# The Impact of a Two-Degree Difference

Visualizing temperature data

- **Source:** [FlowingData](https://brifing.si/source/86da369b-760b-453a-8b8d-38c520eca77c)
- **Published:** 2026-07-10
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://flowingdata.com/2026/07/10/two-degrees-looks-like-a-lot/>
- **On Brifing:** https://brifing.si/s/b5e3d93d-1c95-4f40-88de-f2f78063b76d

## Introduction

Fox 8's study in New Orleans demonstrated how a baseline just below 92 degrees Fahrenheit can make a two-degree difference appear significant. This highlights an important point in temperature data visualization.

## Data Visualization

Bar charts are frequently used to show temperature differences. However, the choice of baseline can significantly affect how these differences are perceived.

## Baseline Effect

Using a baseline below 92 degrees Fahrenheit makes a two-degree difference more noticeable. This allows for more effective presentation of data.

## Perception vs. Reality

In data visualization, perceived differences can appear larger than actual differences. This underscores the importance of baseline selection.

## Application

This technique can be applied to temperature data as well as other types of data. Choosing the right baseline makes the data more understandable.

## Conclusion

Fox 8's study emphasizes the importance of baseline selection in data visualization. The impact of a two-degree difference becomes more pronounced with the correct baseline.

## Sources covering this story

- https://flowingdata.com/2026/07/10/two-degrees-looks-like-a-lot/ — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._