NS Stats - Trends, Correlations, Anti-Correlations, Oh My!

[Valentine Z]

I am not ashamed to admit that I couldn't do this properly on Python. Way too much time, and I need to learn more! With that said, good news! I did the processing in Python, then port over the numbers to Excel. The result?

[Trotterdam]

Excellent! And that does look like it's equal 1/3 chance for each possibility, with deviations being within the margin of random chance.

Well, I think that's about as comprehensive as this subject can possibly be studied.

[Jutsa]

Well, I think that's about as comprehensive as this subject can possibly be studied.

What about even smaller nations 5mill - 50mill?

[Valentine Z]

Well, I think that's about as comprehensive as this subject can possibly be studied.

What about even smaller nations 5mill - 50mill?

Clearly defined!

[Jutsa]

my random guess of 50 mill (higher than I thought it'd be) turned out to be surprisingly accurate. xD (a little smaller even!)

Many thanks, Val

[Merconitonitopia]

Come to think of it, socialist nations having higher employment makes sense if you remember that the difference is only really dramatic in nations with poor economies. In capitalist nations, people aren't going to bother working if they'll just be paid pathetic wages to do work of neglible value because the economy is crap. In socialist nations, they don't really have a choice, you do what central planning says whether it actually produces useful results or not (and NationStates clearly supports both outcomes).

This is consistent with the data: capitalist citizens become more eager to work as the economy improves (at least sometimes: maximum (non-outlier) employment goes up, but minimum (non-outlier) employment does not, so some nations manage to improve their economy without more people working - presumably these are Scandinavian-like nations with free-ish markets but extensive welfare, which appears to produce very different results from pure socialism as far as NationStates is concerned), while socialist employment varies little and is nearly (but not perfectly) horizontal, except above about 96 economy.

If that's the case, then it appears that NS has things exactly backward. People would be more eager to work in a poorer country because lower hourly rates mean one needs to work more hours to earn a liveable income. Higher wages can either (a) raise the labour supply, because the incentive to work is higher (income effect), or (b) reduce the labour, because people can afford to work less and so substitute leisure for money (substitution effect).

[Jutsa]

Eh, I think a lot of it depends on the kind of economy you have. Many cultures don't live around working the same way many western cultures do, which one could argue is a large reason why their economy is smaller. That said, I've noticed there's a lot more to employment in NS than just the economy. A lot of it seems to be related to economic freedom, for instance.

That said, employment really is its own statistic in its own right. Every time I answer the issue to significantly slash taxes, my employment goes up significantly (likely because of less extensive welfare programs, etc.) But then when the tax rate goes back up, the employment rate has stayed fairly stable. I'm not entirely sure why, as both times my economy fell substantially and my economic freedom hadn't changed that dramatically.

You can see clearly on my own employment graph when things occurred. Highs indicate a change to socialism, lows a change to capitalism. One of the changes landed in the middle somewhere, somehow, while tax cuts show smaller but still significant increases. The small variations in the middle are often tied to economic freedom and taxation afaict. https://www.nationstates.net/nation=jutsa/detail=trend?censusid=56

Side note: In the middle of my lengthy period of no employment (summer 2016 - summer 2017) I had answered an issue that made it go right in the middle of the grid for employment, but I answered another issue which made it go back to nothing before the game could even update. No freaking idea what happened or why.

[Trotterdam]

If that's the case, then it appears that NS has things exactly backward. People would be more eager to work in a poorer country because lower hourly rates mean one needs to work more hours to earn a liveable income.

Employment doesn't cover how many hours you work, though, just whether or not you have a job. Whether you're working 4 hours per week or 80 hours per week, you're still employed.

Nations with broken economies would tend to have some people slaving away for unreasonable hours to make end meets while other people starve on the streets because they can't find a job. Nations with healthier economies would spread things out so more people have a job, but those jobs require fewer hours each, meaning that the overall amount of work that gets done is still similar, while still paying each of those workers a reasonable living wage.

(This is why I disagree with the "automation is going to take away our jobs!" panic that some people are worried about. So far, history has shown that as technology improves and the economy improves with it, the number of people with jobs doesn't actually go down, but rather the number of hours that they need to work to get a decent salary does. And of course, the type of work can change: not nearly as many people are farmers now as a few hundred years ago, but that doesn't mean that everyone else is sitting around doing nothing. Which is the real problem: sure, in the long run better automation is better for everyone, but in the short run, some specific people who were working in that sector might find that the skills they've spent their entire life practicing are suddenly no longer in demand.)

