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003 — No Edits
Manage episode 416787684 series 3572783
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tl;dr I am not going to be editing these episodes, so please bare with me.
Although, if you want me to reflect on it a bit more, there’s a reason for making the active choice to not edit these episodes. Part of that decision is based on efficiency, as I work through these episodes I am trying to take all the ideas swirling around in my head and pluck a single one that I can try to break down and pick apart within a quick 10 minutes—maybe a little more, or a little less. I could definitely try to get to that same time constraint by recording a bunch of material and whittling it down to fit the space required, but with that approach I feel like you lose all the nuance on the topic, and you don’t get to hear the gears grind through the topic. Also, recording 30 minutes or an hour of material and trying to edit it neatly into a 10 minute episode that sounds fluid and coherent sounds like a miserable task, that I both don’t have the patience, nor the time to take on.
So, please bare with me if I happen to misspeak or mispronounce a few things from time-to-time. I hope the core ideas ring through and you are still able to take away something. And, along those lines, I go into my OCD approach to listening to albums and podcasts, and recommend that if you do intend on listening to multiple episodes of this podcast, that you should try to do that from the earliest episode and listen until the current/last episode. Just a recommendation, you do you, but from my experience with other episodes, I will probably be referencing either ideas or projects from the past, or may even come up with some made up word that I reference from an earlier show, so listening to them chronologically will probably reduce the confusion level as those pop up.
To follow along, you can find me at ryanhefner.com, follow me on Twitter @ryanhefner, and keep up with the show on allplay.fm and @allplayfm.
Help yourself, while supporting the show, by trying some of the services that I use, and highly recommend:
Transistor FM
Fathom Analytics
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