WEBVTT - Episode One: When a Calorie Isn’t A Calorie

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<v Speaker 1>We're gonna chack one almond, see how much it weighs. Okay,

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<v Speaker 1>I'm not happy with the size of this almond because

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<v Speaker 1>it's touching the edges of the capsule. So I'm gonna

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<v Speaker 1>take a smaller piece, once smaller. So I'm standing in

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<v Speaker 1>a government laboratory in Beltsville, Maryland with Teresa Henderson, a

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<v Speaker 1>scientist with the US Department of Agriculture. She's sizing up

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<v Speaker 1>a zip block bag of almonds that I brought here

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<v Speaker 1>with me as a snack. I've just asked her if

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<v Speaker 1>we could do a little experiment to figure out how

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<v Speaker 1>many calories are in my almonds A half one, because

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<v Speaker 1>that might be too small where I can be cut it.

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<v Speaker 1>Calories are everywhere. They're listed on the packaging of your

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<v Speaker 1>favorite junk food and on the menus at chain restaurants.

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<v Speaker 1>Apps like my fitness Pal and new exists mainly to

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<v Speaker 1>track exactly how many calories you eat each day. There

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<v Speaker 1>are numbers that a lot of us spend a lot

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<v Speaker 1>of time considering. I know I do. A banana has

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<v Speaker 1>about a hundred calories. A slice of bacon, haste, if

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<v Speaker 1>you can eat just one. These numbers are treated like gospel,

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<v Speaker 1>But have you ever stopped to think where do they

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<v Speaker 1>come from? Figuring that out is what brought me here

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<v Speaker 1>to this U. S. D A lab. This was the

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<v Speaker 1>start of a journey into the world of diets, where

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<v Speaker 1>I quit clely learned that a lot of the things

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<v Speaker 1>we think of as fact are a lot more complicated,

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<v Speaker 1>including the calorie. But first, back to our little science

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<v Speaker 1>experiment with Teresa. She's about to explode my almond literally

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<v Speaker 1>to figure out how many calories are in it. A

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<v Speaker 1>little chap. Teresa is chopping up my almond to prepare

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<v Speaker 1>it for a machine called a bomb calorimeter. It's this big,

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<v Speaker 1>boxy gray thing about the size of a printer. Put

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<v Speaker 1>my two thirds of an almond in there, and it weighs.

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<v Speaker 1>Teresa puts the almond in a small, shallow tray called

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<v Speaker 1>a combustion capsule. The tray gets connected to a fuse

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<v Speaker 1>wire and the whole thing is lowered into a metal

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<v Speaker 1>container inside the machine. This is the bomb part of

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<v Speaker 1>bomb calorimeter. The bomb is surrounded by water. The water

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<v Speaker 1>is going to heat up, and however hot it gets

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<v Speaker 1>will tell us how many calories my almond has. And

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<v Speaker 1>now it's starting so it's equilibrating and going through its process.

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<v Speaker 1>For a few minutes, it's quiet. All I can hear

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<v Speaker 1>is a low hump. The beeping means an electric current

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<v Speaker 1>is going to pass through the fuse wire and explode

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<v Speaker 1>my snack. You might expect blowing up an almond to

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<v Speaker 1>make a big bang, noise or something, but it actually doesn't.

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<v Speaker 1>It should be. We'll find out if it worked correctly,

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<v Speaker 1>the almond would be gone. Ah, temperature is going up.

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<v Speaker 1>That's a good sign. But what does blowing up my

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<v Speaker 1>almond have to do with calories? So it's just basically,

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<v Speaker 1>if you throw a log of wood on a fire,

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<v Speaker 1>it's going to burn and give off heat. Right, it's

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<v Speaker 1>the same concept. You're throwing, you know, a measured amount

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<v Speaker 1>of food or whatever and burning it, and it's going

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<v Speaker 1>to give off heat, and you're measuring the amount of

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<v Speaker 1>fuel energy in that food bomb. Calorimeter prints out a

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<v Speaker 1>little white paper that looks like a receipt. Teresa tears

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<v Speaker 1>it off and reads the result. My single almond contains

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<v Speaker 1>about seven calories. She opens up the machine. There's nothing

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<v Speaker 1>left but a few black smudges. You can see that

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<v Speaker 1>almond burnt very nicely, my snack is gone. But don't

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<v Speaker 1>write that number in your food log just yet. Calories

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<v Speaker 1>are way more complicated than our little experiment might suggest.

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<v Speaker 1>I'm going to get into that soon. First, let's start

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<v Speaker 1>with a more basic question. What is a calorie anyway?

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<v Speaker 1>And where do the calorie counts on foods come from?

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<v Speaker 1>What's the calorie? Calorie? Is something that makes it belly fat?

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<v Speaker 1>How they figure it out? I don't know. You just

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<v Speaker 1>read the can and that's how much calories is in

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<v Speaker 1>the food? I have no clue. I used to think

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<v Speaker 1>that there was a method where they I don't. I

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<v Speaker 1>don't know. I could only guess. Calories represent how much

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<v Speaker 1>energy there is in food. Energy your body then uses

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<v Speaker 1>to do all the things it does in a day.

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<v Speaker 1>I think of it like fuel in a car's gas tank.

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<v Speaker 1>Calories power your walk to the off this, cooking dinner

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<v Speaker 1>when you get home, even reading your kids a bedtime story. Wow,

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<v Speaker 1>the only thing I like. I'll X I'll google it.

