WEBVTT

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Welcome to the deep dive. Whether you are prepping

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for a massive meeting or cashing up on data analysis,

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or you're just insanely curious about how the

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world works, we are thrilled to have you here,

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the learner. Yeah, it's great to be here. So

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today, our mission is to permanently upgrade

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how you read statistics, news headlines, and

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just everyday data. We're looking at some incredibly

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detailed source material today, mainly technical

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articles and mathematical definitions that break

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down this concept of relative change. Which sounds

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simple but really isn't. Exactly. We are going

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to expose the invisible mechanics and honestly

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the hidden traps of relative versus absolute

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change. It is a perfect topic because There's

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this inherent assumption we all make about basic

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math, right? We expect it to represent absolute

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rock -solid reality, like, you know, counting

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stones. Right. Two stones are obviously more

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than one. Exactly. You add, you subtract, and

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the math just objectively works. We like our

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numbers to tell us exactly what is happening

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in the physical world without any ambiguity.

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But the sources reveal that, well, the moment

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you step into the world of comparing two numbers,

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that solid ground just completely crumbles beneath

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your feet. I mean... We're looking at a mathematical

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landscape that is honestly riddled with illusions.

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It really is the definition of numerical muddy

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waters. The standard formula we use every single

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day to compare numbers. I mean, percentages.

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It's remarkably fragile. Oh, yeah. It breaks

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down entirely under certain conditions to the

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point where scientists and mathematicians have

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had to engineer completely different systems.

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like logarithmic points just to make reality

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make sense. Wow. But before we explore how the

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math shatters, we kind of have to establish why

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we even use relative change in the first place

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rather than just subtracting one number from

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another. Right. Let's ground this for a second.

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So if I have five apples and you have three,

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I have two more apples than you. That is absolute

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change, just simple subtraction. My value minus

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the reference value. Yes. That is the actual

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difference. or the absolute difference. But absolute

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difference has a fatal flaw when we try to use

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it to understand the world. It is entirely dependent

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on the arbitrary units of measurement you happen

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to choose. OK, what do you mean by that? Well,

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that unit choice heavily distorts human perception.

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Think about measuring physical distance, right?

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If you compare a two meter length of rope to

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a one meter length of rope, the absolute difference

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is exactly one. Makes sense. One meter. Right.

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But if you measure that exact same rope in centimeters,

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you are now comparing 200 centimeters to 100

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centimeters. The absolute difference is now 100.

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Oh, I see. And to the human brain, that latter

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comparison, it feels subjectively bigger. Like,

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it feels like a much more significant difference,

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even though it describes the exact same physical

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reality. It gives the impression of a larger

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gap simply because we change the word at the

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end of the number. Exactly. We see this in daily

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life all the time, actually. Imagine you're buying

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a simple everyday item, like a $5 cup of coffee.

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If the cafe suddenly raises the price by an absolute

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difference of $100, so now you're paying $105

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for a standard latte. There would be riots in

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the streets. Right. complete chaos. But if you're

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buying a $10 ,000 used car and the dealer tax

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on an absolute difference of $100 for, I don't

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know, some premium floor mats, raising the total

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to $10 ,100... you probably wouldn't even blink.

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You wouldn't even notice it. Exactly. The absolute

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change is mathematically identical in both scenarios.

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It's $100. But it doesn't tell us anything about

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the severity of the event. That is a brilliant

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illustration. And this is exactly why mathematicians

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introduced relative change. To find the relative

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change, you take that actual change, the $100,

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and you divide it by your reference value. Okay,

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so going back to the coffee. Right, so going

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from a $5 coffee to $105 coffee, the change is

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100 divided by the reference of 5 giving you

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20. That is a 2000 % increase. Which explains

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the riots. Exactly. But with the car, the change

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of 100 divided by the reference of 10 ,000 is

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0 .01, a mere 1 % increase. And the beauty of

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that calculation is that relative change is perfectly

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unit -less. It strips away whether we are talking

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about dollars or centimeters or meters, and just

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gives us the pure proportional impact. It does.

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But... Relative change introduces its own psychological

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quirks. Well, of course it does. Yeah, specifically

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based on what you choose to put at the bottom

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of that fraction as your reference value. The

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source material highlights this classic scenario

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we can call the valuable assets example. Imagine

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two cars on a lot. Car M costs $50 ,000. Car

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L costs $40 ,000. Okay, so let's compare them.

