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Causality and Correlation

Agent Progress
Built
Keywords
인과관계 / 상관관계 / 논리적 분석 / 오류 방지
Lesson #
S
Done
Section
Advanced Vocabulary
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TL;DR 🦄
  • 🔍 Causality asks whether one thing actually produces another: 인과관계 = causal relationship.
  • 📈 Correlation says two things move together, but it does not prove cause: 상관관계 = correlation.
  • 🛡️ Strong analysis separates 원인 (cause), 결과 (result), 근거 (evidence), and 우연 (coincidence) before making a claim.
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🎧 Iru Helper Note — Open
Korean Helper Widgets
Korean Helper Widgets whenever you want to hear an advanced word or full sentence aloud. Type any Korean expression from this lesson into the widget and let your ears do some detective work. 🕵️‍♀️
 

🌈 The Big Picture

Advanced Korean reading and writing often asks you to explain why something happened, whether two facts are merely connected, or whether a conclusion is too bold. This lesson gives you the vocabulary to talk about that logic clearly. 🧠
The key split is simple but powerful: 인과관계 means “A caused B,” while 상관관계 means “A and B are related or move together.” A graph may show 상관관계, but you need stronger 근거 to claim 인과관계. 📊
You’ll also learn warning words for bad reasoning: 착각 (mistaken assumption), 논리적 비약 (logical leap), 성급한 결론 (hasty conclusion), and 오류 (error/fallacy). These are excellent words for essays, debates, research summaries, and TOPIK-style analytical reading — but this is an Advanced Vocabulary lesson, not a TOPIK build. 🧩

🎨 The Core Causality–Correlation Family

  • 인과관계 → causal relationship: one event, factor, or condition produces another.
    • 원인 = cause
    • 결과 = result
    • 영향을 미치다 = to affect / have an influence on
  • 상관관계 → correlation: two variables are related, but causation is not proven.
    • 관련성 = relevance / relatedness
    • 연관성 = connection / association
    • 변수 = variable
  • 요인 → factor: something that contributes to a situation; it may be causal, but the word itself does not prove causation.
  • 근거 → evidence / basis: the reason or proof used to support a claim.
  • 가설 → hypothesis: a tentative explanation that must be tested.
  • 검증하다 → to verify / test: to check whether a claim, hypothesis, or relationship is supported.
  • 반례 → counterexample: an example that weakens or disproves a claim.
  • 우연 → coincidence: two things happen together without a proven causal link.

🛠️ How They Work in a Sentence

  • 두 현상 사이에 상관관계가 있어도 인과관계가 입증된 것은 아니다.
      • Even if there is a correlation between the two phenomena, that does not mean causality has been proven. 📈
      Notes: 현상 = phenomenon, 사이 = between, 입증되다 = to be proven.
  • 수면 부족은 집중력 저하의 주요 원인으로 지목되었다.
      • Lack of sleep was identified as a major cause of reduced concentration. 💤
      Notes: 수면 부족 = lack of sleep, 집중력 저하 = decline in concentration, 지목되다 = to be pointed out / identified.
  • 자료만으로 결론을 내리기 전에 다른 변수를 검토해야 한다.
      • Before drawing a conclusion from the data alone, other variables should be reviewed. 🧪
      Notes: 자료 = data/materials, 결론을 내리다 = to draw a conclusion, 검토하다 = to review.

🧩 General Formation Rule

This lesson is vocabulary-focused, so there is no irregular conjugation pattern to memorize. Instead, learn the logic pairings:
  • 원인 + 결과 → cause + result
  • 근거 + 주장 → evidence + claim
  • 가설 + 검증 → hypothesis + verification
  • 상관관계 + 인과관계 → correlation + causality
  • 반례 + 오류 방지 → counterexample + error prevention
🧠
Usage habit: In careful writing, avoid jumping straight from 상관관계가 있다 (“there is a correlation”) to 원인이다 (“it is the cause”). Add cautious language such as “may be related,” “requires verification,” or “other variables must be considered.”

