What is the difference between reproducible and replicable?

Definitions

- Referring to scientific experiments or studies that can be repeated by other researchers using the same methods and data. - Describing a process or result that can be replicated with consistent outcomes. - Talking about software or code that can be run on different machines or environments with the same output.

- Describing a process or result that can be duplicated in a different context or setting. - Referring to a study or experiment that can be repeated with different participants or variables and still yield similar results. - Talking about a product or innovation that can be recreated or imitated by others.

List of Similarities

  • 1Both words refer to the ability to repeat or duplicate a process or result.
  • 2Both words are commonly used in scientific or technical contexts.
  • 3Both words imply consistency and reliability in the outcome.

What is the difference?

  • 1Scope: Reproducible refers to repeating a process or result using the same methods and data, while replicable refers to duplicating a process or result in a different context or with different variables.
  • 2Usage: Reproducible is more commonly used in scientific research, while replicable is more often used in business or innovation contexts.
  • 3Emphasis: Reproducible emphasizes the importance of using the same methods and data to achieve consistent results, while replicable emphasizes the ability to recreate a process or result in a different context.
  • 4Connotation: Reproducible has a more technical connotation, while replicable has a broader connotation that can apply to various fields.
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Remember this!

Reproducible and replicable both refer to the ability to repeat or duplicate a process or result. However, reproducible emphasizes the importance of using the same methods and data to achieve consistent results, while replicable emphasizes the ability to recreate a process or result in a different context. Reproducible is more commonly used in scientific research, while replicable is more often used in business or innovation contexts.

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