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<v Speaker 1>How many calories is in one egg? How many calories

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<v Speaker 1>isn't one slice of turkey? Vegans? These are the voices

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<v Speaker 1>of some nice strangers who we interviewed while they were

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<v Speaker 1>shopping at a Whole Foods in Brooklyn, and there are

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<v Speaker 1>pretty good representation of well all of us. Everyone's at

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<v Speaker 1>least heard of a calorie, and for many of us,

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<v Speaker 1>they actually play a pretty big role in our decisions

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<v Speaker 1>about food. Calories have this incredible power over us. We're

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<v Speaker 1>obsessed with calories because we're obsessed with being thin, but

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<v Speaker 1>most of us have no idea what a calorie really

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<v Speaker 1>is or how they're calculated. And here's the thing. People

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<v Speaker 1>like to say a calorie is a calorie, but the

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<v Speaker 1>calorie isn't actually that straightforward. The number of calories in

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<v Speaker 1>a food can change depending on how we prepare it

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<v Speaker 1>and who's eating it. Calorie counts on foods can even

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<v Speaker 1>sometimes be wrong, like our almond from earlier. Scientists are

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<v Speaker 1>still to this day figuring out the best way to

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<v Speaker 1>measure how much energy the food that we eat has.

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<v Speaker 1>It's not just calories. Calories are the start of everything.

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<v Speaker 1>We still don't know about gaining and losing weight and

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<v Speaker 1>what weight has to do with being healthy anyway. But

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<v Speaker 1>that hasn't stopped people from telling you exactly how to

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<v Speaker 1>finally drop that last ten pounds or bragging that they

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<v Speaker 1>still fit into their high school genes or doctors from

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<v Speaker 1>telling you to lose weight. It also hasn't sat people

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<v Speaker 1>from making tons of money off of totally unscientific advice.

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<v Speaker 1>I'm am a court healthcare reporter for Bloomberg News. This

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<v Speaker 1>is Losing It a podcast from Prognosis. We've been trained

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<v Speaker 1>to think of dieting as a weight loss solution, but

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<v Speaker 1>a lot of the science actually suggests the opposite. Dieting

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<v Speaker 1>may work in the beginning to bring that number down

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<v Speaker 1>on the scale, but as the weeks and months turn

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<v Speaker 1>into years, the reality is that people usually don't keep

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<v Speaker 1>the weight off. This series is about how and why

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<v Speaker 1>we've been going about weight loss all wrong, and whether

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<v Speaker 1>we should even be trying to lose weight in the

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<v Speaker 1>first place. I'm also going to look for a better

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<v Speaker 1>solution for us away out of this whole mess. But first,

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<v Speaker 1>let's talk some more about the humble calorie. Let's go

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<v Speaker 1>back in time to when the calorie as we know

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<v Speaker 1>it was born. Calories got popularized in the late nineteenth

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<v Speaker 1>century by a guy named Wilbur olin Atwater. Wilbur was

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<v Speaker 1>a chemistry professor at Wesleyan University who also worked for

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<v Speaker 1>the U S d A. He's actually considered the father

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<v Speaker 1>of nutritional science in the US. Years earlier, European scientists

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<v Speaker 1>had come up with the idea of using calories to

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<v Speaker 1>measure energy. Remember, calories are a unit of energy. Scientists

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<v Speaker 1>began using them to talk about heat powering machines like

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<v Speaker 1>steam engines. Later they started measuring calories in food. Wilbur

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<v Speaker 1>was drawn to this new way of thinking and got

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<v Speaker 1>really serious about figuring out how much energy was in

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<v Speaker 1>different foods. Wilbur was also worried about people over eating.

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<v Speaker 1>He wanted to know how much food people really needed.

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<v Speaker 1>The calorie looked like a great way to do just that,

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<v Speaker 1>so he tries to get the word out. He also

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<v Speaker 1>came up with a formula for calculating the caloric value

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<v Speaker 1>of food based on how much of it is fat, protein,

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<v Speaker 1>and carbohydrates. That's actually how most calorie counts on foods

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<v Speaker 1>get calculated today. The bond calorimeter we used earlier to

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<v Speaker 1>blow up my almond is a more old school method.

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<v Speaker 1>The calorie is an attractive measure because it is a

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<v Speaker 1>simplified number in which you can sort of put in

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<v Speaker 1>front of an item of food. This is Giles Yo

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<v Speaker 1>scientist with the University of Cambridge, and people think the

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<v Speaker 1>higher the number the worst of food. In very but simplistically,

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<v Speaker 1>in the environment, the lower number the better, the food,

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<v Speaker 1>healthier it is for you. But that is not true.

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<v Speaker 1>Giles is not a fan of the calorie. He actually

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<v Speaker 1>wrote a book with a pretty blunt title, why Calories

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<v Speaker 1>Don't Count. And about a decade ago, scientists at the

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<v Speaker 1>U s d A also start asking big fundamental questions

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<v Speaker 1>about calories. Their names were David Bear and Janet Navatni,

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<v Speaker 1>and they became interested in nuts, specifically. Yes, we're going

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<v Speaker 1>to talk more about nuts in this episode. Anyway, they

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<v Speaker 1>noticed that in some studies where people were fed nuts,

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<v Speaker 1>their bodies weren't fully breaking the nuts down. That's the

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<v Speaker 1>politest way of putting in. What we started to think

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<v Speaker 1>about was if the fat isn't being completely digested this

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<v Speaker 1>is David, and it's coming out in the waste and

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<v Speaker 1>the faces, then the calories from the fat aren't being

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<v Speaker 1>completely absorbed as well. And it made us wonder whether

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<v Speaker 1>we were getting accurate calorie values for tree nuts. So

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<v Speaker 1>David and Janet put this theory to the test. They

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<v Speaker 1>did a series of studies looking at almonds, pistachios, cashews,

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<v Speaker 1>and walnuts, and it turned out their hunch was right.