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If we use the cheaper car, Car L, as our baseline

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reference value, the absolute difference is $10

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,000. We divide that by the $40 ,000 reference,

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which gives us 0 .25. Got it. Therefore, Car

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M costs 25 % more than Car L. Or, you know, phrase

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differently. It is 125 % of the cost of Car L.

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But the narrative completely flips if we change

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our anchor, doesn't it? Like, what if we choose

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the more expensive car, car M, as our baseline

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reference? Then the absolute difference is still

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$10 ,000. But now we divide it by the new reference

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value of $50 ,000. 10 ,000 divided by 50 ,000

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is 0 .20. Wow. So now, car L costs 20 % less

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than car M, or it is 80 % of the cost. Exactly.

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The math is completely accurate in both statements,

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but the story it tells changes drastically depending

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on where you plant your flag. And marketers absolutely

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exploit this on purpose. I mean, if a salesperson

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is trying to upsell you to the luxury model,

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they are going to say for just 20 percent less

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than the premium model, you can get the standard

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one. Yeah, they definitely won't say the premium

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model is 25 percent more expensive. Right. They

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deliberately choose the reference value that

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outputs the smaller percentage because 20 percent

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feels like a smaller gap to bridge. They're basically

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reverse engineering the math to make their sales

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pitch sound more persuasive to the human brain.

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The narrative is entirely shaped by whatever

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number we subtly place in the denominator, but

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the confusion gets infinitely worse when the

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thing we are measuring is already a percentage.

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Oh, this leads to one of the most common statistical

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errors people make in everyday life, especially

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in finance and the news. The sources call this

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the percentages of percentages trap. It happens

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constantly. Let's say you have a savings account,

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right? Yeah. and the bank raises your interest

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rate from 3 % up to 4%. If a journalist reporting

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on this says the interest rate increased by 1%,

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they are making a highly misleading, factually

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incorrect statement. Because 4 minus 3 is 1.

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That's the absolute change. But we're dealing

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with a rate here. Right. It's like comparing

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the speed of a car with its acceleration. Like,

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they sound like they belong to the same category,

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but they measure entirely different dimensions

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of reality. I like that. Yeah. Speed is your

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current state, say. 60 miles per hour. Acceleration

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is the change in that state. If you confuse your

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current speed with your rate of acceleration,

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you're going to completely misunderstand the

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physics of your road trip. That is exactly the

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dynamic at play. The crucial distinction you

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have to make is between percent and percentage

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points. Percentage points. Yes. The raw subtraction

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of 4 minus 3 is one percentage point. But if

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we want the true relative change, we have to

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use the formula. OK, walk me through it. The

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actual change is 1. The reference value where

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we started is 3. 1 divided by 3 is 0 .333. So

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the relative change is actually a 33 .3 % increase.

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Wow. Saying your rate went up by 1 % implies

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a tiny, almost negligible bump. But saying your

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rate increased by 33 .3 % sounds massive. Exactly.

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And yet the 33 .3 % figure is the mathematically

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honest description of the relative change. Precision

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with these terms really dictates how we interpret

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massive systemic changes in our economy, like

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inflation or mortgage rates. If you just subtracted

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two percentages, you must say percentage points.

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If you divided them to find the proportion, use

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the percent sign. OK, so we see how this math

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can be manipulated by a car salesman or misunderstood

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in a bank lobby. But surely the hard sciences,

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you know, where precision is a matter of life

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and death, they must have figured out a way around

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this ambiguity. Well, in the scientific community,

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this concept is formalized as percent error.

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This happens when you are testing a physical

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measurement against a theoretically accepted

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actual value. The formula is the absolute change

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between your experimental measured value and

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the theoretical value divided by that theoretical

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value. But there is a fascinating debate in the

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literature about how to handle the output of

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that formula, specifically regarding absolute

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value brackets. Yes. Usually when calculating

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percent error, engineers put absolute value brackets

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around the top part of the fraction. This forces

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the resulting percentage to always be positive.

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You just say, I had a 5 % error. regardless of

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whether your measurement was too high or too

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low. So we're basically intentionally putting

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blinders on. We're saying, I don't care if I

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overshot or undershot the target, I just want

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to know how far the arrow landed from the bullseye.

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And that makes sense for a factory floor, you

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know. In basic quality control context, the direction

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of the error often doesn't dictate the next step.

