Information design

04 / Present honestly

04 / PRESENT HONESTLY

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Key question

When is a graphic misleading?

Graphics appear objective, but can easily be misleading: through truncated axes, distorted areas, or cherry-picked timeframes. Sometimes this is deliberate, but often it's an oversight.

Learning objective: You can identify typical distortions, explain their effects, and present data honestly.

A graph can be misleading, even if all the figures are correct.

4.1 / Axes and Scale

The baseline defines the overall impression.

With bar charts, the eye compares the lengths of the bars. If the axis does not start at zero, small differences appear huge. Edward Tufte called the ratio of represented change to actual change the 'Lie Factor'; an honest value is close to 1.

For line charts, a non-zero axis can be useful when showing changes, provided it is clearly labelled.

Bars start at zero.

Try it out
Axis trick

Move the start of the axis and observe how much the impression and the Lie Factor change.

The same data: approval at 51 % in 2025, 54 % in 2026. Change the axis and watch the impression.

0 %60 %51 %202554 %2026

Lie Factor

1.0

Honest: the chart shows the change as large as it is.

The chart height hardly changes the impression, the axis does strongly. Bar charts should therefore start at zero.

4.2 / Surfaces, 3D and Selection

Distortion takes many forms.

In addition to axes, there are other typical distortions:

01

Areas

If the height and width of a symbol are doubled, its area quadruples.

02

3D

Perspective distorts sizes; parts in the foreground appear larger.

03

Period

A well-chosen crop can invent a trend.

04

Cover

Absolute figures without reference to the size of the group are misleading.

In 'How Charts Lie', Alberto Cairo shows that even accurate charts can mislead if they conceal uncertainty or are presented without context.

Context is part of the truth.

4.3 / Sources and Uncertainty

Honesty is also reflected in the small print.

Every graphic needs a source, a date and, where necessary, an explanation of the methodology. This allows others to verify the statement.

Data often has uncertainties, such as in surveys or forecasts. Error bars, ranges, or a note make it visible how certain a statement is. Read more about honest design in Design Psychology, Section 8.2.

No source, no graphic.

Exercise

The same data, two stories

Task: Show how easily graphics can be misleading, and how to do it better.

STEP 1

Take a small data set with two to five values.

STEP 2

Create a deliberately exaggerated version: truncated axis, 3D, cherry-picked time frame.

STEP 3

Design an honest version with a zero baseline, source, and context.

STEP 4

Show both versions to others and ask for their impressions.

Evaluation: How much did the impressions differ?

© 2026 Corinna Kost, Basel