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<v Speaker 1>The typical calorie counts the numbers listed on labels at

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<v Speaker 1>food stores were too high for those nuts. The fat,

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<v Speaker 1>the stuff that makes nuts so high calorie, wasn't being

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<v Speaker 1>fully digested. The scientists were able to see this right

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<v Speaker 1>in people's poop, and like David said, if people weren't

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<v Speaker 1>digesting all that fat, they also weren't absorbing the calories

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<v Speaker 1>from that fat. The nuts turned out to have anywhere

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<v Speaker 1>between five and fewer calories than their nutrition label set,

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<v Speaker 1>and the nuts with the biggest difference almonds, like the

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<v Speaker 1>one we blew up in the lab. Nuts, like all

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<v Speaker 1>plant material, have a cell wall, and that's where we

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<v Speaker 1>find the fiber that's also resistant to digestion. We can

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<v Speaker 1>ferment it and break it down, but plant cells are

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<v Speaker 1>surrounded by the cell wall, and until you can open

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<v Speaker 1>up that cell wall, you can't get to what's inside

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<v Speaker 1>the plant cell. In the case of nuts, they're relatively

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<v Speaker 1>high in fat, so there's a lot of energy stored

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<v Speaker 1>within those cells. With whole nuts, that means unless you're

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<v Speaker 1>a really thorough chew er, you're probably pooping a lot

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<v Speaker 1>of fat out and that means fewer calories. So in short,

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<v Speaker 1>nutritional labels have been telling us for years that a

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<v Speaker 1>bunch of different kinds of nuts are more caloric than

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<v Speaker 1>they actually are, and that could be the case for

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<v Speaker 1>other food too. We've been trained to take calorie counts

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<v Speaker 1>on food incredibly seriously. We count our calories so we

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<v Speaker 1>don't eat too many. We we food to make sure

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<v Speaker 1>we're counting exactly how many calories were eating, or we

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<v Speaker 1>buy prepackaged food because those numbers seem like they're more accurate.

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<v Speaker 1>But as I dug into this all of that, it

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<v Speaker 1>started to seem like a giant waste of time and effort.

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<v Speaker 1>Wilbolan Atwater intended calories to be a tool for making

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<v Speaker 1>better decisions about how to fuel ourselves. Instead, we've wound

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<v Speaker 1>up in this world where somehow a hundred calories of

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<v Speaker 1>nuts seems equivalent to a hundred calorie pack of chips.

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<v Speaker 1>We're focusing on the number over the quality of food,

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<v Speaker 1>and we're also focusing on the number way too much.

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<v Speaker 1>We've taken it way too far. Somewhere along the way,

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<v Speaker 1>calories went from a guide to navigating food to some

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<v Speaker 1>sort of holy infallible thing, and in the process they've

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<v Speaker 1>also kind of become misinformation. These issues with calories go

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<v Speaker 1>way beyond nuts. Processing food, including by cooking, it also

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<v Speaker 1>changes the amount of calories we get from it. Why well,

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<v Speaker 1>For one, digestion is work and how hard you are

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<v Speaker 1>working affects the end calorie count of a food. Processing

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<v Speaker 1>or cooking food makes for less work for your body.

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<v Speaker 1>Is it a carrot, Is it a steak? Is it

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<v Speaker 1>a donut? That our body has to look to differing

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<v Speaker 1>degrees hard or not as hard to extract the calories,

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<v Speaker 1>and this cost energy And so therefore you have to

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<v Speaker 1>take this into account when you're try and account the

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<v Speaker 1>calories within the food. It's your body has to work

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<v Speaker 1>a hell of a lot harder to put out calories

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<v Speaker 1>from a carrot than it needs to from a donut.

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<v Speaker 1>The calories and a food can even depend on who

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<v Speaker 1>is eating it. If you and I ate the same sandwich,

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<v Speaker 1>we might get different amounts of energy from it. That

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<v Speaker 1>has to do with how different bodies processed food differently

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<v Speaker 1>because of genetics and factors like the gut microbiome. So

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<v Speaker 1>even though nutrition labels make it seem like calories are

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<v Speaker 1>a fixed value. They actually aren't. Calorie counts on food

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<v Speaker 1>are misleading at best, and food companies are playing their

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<v Speaker 1>own games. Okay, so a serving as q cups, which

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<v Speaker 1>is decent. It's there's there's of it allegedly seven servings

0:18:02.040 --> 0:18:04.560
<v Speaker 1>in this spect a hundred and forty calories per serving

0:18:04.640 --> 0:18:08.240
<v Speaker 1>and seventy for a cup. Okay, So is this food

0:18:08.280 --> 0:18:11.439
<v Speaker 1>good or bad for you? I have no idea. That

0:18:11.640 --> 0:18:14.840
<v Speaker 1>was me and the editor of this podcast, Christin V. Brown.

0:18:15.720 --> 0:18:18.480
<v Speaker 1>We're back at that Whole Foods in Brooklyn where we

0:18:18.560 --> 0:18:22.600
<v Speaker 1>interviewed people about calories. We wanted to check out calor

0:18:22.720 --> 0:18:26.160
<v Speaker 1>counts in the wild to get a sense of how

0:18:26.200 --> 0:18:31.119
<v Speaker 1>helpful this tool for evaluating food really is. One of

0:18:31.160 --> 0:18:33.600
<v Speaker 1>the things we looked at was a bag of Musely,

0:18:34.119 --> 0:18:38.040
<v Speaker 1>a quarter cop as a hundred and forty calories. You know, Musely,

0:18:38.840 --> 0:18:42.200
<v Speaker 1>the breakfast cereal that's kind of like granola. So that's

0:18:42.240 --> 0:18:47.000
<v Speaker 1>the same as our thirteen potato chips and our popcorn? Right? Yeah?

0:18:48.359 --> 0:18:51.160
<v Speaker 1>Why is a hundred and forty the magic number? Most

0:18:51.200 --> 0:18:54.800
<v Speaker 1>foods we looked at were around hundred and forty calories

0:18:54.880 --> 0:18:59.520
<v Speaker 1>per serving and hundred and forty doesn't sound like that

0:18:59.680 --> 0:19:02.560
<v Speaker 1>many calories. Feel like everything has had the same amount

0:19:02.600 --> 0:19:06.399
<v Speaker 1>of calori. See also a hundred and sixty is anyone

0:19:06.400 --> 0:19:08.960
<v Speaker 1>going to a serving size with more than two hundred calories?