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Any error beyond a certain threshold just means

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you throw the part away. Right. But the source

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text discusses the strategic choice in advanced

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fields to purposely drop those absolute value

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brackets. If you drop them, the sign of the number

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positive or negative suddenly provides critical

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directional context. I was completely blown away

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by the speed of light example in the research.

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Because it shows how dropping those brackets

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changes everything. Like if you are in a physics

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lab calculating the speed of light and you just

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let the formula run with the negative sign. If

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your calculation yields a negative percent error,

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it simply means your measured velocity was less

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than the accepted speed of light. You're a little

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slow, no big deal, just a normal day in the lab.

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Right, but a positive percent error means your

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experimental number was bigger than the theoretical

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number. A positive percent error means you have

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just measured something moving faster than the

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speed of light. You have just violated Albert

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Einstein's theory of relativity. That is not

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just a rounding error on a spreadsheet. That

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is a massively newsworthy Nobel Prize -winning

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result. In theoretical physics, retaining that

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negative sign is paramount. The formula clearly

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works well when we use it carefully and understand

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the context, but we teased at the very beginning

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of this deep dive that this elegant formula harbors

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a dark side. It really does. There are places

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on the number line where the standard formula

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for relative change completely self -destructs.

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The flaw is built right into the architecture

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of the formula. To find relative change, you

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must divide by the reference value. So we immediately

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run into a fundamental mathematical domain restriction.

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What happens if your reference value is exactly

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zero? You can't divide by zero. It's a mathematical

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black hole. If a startup company made zero dollars

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last year and one million dollars this year,

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you literally cannot calculate a percentage increase.

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It is mathematically undefined. But it actually

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gets stranger than zero. What happens when your

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reference value is a negative number? The classical

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formula literally breaks. Let's walk through

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a temperature reading, or perhaps a financial

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deficit. Let's say your reading starts at minus

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10. That is your reference value. Negative 10.

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Then the reading goes up to minus 6. OK, so from

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negative 10 to negative 6, the absolute change

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is an increase of positive 4. Like, I am getting

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warmer, or I am climbing out of debt. Exactly.

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Now, plug that into the relative change formula.

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Your actual change, which is positive 4, divided

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by the reference value, which is negative 10.

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OK, 4 divided by negative 10. That gives us negative

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0 .4. which translates to a negative 40%. Wait,

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the temperature physically went up by four units?

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Yep. But the relative change formula spits out

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a negative percentage, actively telling us we're

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getting colder when we are physically getting

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warmer. The math is straight up lying to us.

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It is entirely broken for negative reference

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values. And because the classical formula lies

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to us with zeros and negatives, mathematicians

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have had to engineer specialized patches. They've

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created alternative formulas called indicators

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of relative change. But how do you even patch

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a broken formula? You fix the denominator. Instead

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of just dividing blindly by the initial reference

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value, which we'll call x, Mathematicians divide

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by a function of both values involved, x and

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y. They replace the denominator with a mean,

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an average of sorts, between the starting and

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ending points. Like the arithmetic mean, just

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adding the two numbers and dividing by two. Yes,

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the arithmetic mean is one option, but there

00:13:03.090 --> 00:13:05.730
are others, like the geometric mean, which multiplies

00:13:05.730 --> 00:13:08.110
the numbers and takes the root, or the harmonic

00:13:08.110 --> 00:13:11.049
mean. The text actually highlights some highly

00:13:11.049 --> 00:13:14.009
specific use cases, where fields choose a different

00:13:14.009 --> 00:13:16.210
denominator to protect their work. Like what?

00:13:16.299 --> 00:13:19.279
Take computer science. When a programmer is writing

00:13:19.279 --> 00:13:22.399
code that compares two floating point numbers,

00:13:22.659 --> 00:13:25.059
essentially numbers, with decimals that can get

00:13:25.059 --> 00:13:27.299
infinitely tiny, they have to be very careful.

00:13:27.519 --> 00:13:29.379
Because if one of those numbers is incredibly

00:13:29.379 --> 00:13:32.519
close to zero, dividing by it could cause a division

00:13:32.519 --> 00:13:35.440
by zero error or an overflow, which literally

00:13:35.440 --> 00:13:37.960
crashes the software. Exactly. So the recommended

00:13:37.960 --> 00:13:40.159
patch is the maximum mean. You always divide

00:13:40.159 --> 00:13:42.580
by whichever of the two numbers is larger, creating

00:13:42.580 --> 00:13:44.659
a safe, stable anchor that prevents the program

00:13:44.659 --> 00:13:47.340
from imploding. Okay, and what about econometrics?

