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The Behavioral Observations Podcast with Matt Cicoria

What does exertion, sleep, and Covid-19 have to do with each other? Session 143 with John Capodilupo

The Behavioral Observations Podcast with Matt Cicoria

Matt Cicoria

Science, Mental Health, Skinner, Behaviorism, Behaviorconsultant, Aba, Behavioralpsychology, Health & Fitness, Appliedbehavioranalysis, Autism, Acceptanceandcommitmenttherapy, Fba, Social Sciences, Verbalbehavior, Bcba, Functionalassessment, Discretetrial

4.8648 Ratings

🗓️ 5 January 2021

⏱️ 46 minutes

🧾️ Download transcript

Summary

In Session 143, I chat with John Capodilupo, co-founder of Whoop, the maker of the Whoop strap system I've been talking about for the last several episodes.

At the risk of sounding like an informercial for this neat product, I've really enjoyed using the Whoop strap for the last few months. If you aren't familiar with it, the Whoop strap is a wearable device that tracks all sorts of cool metrics, including sleep, calorie burn, heart rate, and more.

As John notes in the podcast, the folks at Whoop are using data science and machine learning to optimize personal health. And they do this through these proprietary metrics that are generated from the device. John gets into the weeds on this topic, and regardless of whether you're in the market for wearable tech, I think you'll find it quite fascinating!

We also discuss Whoop's involvement in research in detecting the early stages of both Covid-19 and Alzheimer's disease. I think this device and the data it produces, is giving us a window to the future of big data and public health research. Fascinating times we live in for sure!

If you're interested in trying out a Whoop strap for yourself, check out join.whoop.com/matt and save $30 in the process. You can also go to behavioralobservations.com/whoop, and that will take you in the right direction too.

At the request of a listener who's been a Whoop user for quite a while, I've created a Facebook group, Behavior Analysts who Whoop, so feel free to join the group, ask questions, and so on.

Here are the links to the resources we discussed:

I also wanted to let you know that I've decided to start a Patreon for Behavioral Observations. I arrived at this after much consideration. When I first heard about Patreon, it felt like a mechanism for asking for a handout... kind of like an internet tip jar, and I didn't start one because there was not enough value in it for the listener.

Fortunately, Patreon has really stepped up their game to the point where they are able to offer subscribers really cool benefits. Specifically, depending on which membership tier is chosen, subscribers can access an ad-free podcast feed, subscribers-only bonus content, discounts in the Behavioral Observations CEU store, and much more.

Earlier today, I just uploaded a great Q & A session with Greg Hanley that we recorded last spring, which is available for All Access and Institutional level subscribers.

I'm also working with a few different companies and I hope to be able to offer subscriber-only discounts for products and services from other folks in the ABA space. So if this sounds good to you, head over to patreon.com/behavioralobservations to learn more!

Transcript

Click on a timestamp to play from that location

0:00.0

Hey, everyone, happy new year. I hope you had a great and restful holiday. I'm recording this

0:05.3

introduction on January 4th, 2021. And I'm sharing this interview today that I recorded a couple of

0:13.7

weeks ago with John Capadaluppo, co-founder of Woop, the maker of the Woop Strap System that I've

0:20.5

been talking about for the last several episodes.

0:23.9

And at the risk of sounding like an infomercial for this neat product, I've really enjoyed using the Woopstrap for the last few months.

0:32.4

And if you're not familiar with it, the Woopstrap is a wearable device that tracks all sorts of cool metrics,

0:37.8

including sleep, calorie burn, heart rate, and much, much more. As John notes in the podcast,

0:45.0

the folks at Woop are using data science and machine learning to optimize personal health,

0:50.2

and they do this through these proprietary metrics that are generated from this device.

0:54.5

And don't worry, John goes into the details on this.

0:57.8

And regardless of whether you're in the market for some wearable tech,

1:01.5

I think you'll find this stuff quite fascinating,

1:05.0

if for no other reason but from a product development and an engineering standpoint,

1:09.5

it's just really fascinating stuff.

1:12.2

We also discussed WOOP's involvement in research

1:15.0

in detecting the early stages of both COVID-19 and Alzheimer's disease.

1:19.3

They're funding lots of interesting research in these areas.

1:23.6

And I think this device and the data that it produces

1:26.5

is giving us a window in the future of big tech and big data, public health research, and so on and so forth.

1:32.9

So it's really fascinating times that we live in for sure.

1:36.8

If you're interested in trying out a whoop strap for yourself, check out join.wop.com forward slash mat and save 30 bucks in the process. You can also go to

1:48.2

behavioral observations.com forward slash whoop. And that will take you to the right place as well.

...

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