0:19:09.800 --> 0:19:14.040
<v Speaker 1>According to the Food and Drug Administration, a serving size

0:19:14.359 --> 0:19:19.760
<v Speaker 1>isn't a recommendation, it's actually how much people usually eat

0:19:19.920 --> 0:19:24.400
<v Speaker 1>or drink that product. So when you see thirteen potato

0:19:24.520 --> 0:19:28.520
<v Speaker 1>chips is a serving size that's supposed to be how

0:19:28.560 --> 0:19:35.080
<v Speaker 1>many potato chips people eat in a sitting. Potato chips, Yeah, right.

0:19:36.160 --> 0:19:39.200
<v Speaker 1>And don't even get me started on how many servings

0:19:39.200 --> 0:19:43.960
<v Speaker 1>are in a container. Often you buy something small that's

0:19:43.960 --> 0:19:48.119
<v Speaker 1>obviously meant to be a single serving, and yet somehow

0:19:48.240 --> 0:19:53.159
<v Speaker 1>the label claims it's two or three or even four servings.

0:19:54.600 --> 0:19:58.400
<v Speaker 1>The more servings in a container, the fewer calories companies

0:19:58.480 --> 0:20:01.399
<v Speaker 1>have to list on the label, and the better it

0:20:01.400 --> 0:20:04.960
<v Speaker 1>looks when you compare it to another food. You're just

0:20:05.040 --> 0:20:07.800
<v Speaker 1>relying on calories. You would say, okay, I could have

0:20:07.880 --> 0:20:10.080
<v Speaker 1>popcorn for breakfast, or I could add usely and it

0:20:10.080 --> 0:20:11.960
<v Speaker 1>would be the same amount of calories. And so why

0:20:12.000 --> 0:20:14.399
<v Speaker 1>should I choose the thing that seems kind of gross

0:20:14.400 --> 0:20:18.800
<v Speaker 1>and healthy? Our field trip to whole Foods left me

0:20:18.880 --> 0:20:25.520
<v Speaker 1>wondering are calories fundamentally broken. I'm pretty much leaning yes

0:20:25.960 --> 0:20:29.560
<v Speaker 1>at this point, but many of the experts I spoke

0:20:29.640 --> 0:20:34.440
<v Speaker 1>with said they're working to improve calorie counts, not get

0:20:34.520 --> 0:20:40.760
<v Speaker 1>rid of them. Here's their argument. Sure, calories aren't perfect,

0:20:41.359 --> 0:20:47.040
<v Speaker 1>but they're essentially accurate, if not precisely. So they give

0:20:47.119 --> 0:20:50.760
<v Speaker 1>you a number you can compare with other foods, and

0:20:50.880 --> 0:20:54.920
<v Speaker 1>that can help you decide whether to have, say a pizza,

0:20:55.480 --> 0:21:00.199
<v Speaker 1>or a big salad for dinner. Here's Rachel Carmody, an

0:21:00.200 --> 0:21:05.560
<v Speaker 1>assistant professor of human evolutionary biology at Harvard University, saying,

0:21:06.000 --> 0:21:08.399
<v Speaker 1>you know, these food labels have been horribly wrong, and

0:21:08.440 --> 0:21:10.920
<v Speaker 1>we're just going to now revamp them all, which could

0:21:11.040 --> 0:21:13.800
<v Speaker 1>lead to a lot of confusion. So I think this

0:21:13.880 --> 0:21:16.280
<v Speaker 1>has to be done responsibly. We're trying to make the

0:21:16.280 --> 0:21:19.880
<v Speaker 1>tool more useful. The problem with this, though, is that

0:21:20.000 --> 0:21:23.679
<v Speaker 1>we all know the salad is the healthier choice for dinner,

0:21:24.320 --> 0:21:30.360
<v Speaker 1>not pizza. Sadly, people still use calorie counts to make

0:21:30.440 --> 0:21:35.040
<v Speaker 1>decisions about what they buy and what they eat. We

0:21:35.080 --> 0:21:39.000
<v Speaker 1>want to believe the calorie is this highly accurate measure,

0:21:39.760 --> 0:21:44.520
<v Speaker 1>down to a single calorie or two food labels lead

0:21:44.640 --> 0:21:49.479
<v Speaker 1>us to believe the same, but calories really shouldn't be

0:21:49.600 --> 0:21:54.119
<v Speaker 1>used like that. Calories give us the illusion of control

0:21:54.320 --> 0:21:58.760
<v Speaker 1>over diet and weight, but it's just that an illusion.

0:22:00.080 --> 0:22:04.800
<v Speaker 1>Giles Yo, the University of Cambridge researcher, who is anti calorie,

0:22:05.040 --> 0:22:08.040
<v Speaker 1>says it would be better instead to communicate a few

0:22:08.160 --> 0:22:13.440
<v Speaker 1>key measures of nutritional value, specifically the amount of fiber,

0:22:13.840 --> 0:22:18.280
<v Speaker 1>protein added, sugar and fat in the food. My argument

0:22:18.520 --> 0:22:21.919
<v Speaker 1>is to move away from the calorie per se, but

0:22:22.040 --> 0:22:26.399
<v Speaker 1>actually to consider the quality of the food, and I

0:22:26.440 --> 0:22:29.520
<v Speaker 1>think that is far more important. Now. It happens to

0:22:29.560 --> 0:22:33.119
<v Speaker 1>be related to the calorie, but the calorie is a

0:22:33.160 --> 0:22:37.440
<v Speaker 1>blunt tool in terms of trying to measure the quality

0:22:37.480 --> 0:22:39.280
<v Speaker 1>of a of any given food you're trying to eat.