[Merconitonitopia]

If that's the case, then it appears that NS has things exactly backward. People would be more eager to work in a poorer country because lower hourly rates mean one needs to work more hours to earn a liveable income.

Employment doesn't cover how many hours you work, though, just whether or not you have a job. Whether you're working 4 hours per week or 80 hours per week, you're still employed.

Sure, but the same principle applies to whether you choose to work at all.

[Trotterdam]

Sure, but the same principle applies to whether you choose to work at all.

It really doesn't. It doesn't matter how high or low hourly wages are in your country, if you're unemployed and therefore working zero hours, you're also earning zero wages. Therefore, while changes in wages might affect how attractive working is, they don't affect how problematic not working is.

The real question here is whether "subsistence farming" counts as "employment". It's a lot of work, but nobody else is making you do it and the only payoff is food rather than money. I'm assuming that it doesn't count, and that's what many the unemployed people in poor countries are in fact doing.

[Valentine Z]

Sorry I was away, again! As part of my birthday celebration, I present to you all my latest data extraction and visualization! Using the large library of archives starting from around Sept 2018 till now, I have calculated the number of nations, as well as the total combined populations, on NationStates.

1000+ dumps used, each day having a 400-600 MB sized XML. In total, I was looking at 600-800 GB worth of data. The project took a week from the start to the finish.

https://www.nationstates.net/page=dispatch/id=1660820

[Trotterdam]

Weird how the population graph has a couple of basins where it drops almost vertically, then rises again a while later (one circa 2020 06, and one from 2020 09 to 2021 02). Presumably that's when one particularly old and large nation (or puppet farm) ceased to exist, then was subsequently revived. I wonder who could be that influential.

The number of nations graph has an extreme, short-lived spike at 2020 05. Presumably that's when the site was thrust into awareness by being linked from some more popular site, drawing a large number of new people who stuck around for a short time before losing interest. Poking around the forum could probably turn up the historical details of exactly what caused it.

Worth noting is that the population graph and nation count graph do not actually resemble each other much. Clearly population is dominated mainly by a few large nations rather than the number of smaller ones. Though there's a couple of cases where the population graph seemingly imitates the nation count graph in a much more muted way: a vague overall upwards trend, and the two "hills" in 2021 10 and 2021 12. On the other hand, the big spike in nation count is shortly followed by the first dip in population. One wonders if that was a coincidence...

You might be interested in this post I made eight years ago exploring the implications of a population that large. It looks like the present population is four times what it was when I wrote that...

[Valentine Z]

I will promise to go back to regular programming soon, but for now, I got another little Intermission!

Population vs Founded Time in Epoch! So this is not to find the precise years and months of each of the nations' foundings, but to use the founding date to link the population. Excluding the Antique nations, which will come later.

And this one is a bit different. There are Antique nations, which is outputted as FoundedTime = 0, i.e. no precise timing. This is the precise data for these nations:

Now, notice the two little dots above the 40 billion mark that are out of nowhere from the trend? Ever wonder what those two nations are? Here they are! Note that the table filters out the nations with Founded_Time = 0.

Nations sorted by non-zero Founding Times.

[PhilTech]

And this one is a bit different. There are Antique nations, which is outputted as FoundedTime = 0, i.e. no precise timing. This is the precise data for these nations:

(Image)

So if I understand this correctly, there are antique nations that has a population of less than 1-2 billion?

If so, I am curious to see those nations, sorry for the bother.

[Valentine Z]

And this one is a bit different. There are Antique nations, which is outputted as FoundedTime = 0, i.e. no precise timing. This is the precise data for these nations:

(Image)

So if I understand this correctly, there are antique nations that has a population of less than 1-2 billion?

If so, I am curious to see those nations, sorry for the bother.

Nah, it's all good! I like doing these anyway, hehe. :3

Anyway, here they are! Nations sorted ascending pop by Founded = Antiquity.

For proof and reference, here's Beaneaters!

[PhilTech]

Thanks V!

For proof and reference, here's Beaneaters!

Holy Karabaw! What a legend!

"I shall declare this as a worthy commendation!"

