law or implementation?
• Are ongoing conflicts treated with date sensitivity?
• Is the current-affairs inbox processed on schedule?
• Does discovery remain separate from deep study?
• Is source-free retrieval used?
• Are issue cards periodically reconstructed?
• Are examples transferred to unseen questions?
• Are examples prevented from choosing the question?
• Does Paper 1 use evidence after interpretation?
• Does Paper 2 background knowledge remain subordinate to the passage?
• Is current-affairs study constrained by conversion capacity?
• Does reading displace too much writing?
• Does fact collection displace retrieval?
• Does the learner verify major updates near the exam?
• Does the learner stop uncontrolled expansion near the exam?
• Can the learner explain each core example in thirty seconds?
• Can the learner explain each core example in two minutes?
• Can the learner state the best objection to each core example?
• Can the learner state the strongest honest inference?
• Can the learner state what remains unknown?
• Can the learner update a case without rebuilding the whole issue?
• Can the learner face a new headline using the same evidence discipline?
• Does the current-affairs bank improve reasoning rather than merely impress?

Where to go next

Return to the JC2 General Paper hub. Use the GP Revision Guide to make current affairs retrievable, and use the Paper 1 owner when evidence integration or essay architecture—not example quality—becomes the first weak link.