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[..]

I think 5'6"-5'8" is the most significant. Basically taking you out from the short zone to at least normal. From taller than only 70% of female population (tbh nowadays more like 40-50%) and 5% male population to about 85% of female and 20% of male. (15% difference)





Then followed by 5'8"-5'10". Taking you to taller than almost 100% of female and 45% of male (15%-25% difference). Well, it's greater by this calculation, but chart is likely to be wrong.

and 5'10"-6' is the least significant. In fact, the benefits are debateable and the difference is barely noticeable.

By the way, I have a belief that you should compare yourself to men of your race. For example, if you're an Indian man you should compare to other Indian men.

What do you think?

[Sanity]

talking strictly about the dating game, wat do u think of the 5'8 to 5'11 jump's impact.

[..]

talking strictly about the dating game, wat do u think of the 5'8 to 5'11 jump's impact.

It's great. 5'8" is basically borderline short for white male and average for Asian whereas 5'10" is the average for white male and tall for Asian.

[Sanity]

when non-ll ppl say tht they cant understand why we would break our bones for just a couple of inches. LMFAO!

[..]

when non-ll ppl say tht they cant understand why we would break our bones for just a couple of inches. LMFAO!

I can understand why they think that way. I was once an idiot too and when I was younger I failed to realize the significance of height and would never ever think of breaking my bones for 2".

Most people aren't able to see things through and comfortable with whatever their situation is.

[Sanity]

I can understand why they think that way. I was once an idiot too and when I was younger I failed to realize the significance of height and would never ever think of breaking my bones for 2".

Most people aren't able to see things through and comfortable with whatever their situation is.

ur right man really ignorance is bliss.

and the short ones aren't comfortable, more like socially blind coz their thinking be like "oh mb it was somthing i said" yea right. got dumped mb it was somthing i said. got ignored "....  on and on. The emotional mind will really deceive the logical mind into utter pomposity if left unchecked. in my case i wanted to shake up find the bitter truth rather than stay drunk in vanity.

[Bushguy]

I think the important point its where you are higher than most of girls usually at  5'10".

[..]

I think the important point its where you are higher than most of girls usually at  5'10".

True. But I would argue that the majority is 5'8" and under.

[Bushguy]

im 173,5 cm and i can say im taller or at least equal to most girls, but you know its not enough( for me)

[Sanity]

im a fking manlet and not proud XD

[CaptainAmerica]

https://www.cdc.gov/nchs/data/series/sr_03/sr03_039.pdf

https://i.imgur.com/UCIM0aE.png

Official stats from the CDC. Since it's entirely plausible that someone in the US could live in an area that is 90%+ white, I will be calculating with nums from the 20-39 non-hispanic white stats.

mean: 70.1 inches (5'10.1")
standard deviation: stdError*sqrt(n) = 0.11*sqrt(715) = 2.94

So we can say that height is normally distributed with a mean of 70 inches and a standard deviation of 3 inches.

http://www.muelaner.com/wp-content/uploads/2013/07/Standard_deviation_diagram.png

On this graph, σ(sigma) means standard deviation. Notice 68.2% of people will fall within one standard deviation, so that is 5'10+-3, 6'1 and 5'7.

Now, we want to see which jump has bigger area on this graph (5'6" to 5'8", 5'8" to 5'10", or 5'10" to 6') because that would mean that you would have the biggest "jump" and would become "taller" than more people in the population.

We can do this with normcdf(lower bound, upper bound, 70, 3).

For 5'6 to 5'8 the area is: 16.1%
For 5'8 to 5'10 the area is: 24.75%
For 5'10 to 6' the area is: 24.75%

Bonus intervals:
5'3 to 5'6: 8.1%
5'10 to 6'2: 40.87%
5'6 to 5'10: 40.87%

(notice the biggest jumps are the ones that are closer to the mean, this makes sense, there are a LOT of people close to the mean in the 5'8-6ft range).