0:22:40.000 --> 0:22:44.000
<v Speaker 1>When Giles talks about high quality foods, he means those

0:22:44.080 --> 0:22:48.840
<v Speaker 1>that have more protein and fiber, like beans or chicken

0:22:49.800 --> 0:22:54.280
<v Speaker 1>nuts count two. His point is a good one. Calories

0:22:54.280 --> 0:22:58.520
<v Speaker 1>can be deceptive. A can of coca cola and a

0:22:58.600 --> 0:23:04.000
<v Speaker 1>pint of strawberries both have similar numbers of calories, but

0:23:04.119 --> 0:23:10.280
<v Speaker 1>they definitely do not have similar nutritional values. It's easy, though,

0:23:10.359 --> 0:23:14.440
<v Speaker 1>to think that low calorie means healthy. We talk about

0:23:14.440 --> 0:23:18.480
<v Speaker 1>weight loss in the same way too, Like anyone who

0:23:18.520 --> 0:23:21.760
<v Speaker 1>goes on a diet and loses fifteen pounds is going

0:23:21.800 --> 0:23:25.399
<v Speaker 1>to be in better shape. But if I went on

0:23:25.520 --> 0:23:29.240
<v Speaker 1>an all coca cola diet and lost weight, would I

0:23:29.280 --> 0:23:34.359
<v Speaker 1>be healthier? That's why we shouldn't make weight loss equivalent

0:23:34.520 --> 0:23:38.600
<v Speaker 1>with good health. Something will get into leader in the series.

0:23:40.640 --> 0:23:44.600
<v Speaker 1>We also now know that calorie counts on labels don't

0:23:44.640 --> 0:23:48.959
<v Speaker 1>actually tell us how many calories of food has because

0:23:49.119 --> 0:23:52.359
<v Speaker 1>how you prepare food and how you digest it and

0:23:52.440 --> 0:23:56.560
<v Speaker 1>a lot of other things can change the number. And

0:23:56.680 --> 0:24:01.479
<v Speaker 1>yet calories are still being treated as the truth. There

0:24:01.480 --> 0:24:05.280
<v Speaker 1>are labels as fact when they probably need at least

0:24:05.320 --> 0:24:09.480
<v Speaker 1>an asterisk. Diets are being sold to people based on

0:24:09.520 --> 0:24:13.960
<v Speaker 1>the science behind these numbers. That's a global industry worth

0:24:14.040 --> 0:24:18.239
<v Speaker 1>a hundred and ninety two billion dollars a year. And

0:24:18.320 --> 0:24:23.000
<v Speaker 1>people are relying on calories deciding whether they buy or

0:24:23.119 --> 0:24:28.960
<v Speaker 1>eat food because of them. They're meticulously counting them, measuring

0:24:29.000 --> 0:24:33.240
<v Speaker 1>their foods to make sure that no calorie goes unaccounted for.

0:24:36.280 --> 0:24:38.760
<v Speaker 1>The crucial moment for me was when you know, we

0:24:38.840 --> 0:24:42.320
<v Speaker 1>had a holiday event at work and I didn't like

0:24:42.440 --> 0:24:45.199
<v Speaker 1>my photos I didn't like it, and I was like,

0:24:45.320 --> 0:24:48.119
<v Speaker 1>I really have to make change for myself because I

0:24:48.160 --> 0:24:50.879
<v Speaker 1>didn't like the way. You know, I look, this is

0:24:50.960 --> 0:24:55.320
<v Speaker 1>Danny Cologne. She's talking about photos from a Christmas luncheon

0:24:55.480 --> 0:24:58.760
<v Speaker 1>her company through in two thousand and six. I thought

0:24:58.800 --> 0:25:02.119
<v Speaker 1>myself on the thicker side and you know, I have

0:25:02.200 --> 0:25:04.639
<v Speaker 1>my little double chin, and I didn't like it. It

0:25:04.720 --> 0:25:07.480
<v Speaker 1>was just like, I don't like seeing myself like that.

0:25:07.520 --> 0:25:10.239
<v Speaker 1>I had never gotten to that that point before, and

0:25:10.280 --> 0:25:13.159
<v Speaker 1>that was the turning point for me. Deeany says she

0:25:13.280 --> 0:25:17.399
<v Speaker 1>first started battling the scale about twenty years ago after

0:25:17.480 --> 0:25:21.600
<v Speaker 1>having her second child. She's now forty three and a

0:25:21.640 --> 0:25:24.560
<v Speaker 1>mother of five. I was never a big girl, but

0:25:24.760 --> 0:25:26.560
<v Speaker 1>I had gained a little bit and I was always

0:25:26.560 --> 0:25:29.600
<v Speaker 1>trying to lose it, you know what I mean. And

0:25:29.640 --> 0:25:31.919
<v Speaker 1>as when I had my third child, so that was

0:25:31.960 --> 0:25:34.760
<v Speaker 1>a little bit. You know, then it just starts adding

0:25:34.840 --> 0:25:37.840
<v Speaker 1>up and you're trying. But it's you know, as the

0:25:37.840 --> 0:25:40.840
<v Speaker 1>older you get, the harder it is. Plus I was

0:25:41.240 --> 0:25:45.359
<v Speaker 1>a full time employee, plus I was at home. I

0:25:45.400 --> 0:25:47.359
<v Speaker 1>had to a sense to the kids and for me

0:25:47.440 --> 0:25:49.760
<v Speaker 1>to the thought of even having to make two wheels

0:25:50.160 --> 0:25:53.760
<v Speaker 1>as in a diet meal for herself and another meal

0:25:53.960 --> 0:25:57.240
<v Speaker 1>for her family was very very hard on me. So

0:25:57.560 --> 0:25:59.840
<v Speaker 1>it was just something that was always on the back burner.

0:26:00.119 --> 0:26:03.399
<v Speaker 1>At the time, Danny was working as a project coordinator

0:26:03.560 --> 0:26:07.560
<v Speaker 1>in Tampa, Florida. She now lives in Puerto Rico. You

0:26:07.600 --> 0:26:09.600
<v Speaker 1>want to get on this weight lost journey, but there's

0:26:09.680 --> 0:26:13.120
<v Speaker 1>so much out there an aesthetic. I need my carbs,

0:26:14.359 --> 0:26:16.680
<v Speaker 1>so it was very hard to reay, be like, I

0:26:16.720 --> 0:26:19.639
<v Speaker 1>can't just eat need the vegetables, and it's hard to

0:26:19.680 --> 0:26:22.720
<v Speaker 1>cut out a whole book group. So to take out

0:26:22.720 --> 0:26:27.080
<v Speaker 1>that completely, Yeah, that wasn't gonna work for my household.