"I fart, therefore I am."

......yeah this guy definitely needs a commendation

[Independence Hill]

I made this set of equations, except the one for the exchange rate, to get a better insight as how the stats move from day to day in relation to each other.

I've tested it on many nations and have found that none have exposed any vulnerabilities. It's obvious that I'm a stats player, and I'm asking others to take a look at it and let me know what they think.

IQ: (√((HDI + Intelligence + Health) - (Ignorance) x Productivity Score) / 100) + ECS = IQ

Example:

(HDI + Intelligence + Health) - (Ignorance) = z

z * Productivity Score = (y)

√(y) / 100 = x

x + Economic Classification Score = IQ.

65.49 + 40.99 + 4.06 = 110.54

110.54 - 4.78 = 105.76

105.76 x 35,000 = 3,701,600

√(3,701,600) = 1,923.9542614106

1,923.9542614106 / 100 = 19.2395426141

19.2395426141 + 85 = 104.2395426141

Economic Productivity Rating: This is used in an equation that tracks the exchange rate of the Universal Treasury Note. A value is attached to whichever classification the economy is given. Example: Frightening = 50,000 and is the maximum. The scoring for this is inspired by NS Economic Formulae, but not identical. Scoring is set by the United States of Independence Hill but not far off from NS Economic Formulae scoring.

Average Cost of an Automobile: (Automobile Manufacturing x Productivity Score) / 404,000,000 x Average Income of the Poor

Cost of a Gallon of Gas: √(Price of Oil per barrel + total gallons in supply * EPR / 404,000,000,000)

If the price per barrel is less than 50, move the decimal of your answer one space to the left

Cost of a Gallon of Diesel, Jet Fuel, Liquid Petroleum Gases, and Heavy Fuel Oil: √(Price of Oil per barrel + total gallons in supply * EPR / 404,000,000,000)

If the price per barrel of oil is less than 50, move the decimal of your answer one space to the left

If the total supply of Gas, Diesel, Jet Fuel, Liquid Petroleum Gases, and Heavy Fuel Oil exceeds 1 billion gallons, move the decimal of your answer to calculating gas and other fuels two places to the left.

Average Cost of an Acre of land: √((Food Quality + Agriculture) x Income Equality) = cost per acre of land

Acres of Undeveloped Land for Sale: Population/Avg Cost of An Acre of Land = AULS (Acres of Undeveloped Land for Sale)

Average Cost of a House: ((Timberwood Chipping + Manufacturing + Scientific Advancement) x Productivity Score) / 404,000,000 x Average Income of the Poor + Average Income = Average Price of a House.

Average Cost of Rent Per Month:

poorest 10% income x avg income = x

x/average cost of a house = y

√(y) = z multiplied by a score from below-

Frightening (x1.75)
All Consuming (x1.50)
Powerhouse (x1.25)
Thriving (x1)

Example applied: Economy = Thriving

Exchange rate is []1.00 = $2.84

35,475.61 x 86,654.57 = 3,074,123,730.0377

3,074,123,730.0377 / 129,185.75 = 23,796.15189785019

√(23,796.15189785019) = []154.2600139305393 ($438.0984395627317)

[]154.2600139305393 x 1 = []154.2600139305393/Month's Rent

Unemployment Rate:

(100 - Employment) / Black Market = (X + Unemployment Score) as a percentage

100 - 81 = 19

19 / 217.8 (Blackmarket converted into a decimal) = 0.088

√(0.088) + 2 = 2.30%

Number of Barrels of Fuel Oil Produced in One NS Year (one Earth Day):

(Mining+ Scientific Advancement + Automobile manufacturing + Agriculture) - (Environmental beauty) x Economic Productivity Score

Price of Fuel Oil per Barrel: Square root of Number of Barrels in supply / classification score

√(128,012,850) / 85 =

[]133.11 per barrel ($576.37/barrel of fuel oil)

For every 250,000,000 barrels produced, add 100 to your classification score.
Example: √(1,000,000,000) / 485 = []65.20/barrel

Import/Export by Industry

(Capital 'M' for major gap importer/exporter, lowercase 'm' for minor gap)

What we import from the rest of the world: Arms Manufacturing (M), Cheese (m), Insurance (m), Trout (m)

What we export to the rest of the world: Automobiles (M), Basket Weaving (m), Beverages (M), Book Publishing (M), Furniture Restoration (m), Gambling (m), Information Technology (M), Mining(M), Pizza (M), Retail (M), Timber Wood Chipping (M).