00:13:47.840 --> 00:13:50.100
The sources mention they do the exact opposite.

00:13:50.799 --> 00:13:53.019
Econometrics often recommends the minimum mean

00:13:53.019 --> 00:13:55.879
change, using the smaller of the two numbers

00:13:55.879 --> 00:13:59.000
as the denominator. Economists often deal with

00:13:59.000 --> 00:14:02.799
growth from a small base. By intentionally dividing

00:14:02.799 --> 00:14:05.860
by the smaller number, it yields a larger percentage

00:14:05.860 --> 00:14:09.000
change, which establishes the maximum possible

00:14:09.000 --> 00:14:11.539
bounds of a change, setting a strict upper limit

00:14:11.539 --> 00:14:13.929
on volatility. Honestly, I have to push back

00:14:13.929 --> 00:14:16.330
on this entire concept because arguing that we

00:14:16.330 --> 00:14:18.289
should just change the denominator based on the

00:14:18.289 --> 00:14:20.990
field you're in, like econometrics versus programming,

00:14:21.710 --> 00:14:23.929
it feels a little bit like cheating. It does

00:14:23.929 --> 00:14:25.830
sound like that, yeah. It feels like we are just

00:14:25.830 --> 00:14:28.029
engineering a number that behaves nicely for

00:14:28.029 --> 00:14:31.669
our specific spreadsheet. Is there a true relative

00:14:31.669 --> 00:14:34.330
change or is it all just human invention? That

00:14:34.330 --> 00:14:36.960
is a fair critique. But mathematicians aren't

00:14:36.960 --> 00:14:39.500
just doing this to cheat. They're trying to introduce

00:14:39.500 --> 00:14:42.200
a vital property called symmetry. Symmetry. Yes.

00:14:42.539 --> 00:14:44.340
Let's look at classical relative change again.

00:14:44.440 --> 00:14:47.000
Say you start at 40 and go to 50. The increase

00:14:47.000 --> 00:14:50.399
is 10. 10 divided by 40 is a 25 % increase. Now

00:14:50.399 --> 00:14:54.379
go backward. Start at 50 and drop to 40. The

00:14:54.379 --> 00:14:58.220
decrease is 10. 10 divided by 50 is a 20 % decrease.

00:14:58.259 --> 00:15:01.120
OK. The physical distance is identical. 10 units.

00:15:01.320 --> 00:15:04.440
Yeah. But the percentages don't match. 25 versus

00:15:04.440 --> 00:15:07.070
20. They are completely asymmetrical. But look

00:15:07.070 --> 00:15:09.269
what happens if you use a mean in the denominator.

00:15:10.149 --> 00:15:12.409
Let's use the arithmetic mean. The average of

00:15:12.409 --> 00:15:16.440
40 and 50 is 45. Now going up 10 divided by 45

00:15:16.440 --> 00:15:20.080
is roughly 22 .2 percent. Okay. And going down

00:15:20.080 --> 00:15:22.679
negative 10 divided by 45 is roughly negative

00:15:22.679 --> 00:15:26.139
22 .2 percent. Oh wow! The relative change from

00:15:26.139 --> 00:15:29.419
X to Y has the exact same magnitude as the change

00:15:29.419 --> 00:15:32.559
from Y to X. The mirror is perfect. It creates

00:15:32.559 --> 00:15:35.019
a perfectly symmetrical mathematical reflection.

00:15:35.480 --> 00:15:37.980
But to answer your question about whether it's

00:15:37.980 --> 00:15:39.720
cheating, many mathematicians actually agree

00:15:39.720 --> 00:15:42.340
with you. These mean -based indicators are just

00:15:42.340 --> 00:15:44.740
situational patches. They're workarounds. They

00:15:44.740 --> 00:15:47.240
aren't the ultimate cure. So what is the actual

00:15:47.240 --> 00:15:49.860
cure? The source material points to a mathematically

00:15:49.860 --> 00:15:52.740
superior general purpose replacement that solves

00:15:52.740 --> 00:15:55.639
almost all of these problems. It's called logarithmic

00:15:55.639 --> 00:15:58.620
change. Logarithmic change. So instead of using

00:15:58.620 --> 00:16:01.200
simple division, you take the natural logarithm

00:16:01.200 --> 00:16:04.120
of the ratio of the two numbers. But what does

00:16:04.120 --> 00:16:06.100
that actually look like for someone trying to

00:16:06.100 --> 00:16:08.679
picture this mentally? Think of a standard ruler.