0:26:28.280 --> 0:26:32.480
<v Speaker 1>Danny tries out a couple of different programs. Some even

0:26:32.640 --> 0:26:36.639
<v Speaker 1>helped her lose weight, but they all had some kind

0:26:36.760 --> 0:26:42.360
<v Speaker 1>of downside. The costs, in particular, were an obstacle for her.

0:26:43.480 --> 0:26:47.840
<v Speaker 1>One program cost five dollars just to sign up. I mean,

0:26:47.840 --> 0:26:50.080
<v Speaker 1>every time you go to a weight loss program, you're

0:26:50.119 --> 0:26:53.159
<v Speaker 1>paying money. And I was like, Okay, maybe I'm ready.

0:26:53.200 --> 0:26:55.640
<v Speaker 1>Now I got the tools that I need, and maybe

0:26:55.720 --> 0:26:58.520
<v Speaker 1>i'll I can do this on my own and I

0:26:58.520 --> 0:27:01.360
<v Speaker 1>don't have to invest in that money. Danny knew from

0:27:01.359 --> 0:27:05.159
<v Speaker 1>her previous experiences with weight loss programs that tracking the

0:27:05.200 --> 0:27:09.919
<v Speaker 1>food she eats really helps, so she starts calorie counting

0:27:10.280 --> 0:27:13.840
<v Speaker 1>with the help of some free online tools. There are

0:27:13.880 --> 0:27:17.240
<v Speaker 1>all these random calculators out there that you can use

0:27:17.400 --> 0:27:21.400
<v Speaker 1>to decide how many calories to eat based on how

0:27:21.480 --> 0:27:25.360
<v Speaker 1>much weight you want to lose. Danny uses one and

0:27:25.520 --> 0:27:30.160
<v Speaker 1>decides she needs to eat less than calories a day.

0:27:30.640 --> 0:27:36.560
<v Speaker 1>This time, the diet starts working almost immediately. She loses

0:27:36.680 --> 0:27:42.200
<v Speaker 1>twelve pounds in twelve weeks. The program is simple, eat

0:27:42.280 --> 0:27:46.400
<v Speaker 1>less and move more. It's free, and Danny can see

0:27:46.480 --> 0:27:50.800
<v Speaker 1>the results. I'm like more of a harder to lose weight.

0:27:50.880 --> 0:27:54.560
<v Speaker 1>Maybe I have a flower metabolism. But once I started

0:27:54.640 --> 0:27:58.440
<v Speaker 1>seeing that my clothes was, you know, sitting a little

0:27:58.440 --> 0:28:01.480
<v Speaker 1>bit more loose, and I started getting on the scale

0:28:02.040 --> 0:28:05.399
<v Speaker 1>and the numbers were going little by little, I was

0:28:05.440 --> 0:28:08.720
<v Speaker 1>like very, very motivated, and to think, oh my gosh,

0:28:08.720 --> 0:28:12.640
<v Speaker 1>I'm being successful was just amazing. So it just makes

0:28:12.680 --> 0:28:16.879
<v Speaker 1>you strive for more. Danny is currently allowing herself about

0:28:16.960 --> 0:28:23.040
<v Speaker 1>twelve hundred calories each day. That's pretty low. A woman

0:28:23.160 --> 0:28:27.960
<v Speaker 1>her age really needs around two thousand calories. But for

0:28:28.080 --> 0:28:32.720
<v Speaker 1>what it's worth, government guidelines say most women can safely

0:28:32.840 --> 0:28:37.800
<v Speaker 1>lose weight eating twelve hundred to fift hundred calories a day.

0:28:38.000 --> 0:28:41.280
<v Speaker 1>Danny uses this app called lose It, which keeps track

0:28:41.360 --> 0:28:44.959
<v Speaker 1>of her calorie budget. If she has a hundred calorie

0:28:45.000 --> 0:28:51.320
<v Speaker 1>cup of plane Cheerios, then she has eleven hundred left easy.

0:28:51.520 --> 0:28:54.480
<v Speaker 1>She also likes the flexibility. The good thing about calor

0:28:54.480 --> 0:28:58.120
<v Speaker 1>a counting is that you're not excluding any food groups

0:28:58.520 --> 0:29:01.680
<v Speaker 1>at all. Like let's say that Danny plans on having

0:29:01.800 --> 0:29:06.080
<v Speaker 1>salmon and potatoes for lunch, but it doesn't end up happening.

0:29:06.760 --> 0:29:10.000
<v Speaker 1>You just stand. You just put in your app. You know, hey,

0:29:10.040 --> 0:29:13.280
<v Speaker 1>I had a pizza, cheese, whatever, and that's it. Other

0:29:13.360 --> 0:29:17.200
<v Speaker 1>diets are more rigid. In other words, that's the good

0:29:17.240 --> 0:29:19.160
<v Speaker 1>thing about it is like people don't have to over

0:29:19.240 --> 0:29:23.480
<v Speaker 1>stress on oh my god, I've failed because I had

0:29:23.520 --> 0:29:26.600
<v Speaker 1>a slice of pizza. You can have your slice of pizza,

0:29:27.200 --> 0:29:30.400
<v Speaker 1>just you know that you wake this much amount of

0:29:30.440 --> 0:29:33.640
<v Speaker 1>kellys on that pizza, so have a smaller amount for

0:29:33.720 --> 0:29:40.240
<v Speaker 1>your dinner. Danny loses weight calorie counting until she doesn't.

