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Pretending to be People

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Pretending to be People

 4.9 via 1,963 ratings in Apple Podcasts, Spotify, Podchaser and Podcast Addict
Data: Rephonic
A comedy podcast from Pretending to be People
Website: https://www.pretendingpod.com/
Explicit

Pretending to be People is a mystery/horror role-playing podcast. Join Zach, Thomas, Luke, and Joe as they navigate a terrifying campaign filled with twists, turns, and laughs - all decided on a roll of the dice. Can the officers of the Contention Police Department unravel the mysteries suddenly plaguing their sleepy town? Will they die – or worse – in the attempt? This is an actual play utilizing the game systems of Delta Green and Pulp Cthulhu. This is Pretending to be People.

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This podcast may use tracking and attribution and dynamic content insertion

Stats: Statistics are produced by Acast to help Pretending to be People to understand how many downloads it is getting, or how many people are listening. Your device’s IP address and user agent is used to help calculate this figure. Acast is IAB v2 certified. Here is more detail about podcast statistics.

Tracking and attribution: Acast or its partners may connect the fact you listened to this podcast to an action elsewhere on the internet. For example - it may spot a device that downloaded an episode of Pretending to be People later visited the website of an advertiser; or it may track that a device that listened to Pretending to be People also listened to a different show. This form of attribution is used to measure advertising effectiveness.

Dynamic content insertion: Acast may use limited data that they know about you - the device you’re using, the approximate location you’re in, or other data that can be derived from this, like the current weather forecast for your area - to change parts of the audio. Pretending to be People may do this for advertising or for other forms of content, like news stories.

Pretending to be People is able to use the above tools since its podcast host or measurement company offers this service. It doesn’t mean that this individual podcast uses them, or has access to this functionality. We use open data.

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