Self Off-site Veritasium's simulation of luck pissed me off. So I ran it myself
This is in reference to this video: being delusion is a super power. Its a good video overall, but there is a simulation inside it that is completely wrong.
It was a simulation about luck. He took 18000 thousand candidates, gave them random skill scores from 0-100. Random luck scores from 0-100. Added them in the 95:5 ratio and tried to reverse engineer how important a 5 percent luck factor is. Basically: skill is 0-95, luck from 0-5, total score 0-100. Some of his results:
The top 10 candidates had an average luck of 95%
9 out of the top 10 candidates would not have been selected had luck not been present.
It just didn't make ANY SENSE to me.
Here is a POV of his selection: There are no skill differences in his model of the world!!!
|Rank|Skill|luck|
|:-|:-|:-|
||||
|1|99.9|???|
|2|99.9|???|
|3|99.9|???|
|4|99.9|???|
|5|99.9|???|
|...|...|...|
|20|99.9|???|
|...|...|...|
|40|99.8|???|
|...|...|...|
And I figure out why:
1. he considered skill to be a uniform distribution
2. if you are selecting the top 0.2% (in this case, almost equal to the total score of of 99.8), but your max skill score contribution is 95, then OBVIOUSLY you need a luck of at least 4.8 / 5??? This is clearly a flaw with the simulation, it doesn't model anything at all!
So I fixed it: I modelled skill to be a sort of log normal distribution (almost a bell curve). I calibrated this curve based on deadlift data. (it was the best quantifiable metric of skill I landed on). And I added a performance variance due to luck.
I now simulated a deadlift competition among 18000 applicants. And took that stats of the winner and the top 10. Note that the simulation still isn't perfect
1. using deadlift weight as a proxy for "skill" still isn't perfect since real skill isn't linear. Someone could lift only 20kg more but in the grand scheme of things, that's a huge skill gap
2. I was VERY generous with luck. I assumed a 7.5% standard deviation in performance
I posted my findings on my own youtube channel (LINK TO VIDEO). But I know a lot of you guys don't have time for all that, so I am posting it here as well:
|Rank|Deadlift Skill (kg)|Win percentage|average winning luck|avg luck “needed” to beat #2|
|:-|:-|:-|:-|:-|
||||||
|1|510|58.6 %|65|35|
|2|490|31.4 %|83|63|
|3|456|5.1 %|95|92|
|4|444|2.1 %|99|99|
|5|438|0.9 %|99|99|
|6|438|0.9 %|99|99|
|7|428|0.3 %|100|100|
|8|427|0|N/A|N/A|
|9|427|0.2 %|100|100|
|10|423|0.2 %|100|100|
|10 to 18000|<423|0.3 %|100|100|
Its now much more realistic. 70 percent of the top 10 candidates deserve to be there, and the very top candidates are never left out. The above table tracks stats for winning the whole competition (being the #1), and I noticed that average luck isn't even a very good metric. A better metric is "needed" luck to beat the #2. Also, I only considered 1000 iterations, so there is a lot of noise in the data, but I decided to leave that in, since real life doesn't give you a million iterations
I hope you guys found this interesting!
https://redd.it/1swj254
@TheyDidTheMath
This is in reference to this video: being delusion is a super power. Its a good video overall, but there is a simulation inside it that is completely wrong.
It was a simulation about luck. He took 18000 thousand candidates, gave them random skill scores from 0-100. Random luck scores from 0-100. Added them in the 95:5 ratio and tried to reverse engineer how important a 5 percent luck factor is. Basically: skill is 0-95, luck from 0-5, total score 0-100. Some of his results:
The top 10 candidates had an average luck of 95%
9 out of the top 10 candidates would not have been selected had luck not been present.
It just didn't make ANY SENSE to me.
Here is a POV of his selection: There are no skill differences in his model of the world!!!
|Rank|Skill|luck|
|:-|:-|:-|
||||
|1|99.9|???|
|2|99.9|???|
|3|99.9|???|
|4|99.9|???|
|5|99.9|???|
|...|...|...|
|20|99.9|???|
|...|...|...|
|40|99.8|???|
|...|...|...|
And I figure out why:
1. he considered skill to be a uniform distribution
2. if you are selecting the top 0.2% (in this case, almost equal to the total score of of 99.8), but your max skill score contribution is 95, then OBVIOUSLY you need a luck of at least 4.8 / 5??? This is clearly a flaw with the simulation, it doesn't model anything at all!
So I fixed it: I modelled skill to be a sort of log normal distribution (almost a bell curve). I calibrated this curve based on deadlift data. (it was the best quantifiable metric of skill I landed on). And I added a performance variance due to luck.
I now simulated a deadlift competition among 18000 applicants. And took that stats of the winner and the top 10. Note that the simulation still isn't perfect
1. using deadlift weight as a proxy for "skill" still isn't perfect since real skill isn't linear. Someone could lift only 20kg more but in the grand scheme of things, that's a huge skill gap
2. I was VERY generous with luck. I assumed a 7.5% standard deviation in performance
I posted my findings on my own youtube channel (LINK TO VIDEO). But I know a lot of you guys don't have time for all that, so I am posting it here as well:
|Rank|Deadlift Skill (kg)|Win percentage|average winning luck|avg luck “needed” to beat #2|
|:-|:-|:-|:-|:-|
||||||
|1|510|58.6 %|65|35|
|2|490|31.4 %|83|63|
|3|456|5.1 %|95|92|
|4|444|2.1 %|99|99|
|5|438|0.9 %|99|99|
|6|438|0.9 %|99|99|
|7|428|0.3 %|100|100|
|8|427|0|N/A|N/A|
|9|427|0.2 %|100|100|
|10|423|0.2 %|100|100|
|10 to 18000|<423|0.3 %|100|100|
Its now much more realistic. 70 percent of the top 10 candidates deserve to be there, and the very top candidates are never left out. The above table tracks stats for winning the whole competition (being the #1), and I noticed that average luck isn't even a very good metric. A better metric is "needed" luck to beat the #2. Also, I only considered 1000 iterations, so there is a lot of noise in the data, but I decided to leave that in, since real life doesn't give you a million iterations
I hope you guys found this interesting!