0:29:41.280 --> 0:29:46.080
<v Speaker 1>It's hard to keep it up. Life happens. Her mom

0:29:46.160 --> 0:29:49.680
<v Speaker 1>gets sick and Danny travels to see her in the hospital,

0:29:50.600 --> 0:29:54.400
<v Speaker 1>where she's stressed and sad, and there's a lot of

0:29:54.520 --> 0:29:58.120
<v Speaker 1>fast food. One time, I want to be donald thinking, Okay,

0:29:58.160 --> 0:30:00.640
<v Speaker 1>what's the healthiest thing on the menu, And I thought, oh,

0:30:00.760 --> 0:30:04.920
<v Speaker 1>chicken nuggets. That's what I thought. Chicken nugget, chicken nuggets

0:30:04.920 --> 0:30:08.040
<v Speaker 1>of fries and you know so of diet soa, and

0:30:08.160 --> 0:30:11.640
<v Speaker 1>I thought that was the healthiest staying on the menu

0:30:11.800 --> 0:30:13.640
<v Speaker 1>at the moment because I'm looking at Okay, it's not

0:30:13.760 --> 0:30:16.640
<v Speaker 1>for it, it's not a burger. Let me just seek

0:30:16.640 --> 0:30:20.080
<v Speaker 1>a couple of nuggets. No, it was like a thousand

0:30:20.120 --> 0:30:25.560
<v Speaker 1>four until it. I was like most people have this experience.

0:30:26.440 --> 0:30:31.800
<v Speaker 1>Losing weight works until it doesn't. Several studies have shown

0:30:32.000 --> 0:30:36.760
<v Speaker 1>that many dieters will regain most or even all of

0:30:36.800 --> 0:30:42.200
<v Speaker 1>their lost weight. In some cases, they'll even gain more weight.

0:30:44.080 --> 0:30:48.640
<v Speaker 1>Between her mom's health issues and travel, Danie isn't calorie

0:30:48.640 --> 0:30:52.320
<v Speaker 1>counting as much. She ends up gaining back the weight

0:30:52.480 --> 0:30:57.240
<v Speaker 1>she lost. But Deanie is trying to calorie count again

0:30:57.960 --> 0:31:01.120
<v Speaker 1>and it's still a big fan of the approach. She

0:31:01.240 --> 0:31:04.800
<v Speaker 1>helps manage a Facebook group We're about twenty three thousand

0:31:04.880 --> 0:31:09.440
<v Speaker 1>people gathered to ask questions and trade tips. When her

0:31:09.520 --> 0:31:13.760
<v Speaker 1>daughter gained some weight, after having her first child, Danny

0:31:13.920 --> 0:31:18.880
<v Speaker 1>recommended calorie counting. Her daughter lost nearly twenty pounds in

0:31:18.920 --> 0:31:23.000
<v Speaker 1>a few months. When we talk, Danny runs me through

0:31:23.240 --> 0:31:28.040
<v Speaker 1>the caloric value of precisely everything she has eaten that day.

0:31:28.600 --> 0:31:31.360
<v Speaker 1>So today I haven't had lunch yet, so but this

0:31:31.480 --> 0:31:35.400
<v Speaker 1>morning I did have coffee. I had a Starbucks pumpkin

0:31:35.480 --> 0:31:39.520
<v Speaker 1>pie creamer and that was for a two hours. It's

0:31:39.520 --> 0:31:41.479
<v Speaker 1>a lot, but I'm gonna invite it a little bit,

0:31:41.480 --> 0:31:44.240
<v Speaker 1>a little. And then I had the rest was in coffee,

0:31:44.640 --> 0:31:48.680
<v Speaker 1>So coffee zero calories. So just on my coffee alone,

0:31:48.680 --> 0:31:52.440
<v Speaker 1>I had a hundred because of the creamer. It's mostly

0:31:52.480 --> 0:31:55.040
<v Speaker 1>the coin, it's all there. And then I had a

0:31:55.040 --> 0:31:58.120
<v Speaker 1>little bit stody like a little cookie study and that

0:31:58.240 --> 0:32:00.680
<v Speaker 1>set that was a hundred and thirty cows, So I

0:32:00.760 --> 0:32:04.480
<v Speaker 1>just counted a hundred dark We're on a zoom call

0:32:04.680 --> 0:32:07.560
<v Speaker 1>so I can actually see Danny's app and then right

0:32:07.600 --> 0:32:10.560
<v Speaker 1>here on the very top it shows it shows you

0:32:11.040 --> 0:32:15.240
<v Speaker 1>my actual budget and what I had, and it's subtracted.

0:32:15.640 --> 0:32:17.040
<v Speaker 1>So for the rest of the day, I have nine.

0:32:20.360 --> 0:32:22.960
<v Speaker 1>I asked Danny about the studies that have found calori

0:32:22.960 --> 0:32:27.440
<v Speaker 1>accounts may not be so accurate she doesn't seem too concerned.

0:32:28.400 --> 0:32:32.120
<v Speaker 1>Even if the numbers aren't exactly right. The scale tells

0:32:32.160 --> 0:32:35.400
<v Speaker 1>the truth at the end of the day. She also

0:32:35.440 --> 0:32:38.800
<v Speaker 1>tells me that since her mother's illness and all that travel,

0:32:39.640 --> 0:32:42.640
<v Speaker 1>she hasn't been as consistent with calorie counting as she

0:32:42.680 --> 0:32:45.960
<v Speaker 1>would like. She's a little mad at herself about it,

0:32:46.920 --> 0:32:49.880
<v Speaker 1>but she's more resolute than ever to stick to her

0:32:49.920 --> 0:32:53.760
<v Speaker 1>calorie goals and to lose more weight. I started getting

0:32:53.760 --> 0:32:56.479
<v Speaker 1>back on track, but then there was days work, So

0:32:56.520 --> 0:32:59.240
<v Speaker 1>I would track for about a week consistently, and then

0:32:59.280 --> 0:33:03.120
<v Speaker 1>mess up and then just and then try again, and

0:33:03.160 --> 0:33:05.440
<v Speaker 1>then just mess up and then try again. It's just

0:33:05.640 --> 0:33:09.600
<v Speaker 1>it's that since that point over, um, it's kind of

0:33:09.840 --> 0:33:12.800
<v Speaker 1>really hard for me to like consistently keep it up.