📚 Cross-check note

The vocabulary meanings and usage distinctions in this lesson were cross-checked against National Institute of Korean Language resources, including Korean dictionary entries and usage materials from korean.go.kr. ✅

🪞 Synonym Alert

  • 관련성 → relatedness/relevance; broad and neutral.
  • 연관성 → association/connection; often used in analysis, research, and argument.
  • 상관관계 → correlation; more statistical or analytical than the two words above.
  • 원인 → direct cause; stronger than 요인.
  • 요인 → contributing factor; useful when you do not want to overclaim.
  • 근거 → evidence/basis; supports a claim.
  • 증거 → proof/evidence; can sound more concrete or legal/scientific depending on context.

⚠️ Pitfalls to Dodge

  • ❌ 상관관계가 있으므로 원인이다. → ✅ 상관관계가 있지만 인과관계는 검증해야 한다. (Correlation needs verification before a causal claim.)
  • ❌ 요인 = always direct cause → ✅ 요인 means “factor,” not automatically “cause.”
  • ❌ One example proves the whole claim → ✅ Check 반례 before trusting a general conclusion.
  • ❌ Data appears together, so it must be meaningful → ✅ Consider 우연 and hidden 변수.
  • ❌ A dramatic conclusion sounds smart → ✅ A careful 근거-based conclusion sounds smarter. 🧠
🎉 You now have the vocabulary to sound analytical without accidentally blaming the umbrella for the rain. ☂️ Keep causality, correlation, and evidence in separate mental drawers, and your Korean arguments will feel much sharper. 🔍
 

Try this exercise

Read each sentence and fill the blank with the best analytical vocabulary word. Say the completed sentence aloud, then open the Answer toggle to check the meaning and logic. 🧪
1. 두 변수 사이에 ＿＿＿＿가 있다고 해서 원인을 단정할 수는 없다.
Two variables may be related, but you cannot decide the cause from that alone. 📈
Answer
상관관계 — This means correlation, which is weaker than proven causality.
2. 보고서는 스트레스를 생산성 하락의 주요 ＿＿＿＿으로 보았다.
The report viewed stress as a major factor in the drop in productivity. 🧾
Answer
요인 — A factor contributes to a result, but the wording stays cautious.
3. 그 주장을 뒷받침할 ＿＿＿＿가 부족하다.
There is not enough evidence to support that claim. 🧱
Answer
근거 — Use this for the basis or evidence behind an argument.
4. 연구자는 새로운 ＿＿＿＿을 세우고 자료를 모았다.
The researcher formed a new hypothesis and collected data. 🔬
Answer
가설 — A hypothesis is a tentative explanation to be tested.
5. 결론을 내리기 전에 다른 ＿＿＿＿도 검토해야 한다.
Other variables should also be reviewed before drawing a conclusion. 🧪
Answer
변수 — A variable is a changing factor that may affect analysis.
6. 한 가지 사례만으로 일반화하면 ＿＿＿＿이 생길 수 있다.
If you generalize from one case, an error can occur. ⚠️
Answer
오류 — This means error or fallacy in reasoning.
7. 그 예시는 기존 주장을 흔드는 중요한 ＿＿＿＿가 되었다.
That example became an important counterexample that weakened the existing claim. 🧨
Answer
반례 — A counterexample can challenge a general claim.
8. 두 사건이 같은 날 일어난 것은 단순한 ＿＿＿＿일 수도 있다.
The two events happening on the same day may be a simple coincidence. 🎲
Answer
우연 — Coincidence is not causation.
9. 통계 결과만 보고 원인을 말하는 것은 ＿＿＿＿일 수 있다.
Claiming the cause from statistics alone may be a logical leap. 🦘
Answer
논리적 비약 — This means jumping too far beyond the evidence.
10. 그 설명이 맞는지 추가 자료로 ＿＿＿＿해야 한다.
Whether that explanation is correct must be verified with additional data. 🔎
Answer
검증하다 — This means to verify or test a claim.
📚
Vocabulary Box
  • 상관관계 → correlation
  • 요인 → factor
  • 근거 → evidence/basis
  • 가설 → hypothesis
  • 변수 → variable
  • 오류 → error/fallacy
  • 반례 → counterexample
  • 우연 → coincidence
  • 논리적 비약 → logical leap
  • 검증하다 → to verify/test
Tip 💡 If the sentence is cautious, words like 요인, 상관관계, and 검증하다 often fit better than a blunt cause claim.
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Want more reps? Visit the Practice Hub when you're ready! Your logic vocabulary is about to get a gym membership. 🏋️‍♀️
 
