Wonder
This is Wonder, a five-minute audio experience designed to transport you far away from the chaos of life. With each weekly episode, you’ll discover a new element of the natural world, from extraordinary creatures to otherworldly places and phenomena. You’ll discover something about yourself, too, through five minutes of mindfulness and escape from the everyday. So put your headphones on, close your eyes, and let us lead you through a rich, serene soundscape, giving you a chance to breathe – and wonder.
Wonder is a Brazen production. For more from Brazen, check out our podcast channel in Apple Podcasts or visit our website at brazen.fm.
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This podcast may use tracking and attribution and dynamic content insertion
Stats: Statistics are produced by Megaphone and Chartable to help Wonder 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. Megaphone is IAB v2 certified. Here is more detail about podcast statistics.
Tracking and attribution: Megaphone, Chartable and Nielsen or their partners may connect the fact you listened to this podcast to an action elsewhere on the internet. For example - they may spot a device that downloaded an episode of Wonder later visited the website of an advertiser; or they may track that a device that listened to Wonder also listened to a different show. This form of attribution is used to measure advertising effectiveness.
Dynamic content insertion: Megaphone 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. Wonder may do this for advertising or for other forms of content, like news stories.
Wonder 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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