0:33:13.080 --> 0:33:16.120
<v Speaker 1>And the stakes are higher now. I just found out

0:33:16.200 --> 0:33:20.800
<v Speaker 1>that I have diabetes and it's in the starting stages

0:33:21.520 --> 0:33:25.240
<v Speaker 1>and high clipso and so I'm I've really started taking

0:33:25.240 --> 0:33:28.760
<v Speaker 1>the seriously. To me, it felt like Danny had been

0:33:28.880 --> 0:33:34.200
<v Speaker 1>misled by calories and weight loss in general. She'd used

0:33:34.200 --> 0:33:39.200
<v Speaker 1>calorie counting to lose twelve pounds several years ago, but

0:33:39.280 --> 0:33:42.640
<v Speaker 1>it hadn't been working very well for her since she

0:33:42.760 --> 0:33:47.160
<v Speaker 1>called calorie counting flexible, but it didn't really seem to

0:33:47.160 --> 0:33:52.440
<v Speaker 1>accommodate her actual life. Again, She's trying to eat twelve

0:33:52.640 --> 0:33:58.240
<v Speaker 1>dred calories a day, which is very restrictive. Danny likes

0:33:58.280 --> 0:34:01.840
<v Speaker 1>the precision that calorie counting seems to offer, but a

0:34:01.960 --> 0:34:06.000
<v Speaker 1>very precise method that's hard to stick to isn't very

0:34:06.040 --> 0:34:08.840
<v Speaker 1>precise at the end of the day. And Danny didn't

0:34:08.880 --> 0:34:13.280
<v Speaker 1>blame the system or even calories for the problems she'd had.

0:34:14.320 --> 0:34:19.399
<v Speaker 1>She blamed herself. So I'm thinking to myself, I really

0:34:19.400 --> 0:34:22.560
<v Speaker 1>have to start when I'm supposed to lose the weight,

0:34:22.840 --> 0:34:28.120
<v Speaker 1>to start feeling better and manage my health as best psyche.

0:34:28.880 --> 0:34:30.600
<v Speaker 1>And I know a lot of it has to do

0:34:30.680 --> 0:34:33.600
<v Speaker 1>with my insects. I'm not eating the white things. I'm

0:34:33.600 --> 0:34:41.480
<v Speaker 1>not want to feel good. Danny's story isn't unique. It

0:34:41.560 --> 0:34:45.600
<v Speaker 1>isn't even a modern story. Really, people have been marketing

0:34:45.880 --> 0:34:50.000
<v Speaker 1>super restrictive and even silly weight loss plans for a

0:34:50.040 --> 0:34:52.880
<v Speaker 1>long time. I mean that the classic story is that

0:34:53.200 --> 0:34:55.719
<v Speaker 1>until the late nineteenth century, if you were a little

0:34:55.719 --> 0:34:58.640
<v Speaker 1>bit plump, it was probably a sign a that you

0:34:58.680 --> 0:35:01.200
<v Speaker 1>were healthy because you had an of to eat and

0:35:01.320 --> 0:35:04.120
<v Speaker 1>be you were successful because you had enough to eat,

0:35:04.560 --> 0:35:06.880
<v Speaker 1>and that just begins to drop off and the fashion

0:35:06.960 --> 0:35:13.240
<v Speaker 1>begins to emphasize slenderness. Dieting in the truly modern sense

0:35:13.560 --> 0:35:17.600
<v Speaker 1>didn't take off until the nineteenth century or around the

0:35:17.600 --> 0:35:21.520
<v Speaker 1>time of the Industrial Revolution, and the real start of

0:35:21.600 --> 0:35:27.320
<v Speaker 1>diet history begins even further back than that. From chewing

0:35:27.320 --> 0:35:31.400
<v Speaker 1>your food a jillion times like Nancy Reagan to Keto

0:35:31.640 --> 0:35:34.759
<v Speaker 1>and scamm me weight loss pills, It turns out that

0:35:34.880 --> 0:35:40.120
<v Speaker 1>diet history definitely repeats itself. So Janette says that after

0:35:40.160 --> 0:35:43.120
<v Speaker 1>taking apple side of vinegar she felt less blown because

0:35:43.280 --> 0:35:45.560
<v Speaker 1>before and after on her and Michelle says she saw

0:35:45.560 --> 0:35:49.800
<v Speaker 1>a major improvement in her energy throughout the day. Fun fact,

0:35:50.520 --> 0:35:54.200
<v Speaker 1>the poet Lord Byron was super into vinegar as a

0:35:54.200 --> 0:35:58.640
<v Speaker 1>weight loss strategy too. Next time, on Losing It, we

0:35:58.719 --> 0:36:02.759
<v Speaker 1>take a trip back into time through diet history. First

0:36:02.800 --> 0:36:07.799
<v Speaker 1>stop Renaissance Italy. My physicians declared there was but one

0:36:07.920 --> 0:36:12.040
<v Speaker 1>remedy left for my eels. That remedy was the temperate

0:36:12.160 --> 0:36:17.719
<v Speaker 1>and orderly life. Losing It is written and reported by

0:36:17.800 --> 0:36:22.760
<v Speaker 1>me Emma Court and edited by Kristin V. Brown. Magnus

0:36:22.800 --> 0:36:27.440
<v Speaker 1>Hendrickson is our senior producer Stacy Wong our associate producer,

0:36:27.800 --> 0:36:31.880
<v Speaker 1>and Blake Maples is our audio engineer. Our theme was

0:36:31.960 --> 0:36:36.640
<v Speaker 1>composed and performed by Hannis Brown thanks to Francesco Leavie

0:36:36.840 --> 0:36:40.560
<v Speaker 1>and Tim Anette. Be sure to subscribe to Prognosis if

0:36:40.560 --> 0:36:44.080
<v Speaker 1>you haven't already, and if you like our show, please

0:36:44.239 --> 0:36:47.879
<v Speaker 1>leave us a review that helps others find out about it.

0:36:48.840 --> 0:36:51.120
<v Speaker 1>Thanks for listening, See you next time.