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Financial Times@jburnmurdoch · Nov 8, 2024 · Small multiples

Polling data representation

Financial Times's small multiples drew 415.4K views on X: 0.9x its typical post and #20 of 25 Financial Times charts we track by views. Read Oct 10, 2026.

My wish for the next election is that poll trackers look like the one on the right 👉 not the left

Posted on X by @jburnmurdoch (Financial Times), Nov 8, 2024. Source: x.com

Why it spread

It spread because an independent author made a pointed argument about how polling charts shape perception, and the post reached 415,362 views with 3,859 likes, 645 reposts, 77 quotes and 615 saves.

What worked

  • The post pairs a clear opinion with a visual comparison, using a small-multiples chart to show that different representations of polling data affect narrative accuracy.
  • The framing is simple and memorable: the wish is that poll trackers look like the one on the right, not the left, which gives viewers an immediate side-by-side judgment.
  • The chart is branded and shows a source line, while the unusual chart type and independent author status helped it stand out in a data-journalism feed.

What to borrow

We could use the same form by placing our own data in a small-multiples comparison that contrasts a misleading default view with a more honest view, then state the editorial point directly in the post text.

Careful

Do not over-read the quote rate, which was below average, or assume the chart alone drove the spread; the measured numbers describe reach and engagement, not causation.

Written by our analysis model from the measured numbers above, not by Financial Times.

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API

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Questions people ask

How far did Financial Times's "Polling data representation" chart travel?

415,362 views, 3,859 likes, 645 reposts and 615 saves on X, read Oct 10, 2026. A normal post from @jburnmurdoch gets about 455K views.

What kind of chart is it?

A small multiples. Different representations of polling data affect narrative accuracy.

Can I use Financial Times's chart?

Use the format, not the picture. The chart, logo and design belong to Financial Times. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.