00:16:09.720 --> 00:16:12.440
Classical percentages treat every jump like a

00:16:12.440 --> 00:16:15.320
fixed inch on that ruler. But because the starting

00:16:15.320 --> 00:16:18.539
point keeps changing, the inches warp and stretch,

00:16:18.879 --> 00:16:22.320
which is why 25 % up doesn't equal 20 % down.

00:16:22.480 --> 00:16:24.799
Right. That makes sense. A logarithmic function

00:16:24.799 --> 00:16:27.799
stops looking at the flat distance. Instead,

00:16:28.200 --> 00:16:30.980
it measures the proportional steps. It asks,

00:16:31.419 --> 00:16:34.460
what is the fundamental ratio of change? And

00:16:34.460 --> 00:16:36.679
translates that into a smooth, continuous curve.

00:16:37.139 --> 00:16:39.639
So instead of taking a clunky percentage of whatever

00:16:39.639 --> 00:16:41.879
arbitrary number you happen to be standing on,

00:16:42.240 --> 00:16:44.480
log points measure the actual continuous momentum

00:16:44.480 --> 00:16:46.340
of the change. And when you scale this mathematical

00:16:46.340 --> 00:16:49.019
output by 100, the resulting units are called

00:16:49.019 --> 00:16:51.600
log points. You might also see them called centi

00:16:51.600 --> 00:16:54.519
-napers in the literature. Centi meaning 100th

00:16:54.519 --> 00:16:57.159
and never named after John Napier, the mathematician

00:16:57.159 --> 00:16:59.779
who invented logarithms. It's a fantastic unit

00:16:59.779 --> 00:17:03.299
because for small changes, log points mirror

00:17:03.299 --> 00:17:06.319
our classical percentages perfectly. An increase

00:17:06.319 --> 00:17:09.380
of 1 % in classical math is roughly an increase

00:17:09.380 --> 00:17:14.119
of 0 .95 log points. They look practically identical

00:17:14.119 --> 00:17:16.359
to the naked eye. But they possess a superpower

00:17:16.359 --> 00:17:19.150
that classical percentages completely lack. which

00:17:19.150 --> 00:17:22.589
is additivity. Let's walk through the ultimate

00:17:22.589 --> 00:17:25.950
trap of classical percentages. Imagine you invest

00:17:25.950 --> 00:17:29.990
$100. The market goes up and you see a 50 % increase.

00:17:30.369 --> 00:17:34.430
Okay, 50 % of $100 is $50. I now have $150. I'm

00:17:34.430 --> 00:17:36.990
feeling great. But the next day the market crashes

00:17:36.990 --> 00:17:40.400
and you suffer a 50 % decrease. Well... 50 %

00:17:40.400 --> 00:17:44.240
of my current $150 is $75. So I subtract $75.

00:17:44.279 --> 00:17:47.180
I am left with $75. Wait. See the problem? Yeah,

00:17:47.240 --> 00:17:50.039
I went up 50 % and down 50%. I should be back

00:17:50.039 --> 00:17:52.640
exactly where I started at $100. But I'm down

00:17:52.640 --> 00:17:57.380
$25. Plus 50 % and minus 50 % leaves you at negative

00:17:57.380 --> 00:18:00.519
25 % of your starting point. Classical percentages

00:18:00.519 --> 00:18:02.720
do not add up to zero. They compound their errors.

00:18:02.880 --> 00:18:05.619
That's crazy. But here is the magic of logarithmic

00:18:05.619 --> 00:18:09.079
change. A 50 log point increase followed by a

00:18:09.079 --> 00:18:12.279
50 log point decrease leaves you exactly at zero.

00:18:12.420 --> 00:18:15.410
It perfectly sums up. It's like classical percentages

00:18:15.410 --> 00:18:18.109
are playing a bad game of telephone, like every

00:18:18.109 --> 00:18:20.250
time you make a change up or down, the errors

00:18:20.250 --> 00:18:22.309
compound and you drift further and further from

00:18:22.309 --> 00:18:26.730
reality. But log points are like a perfect, incorruptible

00:18:26.730 --> 00:18:30.390
financial ledger. Every single transaction balances

00:18:30.390 --> 00:18:32.730
out flawlessly no matter how many times the market

00:18:32.730 --> 00:18:35.470
bounces up and down. Mathematically speaking,

00:18:35.890 --> 00:18:38.170
log change is the unique two variable function

00:18:38.170 --> 00:18:40.289
that perfectly balances a ledger every single

00:18:40.289 --> 00:18:43.099
time, meaning it's perfectly additive. while

00:18:43.099 --> 00:18:45.380
still mapping smoothly onto our intuitive human

00:18:45.380 --> 00:18:47.039
understanding of what a percentage should look

00:18:47.039 --> 00:18:50.039
like for small, everyday numbers. It is mathematically

00:18:50.039 --> 00:18:52.519
flawless in ways that percentages simply aren't.