📦
🎯 Practice Hub — Causality and Correlation
 
Welcome to your causality-and-correlation workout. 🔗 This Practice Hub helps you distinguish cause, factor, evidence, coincidence, and bad reasoning so your Korean analysis sounds careful instead of “the rooster caused sunrise.” 🐓🌅
 
🔊 Audio reminder: Use
Korean Helper Widgets
Korean Helper Widgets whenever you want to hear one of these analytical sentences aloud.
 
📝 Instructions: Complete each Korean sentence with the best vocabulary item. Read the English meaning, commit to an answer, then open the Answer toggle to check the logic.
 

Exercise 1 — Cause vs Result 🔗

A. 장기 결석은 성적 하락의 직접적인 ＿＿＿＿으로 분석되었다.
Long-term absence was analyzed as a direct cause of the decline in grades. 🏫
Answer
원인 — The sentence says “direct,” so a stronger cause word fits.
B. 정책 변화의 ＿＿＿＿로 시장 반응이 달라졌다.
As a result of the policy change, the market response changed. 🏛️
Answer
결과 — This marks what happened after the cause.
C. 폭염은 전력 사용량 증가에 큰 ＿＿＿＿을 미쳤다.
The heat wave had a major influence on the increase in electricity use. 🔌
Answer
영향 — 영향을 미치다 means “to have an influence.”
D. 소비 감소의 ＿＿＿＿을 찾기 위해 설문 조사를 실시했다.
A survey was conducted to find the cause of reduced consumption. 🛒
Answer
원인 — The sentence asks what produced the decrease.
E. 기술 발전은 근무 방식 변화의 중요한 ＿＿＿＿이 되었다.
Technological development became an important factor in changes to work styles. 💻
Answer
요인 — A factor contributes, without overclaiming direct causation.
F. 지연 배송의 ＿＿＿＿로 고객 불만이 증가했다.
As a result of delayed delivery, customer complaints increased. 📦
Answer
결과 — The complaints are the outcome of the delay.
G. 환경 변화가 지역 생태계에 어떤 ＿＿＿＿을 주는지 조사했다.
Researchers investigated what influence environmental change has on the local ecosystem. 🌿
Answer
영향 — 영향을 주다 is another natural way to say “to affect.”
H. 운동 부족은 피로 누적의 한 ＿＿＿＿으로 볼 수 있다.
Lack of exercise can be viewed as one factor in accumulated fatigue. 🏃
Answer
요인 — “One factor” is cautious and analytical.
I. 자료는 소득 변화와 지출 패턴 사이의 ＿＿＿＿를 보여 준다.
The data shows a causal relationship between income change and spending patterns. 💳
Answer
인과관계 — The sentence explicitly claims a cause-result relationship.
J. 새로운 규정의 ＿＿＿＿를 평가하려면 시간이 더 필요하다.
More time is needed to evaluate the result of the new regulation. 📋
Answer
결과 — Evaluation often focuses on the outcome.
📚
Vocabulary Box
  • 원인 → cause
  • 결과 → result/outcome
  • 영향 → influence/effect
  • 요인 → factor
  • 인과관계 → causal relationship
  • 분석되다 → to be analyzed
  • 조사하다 → to investigate
  • 평가하다 → to evaluate
Tip 💡 Strong cause words need stronger evidence; factor words keep the claim safer.
 

