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1. Switchback experiments, also known as time split experiments, are a type of experimentation technique where subjects are separated into groups and the same treatment is applied to everyone in each group. This design is used when there are meaningful dependencies between subjects that can affect each other's actions.

2. The analysis of switchback experiments can be done by comparing the overall difference in metrics between the control treatment and the experimental treatment across all time intervals. There are different approaches to analyzing the results, such as treating each time interval or each subject as a single observation.

3. Switchback experiments have advantages such as accounting for strong dependencies between subjects, having a simple design that is easy to explain, and allowing for the specification of the experiment design ahead of time. However, they also have disadvantages including being less widely understood than simple AB tests, being susceptible to disruptions from large events, and requiring subjective choices for the time interval and analysis methods.

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