What these percentages mean is, relative to each height, this is the percentage of more people you will be taller than after gaining height. So if you went from 5'6 to 5'8 you would now be taller than 16.1% of the males you would have encountered previously.

So to answer the question in the OP: Relatively 5'8 to 5'10 and 5'10 to 6' are equivalent jumps if we look at this from a PURELY statistical point of view.

I would say MORE important than area "jumps" is simply lying within about one single standard deviation of height, which would be the 5'7-6'1 line. Being within one standard deviation of a norm usually means you have become, incredibly average and usual, there is absolutely nothing uncanny or exceptional about a standard deviation. So for example, take someone who is 5'4 (2 standard deviations away) and becomes 5'8 (a little less than one standard deviation), even though that's only a 23% increase relative to the population, in reality he just went from being the shortest guy in a room of 50 males, to only being the shortest guy in a group of 4 males. That's a huge change in perception. Also, something similar happens to people going from 5'6 to 5'10, 5'6 to 5'10 is just slightly over a standard deviation away and 5'10 ls the mean. That means you go from being the shortest person in a group of 10 males to on average, being taller than half of males. That's another HUGE change in perception.

On a side note, from looking at the CDC stats, it's pretty interesting to note that their 30-39 sample population was 1/3 of an inch taller than their 20-39. The sample sizes were kind of small though (<1000), so it could just be error (or maybe, heights are actually starting to decline slightly in response to poor sleep/diets/hormones?). That may not sound like a lot, but in statistics a difference in even 1/3 of an inch on the mean can lead to significant effects IRL, heck, even one inch. Note that Germany is regarded as having an average male height of ~5'11 and America an average male height of ~5'9, and Germans are perceived to be "giants" because of this 2 inch difference. Something else I found interesting was that the 20-39 asians were 8/10ths of an inch taller than the 40-59 asians. Probably representing immigrants vs first generation asians (Could be diets and better health, or could just be immigration from different regions, could even be both).

[..]

https://www.cdc.gov/nchs/data/series/sr_03/sr03_039.pdf

https://i.imgur.com/UCIM0aE.png

Official stats from the CDC. Since it's entirely plausible that someone in the US could live in an area that is 90%+ white, I will be calculating with nums from the 20-39 non-hispanic white stats.

mean: 70.1 inches (5'10.1")
standard deviation: stdError*sqrt(n) = 0.11*sqrt(715) = 2.94

So we can say that height is normally distributed with a mean of 70 inches and a standard deviation of 3 inches.

http://www.muelaner.com/wp-content/uploads/2013/07/Standard_deviation_diagram.png

On this graph, σ(sigma) means standard deviation. Notice 68.2% of people will fall within one standard deviation, so that is 5'10+-3, 6'1 and 5'7.

Now, we want to see which jump has bigger area on this graph (5'6" to 5'8", 5'8" to 5'10", or 5'10" to 6') because that would mean that you would have the biggest "jump" and would become "taller" than more people in the population.

We can do this with normcdf(lower bound, upper bound, 70, 3).

For 5'6 to 5'8 the area is: 16.1%
For 5'8 to 5'10 the area is: 24.75%
For 5'10 to 6' the area is: 24.75%

Bonus intervals:
5'3 to 5'6: 8.1%
5'10 to 6'2: 40.87%
5'6 to 5'10: 40.87%

(notice the biggest jumps are the ones that are closer to the mean, this makes sense, there are a LOT of people close to the mean in the 5'8-6ft range).

What these percentages mean is, relative to each height, this is the percentage of more people you will be taller than after gaining height. So if you went from 5'6 to 5'8 you would now be taller than 16.1% of the males you would have encountered previously.

So to answer the question in the OP: Relatively 5'8 to 5'10 and 5'10 to 6' are equivalent jumps if we look at this from a PURELY statistical point of view.