The wider the gap, the more we import or export that particular industry. Nations with a high-value currency should become a net-importer. Some of the items we export have very slim gaps and are not worth the effort in strengthening. Because we have a high-value currency, we should be shedding these slim gap industries and focusing on ones with much wider gaps.

(Highest Value x Lowest Value) / (Highest Value - Lowest Value) = Import or Export. If your trends screen says your industry is higher than your region or the rest of the world, you export. If your value is lower than the world and/or your region, you import. The formula I gave you calculates how much you're importing or exporting.

Balance of Trade: How much more or less are we importing than exporting...

Defense Missile Production & Efficiency:

√((Defense forces + Information Technology + Arms Manufacturing) / Scientific Advancement)

Example:

√((1684.71 + 11,238.04 + 4269.52) / 169.58)

Applying the square root gives you the number of rockets that can be made in one NS year.

10.07 Defense Missiles/NS Year

Without applying the square root, you get the percentage of how efficient the defense missiles are at deflecting a threat from the air.

101.38% efficiency.

Tank Production & Efficiency: √((Defense forces + Information Technology + Arms Manufacturing + Automobile Manufacturing) / Scientific Advancement)

Minimum Wage: Avg income of the poor divided by Public Education (if public education value is zero or a negative number, no minimum wage is established. Nations with high minimum wage may also have a high inflation rate, but more experimentation is required to know for sure.)

Average Exchange Rate: Exchange rate averaged between members of the region, values are taken from NSDossier.

Absolute Exchange Rate: √(GRP Per Capita * EPR / 404,000,000) This is going to be the square root of (GRP per capita multiplied by the Economic Productivity Rating and then divided by 404,000,000).

Credit Available: (Consumer spending + Savings and investment) - Money Supply = x multiplied by credit score listed in the chart below measured in billions

Credit Per Capita: (Total Credit Available / Population) (How much credit is available to every man, woman, and child)

Credit Utilization: (Total Credit Available / Total Credit Per Capita) (How much you're using of your available credit)

Interest: Interest rate percentage of total credit utilization) (How much borrowing the money costs)

Consumer Debt: (Interest accrued + Total Credit Utilization) (How much of what was borrowed plus interest is paid)

Consumer Debt Paid: Consumer Debt - Total Credit Defaulted

Total Credit Defaulted: √(Black Market / Unemployment) (Applied as a percentage. This is how much of the consumer debt didn't get paid and rolled over into the next cycle. Unless the economy expands to the point of paying the entire consumer debt, this amount will keep rolling over and getting bigger as time goes on. The federal government is well within its right to either pay the debt for the consumer using the surplus or letting the debt bubble get bigger.)

Consumer Debt Carried Over: This will be total credit defaulted + its cycle's interest rate. This total is carried over to the next cycle and is subtracted from Credit Available, as this must be paid back to restore the full potential of available credit.

Interest Rate: Keep in mind that I can only have an impact on this data via answering issues. I can only read what the system will tell me. So, having said that, you would take the interest rate I'm about to show you how to calculate and you would subtract the percentage from credit spending. You see, credit spending includes how much is paid in interest. If we can calculate interest, we can find out how much of the total credit spending accounts for consumers buying things vs how much is paid in interest.

It seems that wealthier nations pay higher interest rates, but have much lower default rates. The reverse also happens where poorer nations pay lower interest rates but credit is less available and default rates can be wild.

√(Total Credit Available / Unemployment Rate)

√(600.050 / 3.03)

For our regional nation, our interest rate would be 14.07%

Inflation: Subtract the starting date exchange rate from the end date exchange rate and divide by the starting date exchange rate. Multiply by 100 and your answer is the rate as a percentage.

Federal Income Tax: Set by the United States of Independence Hill and applies to every citizen of every State in the nation.

State Income Tax: Each member of the United States of Independence Hill region is classified by the Federal Government as a State and their taxes apply only to the citizens of their State.

Average Income: NationStates Trends.