Exercise 2 — Correlation, Connection, and Variables 📈

A. 광고 노출과 구매율 사이에는 높은 ＿＿＿＿가 나타났다.
A high correlation appeared between ad exposure and purchase rate. 🛍️
Answer
상관관계 — This is the analytical word for correlation.
B. 두 사건의 ＿＿＿＿은 인정되지만 원인은 아직 불분명하다.
The connection between the two events is acknowledged, but the cause is still unclear. 🌫️
Answer
연관성 — This means association or connection without proving cause.
C. 이 문장은 주제와의 ＿＿＿＿이 낮아 삭제되었다.
This sentence was removed because its relevance to the topic was low. ✂️
Answer
관련성 — This is broad relatedness or relevance.
D. 연령은 설문 결과를 해석할 때 중요한 ＿＿＿＿가 될 수 있다.
Age can be an important variable when interpreting survey results. 👥
Answer
변수 — A variable may change the result or interpretation.
E. 습도와 불쾌감 지수의 ＿＿＿＿를 그래프로 제시했다.
The correlation between humidity and the discomfort index was presented as a graph. 🌧️
Answer
상관관계 — Graphs often show correlation, not automatic cause.
F. 그 통계는 두 현상 사이의 약한 ＿＿＿＿만 보여 준다.
That statistic shows only a weak association between the two phenomena. 📉
Answer
연관성 — “Weak association” is a cautious analytical phrase.
G. 연구 설계에서는 통제하지 못한 ＿＿＿＿를 따로 기록했다.
In the research design, uncontrolled variables were recorded separately. 🧪
Answer
변수 — Hidden or uncontrolled variables can distort conclusions.
H. 기사의 첫 문단은 사건과 정책의 ＿＿＿＿을 설명한다.
The first paragraph of the article explains the relevance between the incident and the policy. 📰
Answer
관련성 — This word fits broad contextual relevance.
I. 비슷한 시기에 증가했다는 사실만으로 ＿＿＿＿를 주장하기는 어렵다.
It is difficult to claim correlation from the fact that they increased around the same time. ⏱️
Answer
상관관계 — Even correlation needs careful measurement.
J. 문화적 배경이라는 ＿＿＿＿를 고려하지 않으면 해석이 흔들릴 수 있다.
If the variable of cultural background is not considered, the interpretation may become unstable. 🌏
Answer
변수 — Cultural background can function as a variable in analysis.
📚
Vocabulary Box
  • 상관관계 → correlation
  • 연관성 → association/connection
  • 관련성 → relevance/relatedness
  • 변수 → variable
  • 통계 → statistics
  • 현상 → phenomenon
  • 해석하다 → to interpret
  • 고려하다 → to consider
Tip 💡 상관관계 sounds more technical than 관련성 or 연관성.
 