I would say MORE important than area "jumps" is simply lying within about one single standard deviation of height, which would be the 5'7-6'1 line. Being within one standard deviation of a norm usually means you have become, incredibly average and usual, there is absolutely nothing uncanny or exceptional about a standard deviation. So for example, take someone who is 5'4 (2 standard deviations away) and becomes 5'8 (a little less than one standard deviation), even though that's only a 23% increase relative to the population, in reality he just went from being the shortest guy in a room of 50 males, to only being the shortest guy in a group of 4 males. That's a huge change in perception. Also, something similar happens to people going from 5'6 to 5'10, 5'6 to 5'10 is just slightly over a standard deviation away and 5'10 ls the mean. That means you go from being the shortest person in a group of 10 males to on average, being taller than half of males. That's another HUGE change in perception.

On a side note, from looking at the CDC stats, it's pretty interesting to note that their 30-39 sample population was 1/3 of an inch taller than their 20-39. The sample sizes were kind of small though (<1000), so it could just be error (or maybe, heights are actually starting to decline slightly in response to poor sleep/diets/hormones?). That may not sound like a lot, but in statistics a difference in even 1/3 of an inch on the mean can lead to significant effects IRL, heck, even one inch. Note that Germany is regarded as having an average male height of ~5'11 and America an average male height of ~5'9, and Germans are perceived to be "giants" because of this 2 inch difference. Something else I found interesting was that the 20-39 asians were 8/10ths of an inch taller than the 40-59 asians. Probably representing immigrants vs first generation asians (Could be diets and better health, or could just be immigration from different regions, could even be both).

Very interesting perspective. I agree that it's more about lying within one single standard deviation.

I just would like to add the for Asians (like you and me), I believe we'll be taller than more Asian men with 5'6"-5'8" jump than 5'8"-5'10". This is because there are more Asian men in that range.

[LL4me]

Good post captain.

In short, the shorter you are the more you gain from LL.
Note that a man gaining 2-3 inches from LL is also improving his height relative to women at an even greater amount.

[..]

Good post captain.

In short, the shorter you are the more you gain from LL.
Note that a man gaining 2-3 inches from LL is also improving his height relative to women at an even greater amount.

Not true. If you're 5' male. Another 2-3" doesn't get you anywhere near standard deviation.

[LL4me]

Not true. If you're 5' male. Another 2-3" doesn't get you anywhere near standard deviation.

at 5'0 nearly all women are tall than you. But at 5'3 u are an inch shorter than half of the girls/women. That's the gain I am referring to.

Men do't do LL so they can be taller than other men. if u are too off the male average then LL will atleast make u as tall as women and that's worth some thing.

[..]

at 5'0 nearly all women are tall than you. But at 5'3 u are an inch shorter than half of the girls/women. That's the gain I am referring to.

Men do't do LL so they can be taller than other men. if u are too off the male average then LL will atleast make u as tall as women and that's worth some thing.

Yeah that's a wrong perception.

[CaptainAmerica]

Very interesting perspective. I agree that it's more about lying within one single standard deviation.

I just would like to add the for Asians (like you and me), I believe we'll be taller than more Asian men with 5'6"-5'8" jump than 5'8"-5'10". This is because there are more Asian men in that range.

Lol wat? I'm not Asian.

Good post captain.

In short, the shorter you are the more you gain from LL.
Note that a man gaining 2-3 inches from LL is also improving his height relative to women at an even greater amount.

Yeah this is another analysis I plan on making eventually... Showing the % of woman you'd now be taller than after LL... The areas would be substantially larger, considering the fact that the mean for women is at 5'5 and their 90th percentile bound is only 5'8. Meaning you could go from being shorter than 1/2 of women to being taller than 90%+ of them if you're under 5'5. 

I also plan on doing a statistical analysis of patient satisfaction and LL outcomes, taking into account pre and post heights.

https://www.reachyourheight.com/wp-content/uploads/2017/12/2016-Herzenberg-patient-satisfaction-JSOA.pdf

I think I'll make a separate thread for this