Consumer Spending: GDP or GRP divided by the exchange rate, add population.
Example:

GRP = []2.775 Quadrillion ($8.05 Q)

Exchange rate = $2.90

(2.775 / 2.90) + Population = 0.9568965517241379 + .00028791 (Since the population is in billions, you'll want to move the decimal so it coincides with the scale of quadrillions being to the left of the decimal.

0.95718446 (Almost a quadrillion Universal Treasury Notes) Or to simplify []957.184 trillion. ($2.776 Q)

GRP: GDP of all members added together

GRP per capita: NS Trends (GRP / Population)

Federal Budget: Percentage of GDP listed in the Government section applied GRP.

Federal Spending: This can also be found in the Government section, It's the raw number expressed instead of the percentage.

Surplus/Deficit: This can be found by subtracting Federal Spending from Federal Budget. A positive number, of course, is a surplus. Negative means deficit.

Money Supply: GDP or GRP minus 50 Trillion. NS Trends

Savings & Investment: GDP or GRP minus Consumer Spending.

Velocity of Money: GDP or GRP divided by Money Supply. NS Trends

Joseph Stockdale Business Index: Combines values of all industries minus arms and automobile manufacturing in NS Trends.

Erickson Manufacturing Index: Value of manufacturing in NS Trends.

Varnacki Agricultural Index: Value of agricultural output in NS Trends.

How it works: Fill out the order form below. We update the stock ticker every day and after someone buys or sells a stock. You cannot buy and sell the same stock on the same NS Year (Earth Day). Price of stocks are determined by √(how many points total in the market)/π = price per share. Buying shares drives the price up. For example, if someone buys 100,000 shares, we divide 100,000 by the price per share, add it to how many points total are in the market, find its square root, and then divide by pi - √((shares purchased/price per share) + how many points total in the market)/π. Add your answer to the total number of points in any market. Those same number of points that were added to this date's market measurement will be added every time you measure to account for the percentage of share value owned the a stockholder.

As the markets gain or lose value, of course, so will the investments.

Economic Productivity, Classification, Unemployment Score, Rent Multiplier, & Credit Score: (Productivity / Classification / *Unemployment Score / Rent Multiplier/ Credit Score)

Frightening = 50,000 / 100 / +2 / (x1.75) / x5

All-Consuming = 45,000 / 95 / +2.50 / (x1.50) / x4.75

Powerhouse = 40,000 / 90 / +3.00 / (x1.25) / x4.50

Thriving = 35,000 / 85 / +3.50 / NA / x4.25

Very Strong = 30,000 / 80 / +4.00/ NA / x4.00

Strong = 25,000 / 75 / +4.50/ NA / x3.75

Good = 20,000 / 70 / +5.00 / NA / x3.50

Fair = 15,000 / 65 / +6.00 / NA / x3.25

Reasonable = 10,000 / 60 / +7.00 / NA / x3.00

Developing = 5,000 / 55 / +8.00 / NA / x2.75

Struggling = 3,000 / 50 / +9.00 / NA / x1.25

Weak = 1,000 / 45 / +10.00 / NA / x.75

Fragile = 500 / 40 / +12.00 / NA / x.25

Basket Case = 250 / 35 / +14.00 / NA / x0.075

Imploded = 100 / 30 / +16.00 / NA / x0

(*Lower Unemployment Scores Are Better)

Default Rates and Credit Ratings

1-2% AAA
3-5% AA
6-8% A
10-12% BBB
13-16% BB
17-19% B
20-22% CCC
23-25% CC
26-28% C
29% and up, D

[Umbratellus]

Average Cost of an Automobile: (Automobile Manufacturing x Productivity Score) / 404,000,000 x Average Income of the Poor

For your "Average Cost of an Automobile" calculation, how would that work in countries like mine with a negative automobile manufacturing industry?

[Independence Hill]

Average Cost of an Automobile: (Automobile Manufacturing x Productivity Score) / 404,000,000 x Average Income of the Poor

For your "Average Cost of an Automobile" calculation, how would that work in countries like mine with a negative automobile manufacturing industry?

It would be assumed that you import from your region, so you would use the regional value. If you are the only nation in your region, you import from the rest of the world and you would use the world value.

[Valentine Z]

I'm still active and watching the thread and yes, I'm aware it's long-overdue, I do apologise once again! Life's been on a bit of a curveball lately, but after this week, I should be back to schedule for NS Issues stuff.

