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Every AR question contains distractors — features that change between boxes but are not part of the rule. Distractors exist for one purpose: to waste your time. If you spend seconds analysing a feature that turns out to be irrelevant, you have lost time you cannot recover at 14 seconds per question. This lesson teaches you to identify and dismiss distractors efficiently.
A distractor is any visual feature that:
The rule is the feature that is consistent across all boxes. Distractors are the features that are inconsistent. This is the fundamental distinction:
Consistent feature = potential rule. Inconsistent feature = distractor. Ignore it.
Test designers use every SCANS category as potential distractors:
| Distractor category | Example | What you might waste time on |
|---|---|---|
| Shape type | Different shapes in each box (circles in one, squares in another) | Trying to find a shape-type pattern that does not exist |
| Colour/shading | Random mix of black, white, grey shapes | Looking for a colour ratio or conditional colour rule |
| Size | Random large and small shapes | Searching for a size pattern or size-colour link |
| Number | Different numbers of shapes per box (2, 5, 3, 4, 1, 6) | Trying to find a number rule or odd/even pattern |
| Position | Shapes in different positions in each box | Looking for positional or arrangement patterns |
| Orientation | Shapes rotated to different angles | Searching for rotation patterns |
Test designers construct distractors with deliberate intent to mislead. Common strategies include:
A feature that looks like it could be a pattern but breaks down in one or two boxes.
Example: Boxes 1-4 of Set A all have a circle, but Boxes 5 and 6 do not. A circle is NOT the rule — it is a coincidental near-pattern. The real rule might be about the total number of shapes being even (which also holds for Boxes 5 and 6).
A visually striking feature that grabs attention but is irrelevant.
Example: Every box contains one very large, prominently black shape. Your eye is drawn to it immediately. But the actual rule is about the total number of small shapes (always 3). The large black shape is a deliberate attention-grabber.
Adding many shapes to each box so the sheer visual complexity makes it hard to focus.
Example: Each box has 6-8 shapes of various types, sizes, and colours. The rule is simply "total number of sides is always 20" — but the visual noise of 8 shapes makes counting difficult.
As you apply SCANS, you are looking for what stays the same across all boxes. If a feature changes randomly, it is a distractor. Move on immediately.
Compare the first two boxes:
Then check Box 3: does the "same" feature hold? If yes, you have a candidate rule. The "different" features are likely distractors.
Any candidate rule must hold for all 6 boxes. Check each one. If it fails even once, it is not the rule (or there is a conditional element — see the previous lesson).
Set A:
Applying SCANS:
S (Shape): Box 1 has circles, triangles, squares. Box 2 has hexagons, pentagons. Box 3 has arrows, diamonds, circles, triangles. No consistent shape type. → Distractor
C (Colour): Box 1 has black, white, grey. Box 2 has white, black. Box 3 has grey, black, white. Mix of colours in every box but no consistent ratio. → Distractor
A (Arrangement): Shapes are in different positions across boxes. No fixed position, no symmetry pattern. → Distractor
N (Number): Box 1: 4 shapes. Box 2: 4 shapes. Box 3: 4 shapes. Box 4: 4 shapes. Box 5: 4 shapes. Box 6: 4 shapes. Consistent! → Potential rule
S (Size): Mix of large, medium, small in most boxes. No consistent pattern. → Distractor
Rule: Every box contains exactly 4 shapes. Shape type, colour, size, and position are all distractors.
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