Exercise 3 — Evidence, Hypothesis, and Verification 🔬

A. 그 결론을 뒷받침할 충분한 ＿＿＿＿가 제시되었다.
Sufficient evidence was presented to support that conclusion. 🧾
Answer
근거 — This is the basis that supports a claim.
B. 연구팀은 초기 ＿＿＿＿을 수정한 뒤 실험을 다시 설계했다.
The research team revised the initial hypothesis and redesigned the experiment. 🔬
Answer
가설 — A hypothesis can be revised after new information.
C. 통계 해석의 타당성을 ＿＿＿＿하려면 추가 표본이 필요하다.
Additional samples are needed to verify the validity of the statistical interpretation. 🧪
Answer
검증하다 — This means to verify or test.
D. 한 문장의 주장에는 명확한 ＿＿＿＿가 따라야 한다.
A clear basis should accompany the claim in a sentence. ✍️
Answer
근거 — Good academic Korean often pairs claim + evidence.
E. 예상과 다른 결과는 기존 ＿＿＿＿을 흔들었다.
The unexpected result shook the existing hypothesis. 🧨
Answer
가설 — New results can weaken a hypothesis.
F. 자료의 신뢰성을 ＿＿＿＿하지 않으면 분석 전체가 위험해진다.
If the reliability of the data is not verified, the whole analysis becomes risky. ⚠️
Answer
검증하다 — Data reliability must be checked.
G. 그 설명은 흥미롭지만 아직 ＿＿＿＿가 약하다.
That explanation is interesting, but the evidence is still weak. 🕯️
Answer
근거 — Weak evidence cannot support a strong claim.
H. 전문가는 새로운 ＿＿＿＿을 세우기 전에 선행 연구를 검토했다.
The expert reviewed prior research before forming a new hypothesis. 📚
Answer
가설 — Hypotheses are often built after reviewing earlier studies.
I. 결과가 반복되는지 ＿＿＿＿하는 과정이 필요하다.
A process of verifying whether the result repeats is necessary. 🔁
Answer
검증하다 — Repeated results strengthen a claim.
J. 주장의 ＿＿＿＿가 분명하면 독자를 설득하기 쉽다.
If the evidence for a claim is clear, it is easier to persuade the reader. 🧲
Answer
근거 — Clear evidence makes an argument persuasive.
📚
Vocabulary Box
  • 근거 → evidence/basis
  • 가설 → hypothesis
  • 검증하다 → to verify/test
  • 결론 → conclusion
  • 주장 → claim
  • 타당성 → validity
  • 신뢰성 → reliability
  • 선행 연구 → prior research
Tip 💡 A strong claim needs 근거; a tentative explanation is a 가설.
 

Exercise 4 — Error Prevention and Counterexamples 🛡️

A. 한 사례가 전체 경향을 설명한다고 보는 것은 ＿＿＿＿일 수 있다.
Thinking that one case explains the whole trend may be an error. 🧯
Answer
오류 — One case rarely proves a whole trend.
B. 그 자료는 주장에 대한 강력한 ＿＿＿＿로 사용되었다.
That data was used as a strong counterexample to the claim. 🧨
Answer
반례 — A counterexample challenges or weakens a claim.
C. 두 숫자가 동시에 올랐다고 해서 원인을 확정하는 것은 ＿＿＿＿이다.
Confirming the cause just because two numbers rose at the same time is a logical leap. 📊
Answer
논리적 비약 — The conclusion jumps beyond the evidence.
D. 같은 이름의 두 인물을 혼동한 것은 단순한 ＿＿＿＿이었다.
Confusing two people with the same name was a simple mistaken assumption. 🪪
Answer
착각 — This means a misconception or mistaken perception.
E. 시기가 겹쳤을 뿐이라면 그 관계는 ＿＿＿＿일 가능성이 있다.
If the timing merely overlapped, the relationship may be coincidence. 🎲
Answer
우연 — Coincidence means the overlap does not prove a real causal link.
F. 충분한 검토 없이 판단하면 ＿＿＿＿에 빠지기 쉽다.
Without sufficient review, it is easy to fall into a hasty conclusion. 🏃
Answer
성급한 결론 — This is a conclusion made too quickly.
G. 예외 사례는 일반 법칙의 ＿＿＿＿가 될 수 있다.
An exceptional case can become a counterexample to a general rule. 🧩
Answer
반례 — A counterexample is especially useful against overgeneralization.
H. 감정적인 인상만으로 분석하면 판단 ＿＿＿＿가 생긴다.
If you analyze from emotional impressions alone, an error in judgment occurs. 🌪️
Answer
오류 — 판단 오류 means an error in judgment.
I. 설문 대상이 제한적이므로 일반화는 ＿＿＿＿일 수 있다.
Because the survey group is limited, generalization may be a logical leap. 🧍
Answer
논리적 비약 — Limited data cannot safely support a broad claim.
J. 단지 운이 좋았던 결과를 실력으로 보는 것은 ＿＿＿＿일 수 있다.
Seeing a result that was merely lucky as skill may be a mistaken assumption. 🍀
Answer
착각 — This catches a false interpretation of the situation.
📚
Vocabulary Box
  • 오류 → error/fallacy
  • 반례 → counterexample
  • 논리적 비약 → logical leap
  • 착각 → mistaken assumption
  • 우연 → coincidence
  • 성급한 결론 → hasty conclusion
  • 예외 사례 → exceptional case
  • 일반화 → generalization
Tip 💡 When Korean analysis warns against overclaiming, expect words like 오류, 비약, and 성급한 결론.
 

