Deletion Test Framework
Avoid the crowd
The Deletion Test Framework is a mental model that suggests avoiding areas of research or innovation that are currently popular or overcrowded. By doing so, individuals can increase their chances of making a meaningful contribution and standing out in their field. This framework is based on the idea that it is often more productive to focus on areas that are less crowded, rather than trying to compete in a crowded space.
- Avoid areas of research or innovation that are currently popular or overcrowded.
- Focus on areas that are less crowded to increase the chances of making a meaningful contribution.
- Be willing to take a different approach to stand out in a field.
- Identify the crowdDetermine what areas of research or innovation are currently popular or overcrowded.Pro tipUse tools such as publication databases or social media to identify trending topics.WarningBe careful not to get caught up in the excitement of a popular topic, and make sure to critically evaluate the potential for meaningful contribution.
- Look for alternative areas of focusIdentify areas of research or innovation that are less crowded, but still have potential for meaningful contribution.Pro tipUse tools such as literature reviews or expert interviews to identify areas that are ripe for exploration.WarningBe careful not to stray too far from your area of expertise, and make sure to stay focused on your goals.
A researcher uses the Deletion Test Framework to avoid studying a currently popular topic, and instead focuses on a less crowded area that has potential for meaningful contribution.
The Deletion Test Framework was described by EJ Chichi at Stanford, and is based on the idea that it is often more productive to focus on areas that are less crowded, rather than trying to compete in a crowded space.