Introduction: Becoming an Evidence Detective

Welcome to a vital part of your Thinking Skills (9694) journey! In the "Using Evidence" section of Paper 2, you aren't just reading facts; you are learning to look beyond the facts. This chapter focuses on suggesting inferences.

Think of evidence like a set of footprints in the snow. The footprints are the evidence (the facts). The idea that "someone walked here recently" is your inference. Learning how to suggest these inferences correctly is the difference between being a great detective and just guessing in the dark. Don't worry if this seems a bit abstract right now—we will break it down step-by-step!

What is an Inference?

In the context of your Cambridge syllabus, an inference is a conclusion you draw based on the evidence provided. It is a statement that is not explicitly written in the text, but one that the evidence supports.

Important Distinction: Evidence is what we know for sure. An inference is what we can reasonably claim because of that evidence.

Example:
Evidence: "The school cafeteria sold 500 salads today, but only 10 burgers."
Suggested Inference: "Healthy eating options were more popular than fast food among students today."

How to "Suggest" an Inference

The command word "Suggest" means you need to put forward a proposal or consideration. In your exam (Paper 2, Section A), you will be asked to look at sources (text, graphs, or tables) and suggest what they allow us to conclude.

Step 1: Identify the Evidence

Read the source carefully. What specific facts are being presented? Look for numbers, trends, or direct statements from witnesses.

Step 2: Ask "What does this mean?"

Think about what must be true, or is likely to be true, given those facts.
Ask yourself: If these facts are correct, what is the 'next logical step' in the story?

Step 3: Keep it Cautious

In Thinking Skills, we rarely deal with 100% certainty. Use "soft" language to make your inference more robust.
Safe words to use:
- "This suggests that..."
- "It is likely that..."
- "This could indicate..."
- "It is possible that..."

The Difference Between Reasonable and Overdrawn Inferences

A common mistake students make is "jumping to conclusions." This is called an overdrawn inference—it goes much further than the evidence actually allows.

Scenario: "Company A's profits dropped by 20% immediately after they hired a new CEO."

  • A Reasonable Inference: "The new CEO's arrival coincided with a period of financial difficulty for the company." (This stays close to the facts.)
  • An Overdrawn Inference: "The new CEO is bad at their job and caused the company to lose money." (The evidence doesn't prove the CEO caused the drop; it could have been a market crash or a seasonal change.)

Quick Review: Always check if your suggested inference is actually supported by the source, or if you are adding your own outside assumptions!

Applying the Skill: Graphs and Tables

In Section A of Paper 2, you will often see numerical data. Suggesting an inference from a graph involves identifying a trend.

If a graph shows that as "Hours of Study" increase, "Exam Scores" also increase, you can suggest an inference: "There is a positive correlation between preparation time and academic performance."

Note: We must be careful not to confuse correlation (things happening together) with causation (one thing definitely causing the other). If the syllabus asks you to suggest an inference, stick to what the data shows happening.

Syllabus Context (2027 vs 2028)

While the goal is the same, the syllabus structure changes slightly depending on when you sit your exam:

  • For 2027 Exams: This skill is listed under 5.2 Use Evidence. You are expected to use the sources to form a judgement.
  • For 2028-2030 Exams: This is specifically coded as 5.3.3 Suggest inference from evidence. It is part of a broader set of skills including assessing inferences (5.3.2) and challenges to inferences (5.3.4).

Regardless of the year, the "Suggest" command remains an AO2 (2027) or AO1 (2028) skill, focusing on your ability to process and use information effectively.

Common Pitfalls to Avoid

Even the best students can get tripped up. Here is what to watch out for:

  • Stating the obvious: Don't just repeat the evidence. If the source says "The car is red," don't say "I infer the car is red." That’s just reading!
  • Ignoring the context: Always look at the source's reputation or bias (covered in the Credibility chapter) before deciding how much weight to give your inference.
  • Using outside knowledge: Only suggest inferences based on the provided sources. Even if you know a lot about the topic in real life, the exam tests your ability to use the evidence on the page.

Key Takeaways Checklist

• Identify: Start with a clear fact from the source.

• Connect: Link that fact to a logical conclusion that isn't explicitly stated.

• Moderate: Use cautious language ("suggests," "may," "likely").

• Limit: Ensure the inference doesn't go further than the evidence allows (don't overdraw).

Ready for the next step? To see how these inferences are tested against counter-arguments, check out the chapter on "Suggest challenge to inference from evidence."