Exercise 5 — Mixed Mastery + Pitfall Patrol 🛡️

A. ❌ 상관관계가 있으니 원인이다. ✅ 상관관계가 있으니 인과관계를 ＿＿＿＿해야 한다.
Correlation exists, so causality should be verified. 🔎
Answer
검증하다 — ❌ Correlation does not automatically prove cause. ✅ Verification is the safer next step.
B. ❌ 요인은 항상 직접 원인이다. ✅ 요인은 여러 ＿＿＿＿ 중 하나일 수 있다.
A factor may be one among several variables. 🧪
Answer
변수 — ❌ A factor is not always a direct cause. ✅ Other variables may be involved.
C. ❌ 사례 하나로 전체를 판단한다. ✅ 먼저 ＿＿＿＿가 있는지 확인한다.
Before judging the whole from one case, check whether there is a counterexample. 🧨
Answer
반례 — ❌ One case is weak. ✅ Counterexamples help prevent overgeneralization.
D. ❌ 동시에 일어났으니 의미가 있다. ✅ ＿＿＿＿일 가능성도 고려한다.
If two things happened at the same time, also consider the possibility of coincidence. 🎲
Answer
우연 — ❌ Same timing does not prove a meaningful relationship. ✅ Coincidence is possible.
E. ❌ 결론이 멋지면 충분하다. ✅ 결론에는 분명한 ＿＿＿＿가 필요하다.
A conclusion needs clear evidence. 🧱
Answer
근거 — ❌ A stylish conclusion is not enough. ✅ Evidence carries the argument.
F. ❌ 자료 일부만 보고 단정한다. ✅ ＿＿＿＿을 피하려면 전체 맥락을 본다.
To avoid a hasty conclusion, look at the full context. 🧭
Answer
성급한 결론 — ❌ Partial data can mislead. ✅ Context slows the jump.
G. ❌ 관련성이 곧 인과관계다. ✅ ＿＿＿＿은 더 넓고 약한 표현이다.
Relatedness is a broader and weaker expression. 🌐
Answer
관련성 — ❌ Relatedness is not causality. ✅ It simply says things are connected in some way.
H. ❌ 첫인상이 맞다고 믿는다. ✅ 그것이 ＿＿＿＿인지 다시 확인한다.
Check again whether that first impression is a mistaken assumption. 🪞
Answer
착각 — ❌ First impressions can mislead. ✅ Verify before trusting them.
I. ❌ 통계표 하나로 단정한다. ✅ 숨은 ＿＿＿＿를 검토한다.
Review hidden variables instead of deciding from one table. 🕵️
Answer
변수 — ❌ One table may hide other influences. ✅ Hidden variables matter.
J. ❌ 관계가 보이면 바로 결론을 낸다. ✅ ＿＿＿＿을 피하며 신중하게 분석한다.
Avoid logical leaps and analyze carefully when a relationship appears. 🦘
Answer
논리적 비약 — ❌ Visible connection is not enough. ✅ Careful analysis prevents overclaiming.
📚
Vocabulary Box
  • 검증하다 → to verify/test
  • 변수 → variable
  • 반례 → counterexample
  • 우연 → coincidence
  • 근거 → evidence/basis
  • 성급한 결론 → hasty conclusion
  • 관련성 → relatedness/relevance
  • 착각 → mistaken assumption
  • 논리적 비약 → logical leap
  • 인과관계 → causal relationship
Tip 💡 Pitfall patrol rule: if the claim says “therefore, definitely,” ask for 근거, check 변수, and watch for 논리적 비약.
 
🎉 Excellent work — you can now discuss causes, correlations, evidence, variables, and reasoning errors with much sharper Korean. Keep your claims careful and your logic tidy. 🧠✨