Anyway, that's a treasure trove of stuff, I appreciate it a lot and yes, I will see if I can use them into my existing stats and do the relevant calculations. ♥

[Valentine Z]

Oh shoot, who's back? I'm back! Well, for a while, but I will try my best! Thank you once again for putting up with my delays! I probably did not give precise timings for this reason, even though goodness knows I love doing this, like a lot. ♥

Anyway, #5-3: Food Quality (Y) vs Patriotism (X), requested by Bears Armed! Let's get into it!

With density as the Z-axis:

Population as the Z-axis, all Linear-Linear:

Number of Issues Answered as the Z-axis, all Linear-Linear:

X-axis histograms:

Y-axis histograms:

X max: 1 - Menta Lee-Il with 262.14 Flags Saluted Per Person Per Day.
X min: 1 - Iansisle and Smiley Bob with 0.08 Flags Saluted Per Person Per Day.
Y max: 1 - Tzo with 938.84 Meeshlin-Starr Index.
Y min: 2 - East Borland with 0.78 Meeshlin-Starr Index.

X and Y relations:

High Patriotism (> 29.37), High Food Quality (> 79.25): 5801 nations out of 245465.
Low Patriotism (< 1.16), Low Food Quality (< 7.24): 2229 nations out of 245465.
High Patriotism (> 29.37), Low Food Quality (< 7.24): 18743 nations out of 245465.
Low Patriotism (< 1.16), High Food Quality (> 79.25): 22236 nations out of 245465.

So, there it is! It's possible for all of these 4 scenarios to happen, albeit with differing odds and chances. Note that the numbers are, once again, the Top 10% and Bottom 10% values. For example, 29.37 flags saluted per person per day is Top 10%, 1.16 flags saluted per person per day is Top 90% / Bottom 10%. Anyway, going back to the relations and trends: The most common are nations that has low patriotism and yet has quite a high good food quality! Perhaps not being too loyal to the nation can produce good cuisine and food? Maybe the people grew beyond the national dish that might have been a little blend? It's all possible!

This was followed by High Patriotism, Low Food Quality, which I believe could be interpreted as such: You are so loyal and loving to the country (maybe even forced!) that you don't mind the bland food and the MREs. To preface, I have nothing against MREs, actually. In fact, I was kinda the weird guy who loves MREs in my army days. Going back, yes. Could be a military complex with a lot of loyal and loving people to the country, not a lot of priority on food. Or you can also see it as those countries that has cyborgs - programmed to obey, has bland food as their fuel.

And then we have High Patriotism and High Food Quality! This is one of the second rarest possibilities in terms of sheer numbers. Good and happy people who loves their country, along with good food! Maybe the people here aren't forced to love, that's a possibility. Good food, good living, and of course, "I love this country!"

And ironically the lowest but which I think it's pretty possible in a lot of places - Low Patriotism, Low Food Quality. People simply could not give a care about their country, and they have what is possibly the greyest and worst food / dining this side of NationStates. Could be a Dictatorship as well, whereby people are forced into work BUT they still have some degree of freedom to show their disdain for the place. Maybe the dictator feed on people's hatred. And of course, with bland work, comes bland food.

And now to compare these with population.

High Patriotism (> 29.37), High Food Quality (> 79.25), High Population (> 12,793,000,000): 1928 nations out of 245465.
High Patriotism (> 29.37), High Food Quality (> 79.25), Low Population (< 56,000,000): 0 nations out of 245465.

Low Patriotism (< 1.16), Low Food Quality (< 7.24), High Population (> 12,793,000,000): 463 nations out of 245465.
Low Patriotism (< 1.16), Low Food Quality (< 7.24), Low Population (< 56,000,000): 16 nations out of 245465.

High Patriotism (> 29.37), Low Food Quality (< 7.24), High Population (> 12,793,000,000.00): 1042 nations out of 245465.
High Patriotism (> 29.37), Low Food Quality (< 7.24), Low Population (< 56,000,000.00): 31 nations out of 245465.

Low Patriotism (< 1.16), High Food Quality (> 79.25), High Population (> 12,793,000,000.00): 1445 nations out of 245465.
Low Patriotism (< 1.16), High Food Quality (> 79.25), Low Population (< 56,000,000.00): 0 nations out of 245465.

You will need to wait a little for these categories, at least the Top 10% or Bottom 10% for either of the stats. Still, these are relatively new stats, so how do they fare against Issues Answered metric?

