The one-sentence truth: Causal vocabulary matters because most weak GP essays do not merely lack examples; they lack an explanation of how one thing leads to another.
Students often write “this causes”, “this leads to” and “this results in” repeatedly. The problem is not repetition alone. Those phrases can flatten very different relationships into one vague causal arrow.
General Paper needs a richer causal vocabulary: contribute to, trigger, catalyse, exacerbate, perpetuate, mediate, offset, mitigate, reinforce, constrain, precipitate, amplify. These verbs help you express whether a factor starts a process, strengthens it, sustains it, weakens it, or merely forms one part of a larger explanation.
Use the Top 100 General Paper Vocabulary Words for JC1 as the suite’s core inventory, and keep the broader JC1–JC2 vocabulary guide as the conceptual parent.
Cause is not one thing
A factor can be necessary but insufficient, sufficient but rare, one contributor among many, a catalyst that accelerates an existing trend, or a condition that makes another factor more powerful. GP reasoning improves immediately when you stop treating every relationship as simple causation.
High-value causal verbs
- cause — produce an effect directly enough to justify a strong causal claim.
- contribute to — form one part of a multi-factor explanation.
- trigger — initiate a process or response.
- catalyse — accelerate or stimulate change.
- exacerbate — make an existing problem worse.
- mitigate — reduce the severity of harm.
- perpetuate — keep a pattern going.
- amplify — increase strength, scale or visibility.
- offset — counterbalance an effect.
- constrain — limit the extent to which an effect can occur.
Causal nouns
- driver
- mechanism
- catalyst
- constraint
- feedback loop
- incentive
- externality
- mediating factor
- underlying condition
- unintended consequence
These nouns are useful because they make the causal structure visible. “Why did it happen?” becomes “What was the mechanism?” “What kept it going?” becomes “What perpetuated the pattern?”
Correlation is not causation
Two trends can move together without one causing the other. A hidden third factor may influence both. The direction of causation may be reversed. The relationship may be coincidental.
Useful language includes correlates with, is associated with, coincides with, may reflect, does not establish causality. These phrases protect you from claiming more than the evidence supports.
Mechanism language
Strong causal explanation often uses this sequence: factor → mechanism → intermediate effect → final consequence.
For example: “Housing scarcity raises rents because demand competes for a limited stock. Higher rents then reduce disposable income, which can increase financial stress and delay household formation.” The mechanism is much clearer than “housing scarcity causes many problems.”
Reinforcing and balancing effects
Some systems contain feedback. A reinforcing feedback loop strengthens the original change; a balancing mechanism limits it.
Example: rising property prices can attract speculative demand, which further raises prices. But higher interest rates may constrain borrowing and offset part of that effect.
Short-term and long-term causation
Effects can change over time. A policy may initially reduce demand but later encourage adaptation. Automation may displace some jobs in the short term while creating complementary roles over a longer horizon. Time is part of causation.
Direct and indirect effects
Direct effects occur through an immediate pathway. Indirect effects operate through second-order changes. A tax may directly raise prices and indirectly change consumer behaviour, firm investment and political support.
Unintended consequences
GP essays become more mature when they look beyond intended effects. Policies can change incentives in ways designers did not anticipate.
“A subsidy intended to improve affordability may unintentionally raise prices if supply cannot expand quickly enough.” This is much stronger than simply saying the policy “may fail”.
Causal strength ladder
- is associated with
- may contribute to
- appears to influence
- is an important driver of
- substantially increases
- directly causes
Move up the ladder only when the evidence justifies it.
Before-and-after causal reasoning
Weak: “Social media causes polarisation.”
Stronger: “Social media can amplify political polarisation when recommendation systems reward emotionally provocative content and users sort into ideologically similar networks.”
Weak: “Poverty causes poor education.”
Stronger: “Low household income can constrain educational opportunity through weaker access to enrichment, unstable housing, limited time for parental support and greater exposure to financial stress.”
Paper 1 use
Every major paragraph should make its causal mechanism visible where causation matters. Ask: what starts the effect, what carries it, what strengthens it, and what limits it?
Paper 2 use
In comprehension, causal vocabulary is crucial for paraphrasing accurately. “Contributes to” cannot safely become “causes”. “May exacerbate” cannot become “will create”. Preserve causal strength.
A causal drill
Take one GP issue and ban yourself from using the word cause. Explain the relationship using contribute, trigger, exacerbate, perpetuate, mitigate, constrain and offset. The exercise forces you to notice what kind of causation you actually mean.
The deeper lesson
Causal vocabulary is not simply a stylistic upgrade. It is a model of how the world works. Better causal words force better causal thought.
Return to the JC1 Top 100 GP Vocabulary Hero, especially the causation, evidence and systems families. They become much more powerful when used together.
Phase 4 Expansion: Causal Reasoning Needs More Than an Arrow
The most important causal upgrade in JC1 is learning that “A leads to B” is usually only the beginning. Mature causal reasoning asks whether A is necessary, sufficient, contributing, triggering, amplifying or merely correlated with B.
Necessary, sufficient and contributing causes
A necessary condition must be present for an outcome to occur. A sufficient condition is enough to produce the outcome under the stated circumstances. A contributing factor increases likelihood or severity without determining the result alone. Most social explanations in GP are multi-causal, so contributes to is often more defensible than causes.
Confounding and reverse causality
If two variables move together, a third factor may influence both. Alternatively, the direction may run partly backwards. Social-media use may correlate with loneliness because use worsens loneliness, lonely people use platforms more, or both. Vocabulary such as confounding factor, reverse causality, alternative explanation protects the argument from simplistic inference.
Causal chains and bottlenecks
A long causal chain can fail if one intermediate step is weak. “Education improves growth” may require education to raise skills, firms to demand those skills, and institutions to enable productive investment. If one link fails, the final outcome weakens. This is why words such as constraint and bottleneck matter.
Feedback loops
Some effects return to influence their own causes. Distrust can reduce participation, weaker participation can make institutions less representative, and poor representation can deepen distrust. Recognising feedback prevents one-direction explanations of dynamic systems.
Intervention logic
Policies work only if they act on the mechanism producing the problem. If congestion is caused mainly by road scarcity at peak hours, a general transport subsidy may help only indirectly. If the binding mechanism is price, a subsidy may be powerful. Good policy evaluation therefore begins with causal diagnosis.
Paper 1 causal laboratory
Choose a claim such as “Inequality weakens democracy.” Build a chain: inequality → unequal political resources → unequal influence → perceived unfairness → weaker legitimacy and participation. Then identify one alternative mechanism and one point where the chain could break. This produces a much richer paragraph than repeating “inequality causes problems”.
Paper 2 causal checksum
- Did the writer say cause, contribute, trigger or merely correlate?
- Was the effect direct or indirect?
- Was a condition required?
- Was the factor presented as one cause among several?
- Did the writer describe an unintended consequence?
What mastery looks like
You are thinking causally when you can draw the mechanism, name alternative explanations, specify conditions and choose a verb whose strength matches the evidence. Causal vocabulary then becomes a model of relationships rather than a list of connectors.
Continue with Comparison and Contrast Vocabulary for GP Essays. Comparison is one of the best tools for testing whether a causal explanation really transfers across contexts.