00:18:52.680 --> 00:18:55.200
Okay, let's recap this journey we've just been

00:18:55.200 --> 00:18:57.920
on. We started by realizing how simply changing

00:18:57.920 --> 00:19:00.660
a reference value can manipulate the perceived

00:19:00.660 --> 00:19:03.119
price of a car to make a sales pitch sound better.

00:19:03.369 --> 00:19:05.970
We discovered the vocabulary trap of percentage

00:19:05.970 --> 00:19:07.869
points, and while your bank rate didn't go up

00:19:07.869 --> 00:19:12.289
1%, it went up 33 .3%. Right. We saw how classical

00:19:12.289 --> 00:19:14.990
math actively breaks down and lies to us when

00:19:14.990 --> 00:19:17.430
we dip into negative numbers. We looked at how

00:19:17.430 --> 00:19:19.769
computer scientists and economists patch the

00:19:19.769 --> 00:19:23.390
formula. And finally, we discovered the flawless

00:19:23.390 --> 00:19:27.509
balancing ledger of log points. I'd say you are

00:19:27.509 --> 00:19:29.309
now officially equipped to see right through

00:19:29.309 --> 00:19:31.569
the mathematical illusions hiding in everyday

00:19:31.569 --> 00:19:34.099
statistics. But I want to leave you with a final

00:19:34.099 --> 00:19:36.980
lingering thought, directly inspired by the conclusions

00:19:36.980 --> 00:19:39.660
in our source text. The authors explicitly note

00:19:39.660 --> 00:19:41.579
that despite log points being mathematically

00:19:41.579 --> 00:19:44.460
superior, perfectly additive, and highly recommended

00:19:44.460 --> 00:19:47.160
by statisticians, they have not seen widespread

00:19:47.160 --> 00:19:49.980
use. Almost no one outside of highly specific

00:19:49.980 --> 00:19:52.680
technical fields uses them. Which is wild considering

00:19:52.680 --> 00:19:54.920
they fix the exact math we all use every single

00:19:54.920 --> 00:19:59.089
day. Why is that? What is it about human psychology

00:19:59.089 --> 00:20:02.230
or perhaps the ingrained structures of our financial

00:20:02.230 --> 00:20:05.930
and media institutions that makes us cling to

00:20:05.930 --> 00:20:09.779
the flawed asymmetrical classical percentage,

00:20:10.119 --> 00:20:12.480
even when a perfect mathematical alternative

00:20:12.480 --> 00:20:14.200
is sitting right in front of us. Well, think

00:20:14.200 --> 00:20:16.920
about the stock market example we just did. Because

00:20:16.920 --> 00:20:19.380
classical percentages are asymmetrical, they

00:20:19.380 --> 00:20:22.339
allow financial institutions to mask volatility.

00:20:22.859 --> 00:20:25.759
If a stock drops 50 percent, it needs a massive

00:20:25.759 --> 00:20:28.680
100 percent gain just to recover to where it

00:20:28.680 --> 00:20:31.240
started. But a broker can simply tell their clients,

00:20:31.619 --> 00:20:34.220
we're up 75 percent this year. after a massive

00:20:34.220 --> 00:20:36.319
crash and it sounds fantastic even though the

00:20:36.319 --> 00:20:39.180
client is technically still underwater. We choose

00:20:39.180 --> 00:20:41.619
the broken math because the broken math is incredibly

00:20:41.619 --> 00:20:43.960
effective at selling us a better narrative. It

00:20:43.960 --> 00:20:45.660
is definitely something to ponder the next time

00:20:45.660 --> 00:20:48.140
you read a dramatic headline about a 50 % drop

00:20:48.140 --> 00:20:50.660
in the market. Keep your eyes open, remember

00:20:50.660 --> 00:20:52.559
the broken foundation beneath the numbers and

00:20:52.559 --> 00:20:54.059
we'll see you on the next deep dive.
