LongRunLactic
The LongRunLactic podcast is an audio extension to the Long Run Lactic media network. LongRunLactic is a concept devoted to cultivating, documenting, and curating the beauty of finding fitness through not only long runs but many training bouts and documenting the culture of the sport. One’s journey to develop fitness often extends far beyond the reach of miles logged and weights lifted. There is a defined culture within growth. As we transition away from the notion of “what we know” and into a period of “becoming” we often take for granted the array of personal traits and emotional additives that come with it. Through exposure of where we’ve come from we develop an understanding of what can be.
From the infancy of our first steps to the conquest of a race won, we all have a story to tell. Through the Narrows of Zion and up the rocky ranges of the Dolomites, LongRunLactic is dedicated to sharing the stories and cultivating the culture of those letting the lactic build.
Let it build. Let it breathe.
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© Bernard England · more info
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This podcast may use tracking and attribution and dynamic content insertion
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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 LongRunLactic later visited the website of an advertiser; or it may track that a device that listened to LongRunLactic 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. LongRunLactic may do this for advertising or for other forms of content, like news stories.
LongRunLactic 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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