The Challenger Disaster: How Poor Data Presentation Affected Decision-Making
- Karolina Dyrla-Mularczyk
- Oct 15, 2024
- 2 min read
Updated: Mar 17
The Challenger disaster, which occurred on January 28, 1986, is one of the most tragic events in the history of spaceflight. Seven astronauts lost their lives due to an explosion caused by malfunctioning O-rings in low temperatures. One of the key factors contributing to this tragedy was the improper presentation of data related to risk. In this article, we will examine how the poor data presentation influenced the decisions made before the launch.
One of the most serious errors in data analysis before the disaster was the limitation of presentations to selected emergency situations. The charts displayed only data concerning failures, misleading decision-makers and creating a false sense of security. The main issues related to this approach include:
lack of full context - the charts focused solely on emergency situations, neglecting prior incidents that could have suggested O-rings were susceptible to damage in low temperatures;
narrowed perspective - the selective presentation of data limited the perspective, preventing engineers and decision-makers from understanding the full risks associated with weather conditions.

Analysis of the situation surrounding the Challenger disaster reveals several important conclusions:
Impact on decisions - the limitation of presented data to emergency situations may have led to a false sense of security among decision-makers. As a result, engineers' concerns were overlooked, leading to tragic consequences.
Importance of comprehensive analysis - a complete picture of the situation, incorporating all available data, is essential for effective risk management. Proper information presentation is crucial for making informed decisions.
To avoid similar tragedies in the future, organizations involved in engineering and project management should:
Implement data presentation standards -develop standards for data visualization to ensure a full context in risk analysis.
Training in data analysis - provide training for decision-makers and engineers to better understand the significance of data presentation and risk analysis.
The Challenger disaster serves as a cautionary tale for all organizations engaged in engineering and project management. Improper data presentation had a critical impact on decisions that led to tragedy. It is essential to learn from past mistakes to ensure the safety and success of future space missions.
Do you need professional help in data analysis and visualization?
You could read more:
Lantz, B. (2024). Uczenie maszynowe w języku R. Helion: Gliwice.
https://spectrum.ieee.org/the-space-shuttle-a-case-of-subjective-engineering