https://redd.it/1swj254
@TheyDidTheMath
YouTube
Why Being Delusional is a Superpower
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If someone made an indestructible baseball, how hard would a batter have to hit the ball in order for it to turn into a meteor in space? [request]
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[Request] What percent of what percent of what percent is he talking about?
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[Self] If you blended all 7.88 billion people on Earth into a fine goo (density of a human = 985 kg/m3, average human body mass = 62 kg), you would end up with a sphere of human goo just under 1 km
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[Request] How many times more powerful does a pair of human lungs need to be to sneeze a lungful of air fast enough to blow off at least half of Jupiter's atmosphere?
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[Request] who paid more $ or € the 14 year old make a wish donater who traded his Disneyland tickets to feed 300 homeless or the Turkish couple who feed 4k refugees so how many people i could feed in turkey for the price of a Disneyland ticket in the us or paris
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[Request] How wide could this alien emerging from the planet be, if that planet is Uranus?
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[Request] What is the optimal speed to slide on ice so that the temperatur difference between your body and the ice stays maximal?
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Request Can a 100W solar panel condense 8-10 gallons of water per day?
Are the claims in this post plausible?
# Built an atmospheric water generator from hardware store parts. Pulls 8-10 gallons of drinking water from the air per day. Here's the breakdown.
>Background: well ran dry last year, I had a family and no municipal water option. Started researching and ended up building this. Figured this community would appreciate the technical side.
>What it is: an atmospheric water generator. It works by pulling air across a cooled condenser coil, the moisture in the air condenses on the coil, drips into a collection tank, passes through a filter and comes out clean and drinkable. Same principle as the water that drips off your AC unit, just engineered specifically for drinking water production.
>Core components:
>A refrigeration compressor and condenser coil (I stripped mine from a junked mini fridge but you can buy these standalone)
>A fan to move air across the coil
>A collection tank, food grade only, this matters
>A basic carbon block filter on the output
>A float shutoff so it doesn't overflow
>My first two builds failed. First one had a wiring issue that killed the compressor. Second had a condenser loop that was too small and couldn't cool efficiently enough to get meaningful condensation. Third one worked and has been running daily for 8 months.
>I later added a 100w solar panel and a battery bank to run it off grid. Total power draw is low, similar to running a small fan, so the solar setup was not expensive.
>Output varies with humidity. On a typical Arizona summer day at around 25% humidity I get 8-10 gallons. On higher humidity days it does more. It is not a solution for extreme desert conditions but it works in most of the country.
>Happy to go deep on any part of the build. Also documented the whole process in my profile in case anyone wants to replicate it.
https://redd.it/1sx92dv
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Are the claims in this post plausible?
# Built an atmospheric water generator from hardware store parts. Pulls 8-10 gallons of drinking water from the air per day. Here's the breakdown.
>Background: well ran dry last year, I had a family and no municipal water option. Started researching and ended up building this. Figured this community would appreciate the technical side.
>What it is: an atmospheric water generator. It works by pulling air across a cooled condenser coil, the moisture in the air condenses on the coil, drips into a collection tank, passes through a filter and comes out clean and drinkable. Same principle as the water that drips off your AC unit, just engineered specifically for drinking water production.
>Core components:
>A refrigeration compressor and condenser coil (I stripped mine from a junked mini fridge but you can buy these standalone)
>A fan to move air across the coil
>A collection tank, food grade only, this matters
>A basic carbon block filter on the output
>A float shutoff so it doesn't overflow
>My first two builds failed. First one had a wiring issue that killed the compressor. Second had a condenser loop that was too small and couldn't cool efficiently enough to get meaningful condensation. Third one worked and has been running daily for 8 months.
>I later added a 100w solar panel and a battery bank to run it off grid. Total power draw is low, similar to running a small fan, so the solar setup was not expensive.
>Output varies with humidity. On a typical Arizona summer day at around 25% humidity I get 8-10 gallons. On higher humidity days it does more. It is not a solution for extreme desert conditions but it works in most of the country.
>Happy to go deep on any part of the build. Also documented the whole process in my profile in case anyone wants to replicate it.
https://redd.it/1sx92dv
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[Request] Does Trump's math make sense when it comes to safety? Is Car Racing and Bull riding more safer than being a POTUS?
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[Request] If the Sun suddenly disappeared, how long before humans on Earth run out of oxygen, assuming they find a way to survive the cold and all of the other terrible side effects of the Sun suddenly and mysteriously disappearing?
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Request How long would it take to get to 75% the speed of light with an acceleration of one g?
I was reading a science fiction book, and in it humanity has the capability to build interstellar ships that can attain 75% the speed of light. Assuming it would be ideal to maintain an acceleration that mimics gravity on Earth, how long would it take to reach maximum velocity?
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I was reading a science fiction book, and in it humanity has the capability to build interstellar ships that can attain 75% the speed of light. Assuming it would be ideal to maintain an acceleration that mimics gravity on Earth, how long would it take to reach maximum velocity?
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