Dr. Rhonda Barofsky

Basically, that's a normal, you know, that's a bell shaped distribution. What you see with my hand, you know, it's low. Some of the population's real low and then there's an average of the population and then it tapers. And some people have real high like depression in the population. Some people take my depression test would have a zero rate.

Basically, that's a normal, you know, that's a bell shaped distribution. What you see with my hand, you know, it's low. Some of the population's real low and then there's an average of the population and then it tapers. And some people have real high like depression in the population. Some people take my depression test would have a zero rate.

And others would have a 20, and the rest would be on kind of a bell-shaped distribution. You know, kind of most people clustered at some average value, whatever it might be in the population or in the group you're studying. But a bimodal distribution is where you have two bumps. It's clearly two populations with different means that are different from each other.

And others would have a 20, and the rest would be on kind of a bell-shaped distribution. You know, kind of most people clustered at some average value, whatever it might be in the population or in the group you're studying. But a bimodal distribution is where you have two bumps. It's clearly two populations with different means that are different from each other.

They're not all part of the same normal distribution. Like, for example, in a football game, you have half of the people in the stadium rooting for one team and half rooting for the other team. So that would be a bimodal distribution. But they're not all falling on the same curve. They're two different populations with two different kinds of responses.

They're not all part of the same normal distribution. Like, for example, in a football game, you have half of the people in the stadium rooting for one team and half rooting for the other team. So that would be a bimodal distribution. But they're not all falling on the same curve. They're two different populations with two different kinds of responses.

Well, the question would be, why might some people like David and Jill perhaps have, I know just, I can only speak for that one example, because for all I know, Jill loves meditating, but that have just intensely negative feelings. And some, as you say, Rhonda, love a loving kindness kind of meditation. And probably a lot of people just find it boring and indifferent sometimes.

Well, the question would be, why might some people like David and Jill perhaps have, I know just, I can only speak for that one example, because for all I know, Jill loves meditating, but that have just intensely negative feelings. And some, as you say, Rhonda, love a loving kindness kind of meditation. And probably a lot of people just find it boring and indifferent sometimes.

And I'm just saying, how would I be different from the people who are, you know, kindly loving the loving kindness?

And I'm just saying, how would I be different from the people who are, you know, kindly loving the loving kindness?

That's what we saw in the beta test of a year and a half ago with 290 beta testers of the app, that we asked them to predict what their hopelessness would be after using the app, their anger. You know, how hopeless are you from zero to 100? How angry are you at the initial evaluation before they'd ever been in the app?

That's what we saw in the beta test of a year and a half ago with 290 beta testers of the app, that we asked them to predict what their hopelessness would be after using the app, their anger. You know, how hopeless are you from zero to 100? How angry are you at the initial evaluation before they'd ever been in the app?

And then what do you think your scores on these seven negative feelings will be after you've used the app? And they weren't all exactly correct, but they were almost all almost exactly correct. Like they predict the mean of the group, the prediction was that the hopelessness would go from something like 0 to 100, like from 40 to 15.4.

And then what do you think your scores on these seven negative feelings will be after you've used the app? And they weren't all exactly correct, but they were almost all almost exactly correct. Like they predict the mean of the group, the prediction was that the hopelessness would go from something like 0 to 100, like from 40 to 15.4.

I'm just out of memory, and it actually, the actual end hopelessness was 15.1. It was within three hundredths. And and anger. A few of them were off by like a 16 prediction and a 12 actual on a zero to 100, which is still pretty damn close. But most of them were within a point or two. And it was just mind blowing.

I'm just out of memory, and it actually, the actual end hopelessness was 15.1. It was within three hundredths. And and anger. A few of them were off by like a 16 prediction and a 12 actual on a zero to 100, which is still pretty damn close. But most of them were within a point or two. And it was just mind blowing.

But the analyses also showed that there were that was only accounting for a small amount of the variance and change. The R-square attributed to that change. And that there were other causal factors going on in the app that caused these massive changes. And I'm just babbling now, but isolating the actual causes of change is, I think, incredibly important. So we find out, you know, what causes.

But the analyses also showed that there were that was only accounting for a small amount of the variance and change. The R-square attributed to that change. And that there were other causal factors going on in the app that caused these massive changes. And I'm just babbling now, but isolating the actual causes of change is, I think, incredibly important. So we find out, you know, what causes.

causes are real and how powerful are they and are they stronger than these expectational effects and how much of what we experience is what we brought into the experience and then we attribute it to the experience whereas it was our expectation that might have accounted for most of what happened and that could happen going to an amusement park, going to a church service or a

causes are real and how powerful are they and are they stronger than these expectational effects and how much of what we experience is what we brought into the experience and then we attribute it to the experience whereas it was our expectation that might have accounted for most of what happened and that could happen going to an amusement park, going to a church service or a