Assess inferences made from evidence

Thinking Skills (9694) · Cambridge International AS Level · 5 min read · Updated: Sep 7, 2026

Welcome to Thinking Skills: Assessing Inferences

In Paper 2 of your Thinking Skills exam, you aren't just looking at facts—you are looking at what those facts mean. This is where inferences come in. An inference is a conclusion you draw based on evidence. For example, if you see someone walking into a room dripping wet (evidence), you might infer that it is raining outside (inference).

But wait! Is that inference always correct? Could they have fallen into a pool? Did someone spray them with a hose? In this chapter, we will learn how to assess (make an informed judgement about) whether an inference is strong, weak, or completely unsupported by the evidence provided.

What exactly is an Inference?

An inference is a "leap" from a known fact to a logical conclusion. In the Cambridge 9694 syllabus, you are required to look at a piece of evidence and decide if the claim being made from it is actually valid.

Key Difference:
- Evidence: "The footprints in the mud are size 12." (A proven fact).
- Inference: "The person who walked here was a tall man." (A logical guess based on the fact).

How to Assess an Inference

When you are asked to "assess" an inference in your exam, you are essentially acting as a judge. You need to decide how much weight the evidence carries. Use the following three steps to evaluate any inference:

1. The Strength of the Link

How closely does the evidence support the conclusion? A strong inference is one where the evidence makes the conclusion very likely. A weak inference is one where the evidence only gives a tiny hint, or requires too many "extra" assumptions.

Example:
Evidence: 90% of students who used this textbook passed their exams.
Inference: This textbook is a helpful study tool.
Assessment: This is a strong inference because there is a clear, direct correlation between using the book and passing.

2. The Scope of the Claim

Does the inference go too far? This is called over-inference. Look out for "extreme" words like all, every, never, or definitely. If the evidence is about a small group, the inference shouldn't be about the whole world.

Example:
Evidence: Two students in Class A forgot their pens today.
Inference: None of the students in this school are prepared for lessons.
Assessment: This is a weak inference. The scope is too broad—you cannot judge an entire school based on just two students in one class.

3. Consistency and Contradiction

According to the syllabus, we must check if an inference is consistent with the evidence.
- Consistent: The inference fits with the facts (it could be true).
- Inconsistent: The inference contradicts the facts (it cannot be true).

Quick Review: An inference can be "not inconsistent" with evidence, but that doesn't mean it's proven! It just means it hasn't been proven wrong yet.

Alternative Explanations

One of the best ways to challenge an inference is to suggest an alternative explanation. If there is another plausible reason for the evidence, then the original inference is less certain.

Analogy: The Broken Window
Evidence: There is a broken window and a baseball on the floor inside the house.
Inference: A neighborhood kid accidentally hit the ball through the window.
Challenge: Could a burglar have broken the window and then dropped a ball there to make it look like an accident? Because this could happen, the original inference is not 100% certain.

Note: For more on how to create these challenges, see the chapter "Suggest challenge to inference from evidence."

Common Mistakes to Avoid

Don't worry if this seems tricky at first! Many students make these common errors. If you can avoid them, you'll be ahead of the curve:

Confusing Evidence with Inference: Don't just repeat the evidence. If the question asks you to assess an inference, talk about the connection between the fact and the claim.
Being Too Certain: In Thinking Skills, we rarely use the word "proven." Instead, use phrases like "The evidence strongly supports..." or "The inference is poorly supported because..."
Ignoring the Context: Always look at the source. If the evidence comes from a biased source (a topic covered in Assess credibility), the inference drawn from it might be weaker.

Key Takeaways for the Exam

When you see a question asking you to assess an inference, follow this mental checklist:

1. Identify the Evidence: What do I actually know for sure?
2. Identify the Inference: What claim is being made?
3. Evaluate the "Jump": Is it a small, logical step or a giant, unsupported leap?
4. Check the Wording: Does it use "safe" words (likely, might) or "dangerous" words (always, must)?
5. Look for Alternatives: Is there any other way to explain the evidence?

Did you know? In the 2028 syllabus edition, Paper 2 focuses heavily on your ability to justify your judgements. This means you won't just say "the inference is weak"—you must explain why by pointing to flaws like "unrepresentative samples" or "lack of direct support."

Summary Table: Assessing Inference Quality

Quality of Inference	What to look for...
Strong	The inference is a direct, logical result of the evidence and uses cautious language.
Weak / Over-reached	The inference makes a "big" claim based on "small" or limited evidence.
Inconsistent	The inference actually goes against what the evidence says.
Speculative	The inference is a "guess" that has no real link to the evidence provided.

Quick check

Can you answer these now?

Open each question to check the key ideas from this chapter.

What is an inference in the context of Thinking Skills?

An inference is a logical conclusion or a "leap" drawn from known facts (evidence), rather than being a direct observation itself.

What is the difference between evidence and an inference?

Evidence is a proven fact or raw data, while an inference is the logical claim or conclusion derived from that data.

What defines a "strong" inference?

A strong inference is one where the evidence provided makes the conclusion highly probable and there is a direct, clear link between them.

What is "over-inference" in terms of the scope of a claim?

Over-inference occurs when a conclusion goes too far beyond what the evidence justifies, often by applying small-scale findings to a global or absolute context.

What is the difference between a consistent and an inconsistent inference?

A consistent inference fits with the facts and could be true, whereas an inconsistent inference contradicts the evidence and cannot be true.

How do alternative explanations affect the validity of an inference?

Alternative explanations weaken an inference by showing that the evidence could lead to a different conclusion, making the original claim less certain.

Why should students avoid being "too certain" when assessing inferences?

Because inferences deal with probability rather than absolute proof, using definitive words like "proven" is often inaccurate; cautious language is preferred.

What does it mean for an inference to be "speculative"?

A speculative inference is a guess that has no real logical link or direct support from the evidence provided.

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