Which leads to comparison with Number of Issues Answered:

High Patriotism (> 29.37), High Food Quality (> 79.25), High Number Of Issues Answered (> 1,000): 3368 nations out of 245465.
High Patriotism (> 29.37), High Food Quality (> 79.25), Low Number Of Issues Answered (< 100): 131 nations out of 245465.

Low Patriotism (< 1.16), Low Food Quality (< 7.24), High Number Of Issues Answered (> 1,000): 356 nations out of 245465.
Low Patriotism (< 1.16), Low Food Quality (< 7.24), Low Number Of Issues Answered (< 100): 456 nations out of 245465.

High Patriotism (> 29.37), Low Food Quality (< 7.24), High Number Of Issues Answered (> 1,000): 2467 nations out of 245465.
High Patriotism (> 29.37), Low Food Quality (< 7.24), Low Number Of Issues Answered (< 100): 522 nations out of 245465.

Low Patriotism (< 1.16), High Food Quality (> 79.25), High Number Of Issues Answered (> 1,000): 1746 nations out of 245465.
Low Patriotism (< 1.16), High Food Quality (> 79.25), Low Number Of Issues Answered (< 100): 416 nations out of 245465.

So it's 3 out of 4 here. You will need to earn a lot of these trends. The second one is kinda a close ratio between each other, but it's something you can get with right amount and choices early-on.

* If I have not already, I would like to put a disclaimer that Number of Issues Answered, according to the NS Admins, is also a relatively new statistic. It wasn't there since the inception of NS, and thus the older nations and dates, like those Antique nations, will have wildly different numbers. Example:

So there you go. If you see yourself there and you still remember that the numbers are different, then yeaup, that was the reason why.

Thanks, and see you soon! Really, for this time. I can't promise a deadline, but I am still interested to do all this, and thus will do so! ♥

[Umbratellus]

And then we have High Patriotism and High Food Quality! This is one of the second rarest possibilities in terms of sheer numbers. Good and happy people who loves their country, along with good food! Maybe the people here aren't forced to love, that's a possibility. Good food, good living, and of course, "I love this country!"

Ain't that something, I feel like I'm part of quite the exclusive club now.

[Ayamakasu]

May I make a request? I'm wondering if there's a negative correlation between public healthcare and obesity.

[Valentine Z]

May I make a request? I'm wondering if there's a negative correlation between public healthcare and obesity.

Very late reply, but yes, I will add this in!

I'm ready to do more analysis! Will have to use the old data still, sorry. The trends will remain, just that it will be a little outdated in terms of numbers.

[Valentine Z]

Obesity vs Food Quality, requested by Trot! So, how will this fare? Previously, we have seen how the food quality can relate to patriotism, so now what about obesity? Is there a link, proportional or invest? Let’s look into it!

With density as the Z-axis:

Population as the Z-axis, all Linear-Linear:

Number of Issues Answered as the Z-axis, all Linear-Linear:

X-axis histograms:

Y-axis histograms:

X max: 1 - Tzo with x = 956.61 and y = 0.68.
X min: 1 - East Borland with x = 0.77 and y = 99.35.
Y max: 1 - Northern Borland with x = 1.07 and y = 99.56.
Y min: 2 - East Borland with x = 757.51 and y = 0.53.

X and Y relations:

High Food Quality (> 87.07), High Obesity (> 15.21): 763 nations out of 246097.
Low Food Quality (< 7.22), Low Obesity (< 6.95): 3109 nations out of 246097.
High Food Quality (> 87.07), Low Obesity (< 6.95): 23846 nations out of 246097.
Low Food Quality (< 7.22), High Obesity (> 15.21): 21231 nations out of 246097.

So, there it is! It's possible for all of these 4 scenarios to happen, albeit with differing odds and chances. Note that the numbers are, once again, the Top 10% and Bottom 10% values. The highest possibilities are on the inverse relationships, while the proportional ones are pretty rare. Do you ever wonder as to why? We can assume the reasoning! We will look at the inverse relations first, so the High-Low and Low-High, since they are a bit easier to talk.

High Food Quality + Low Obesity, this could mean that the food is so good, so delicious, and so nutritious, all the while people are able to keep their bellies slim and the like. Could be due to the great chefs, or as the stat says, living up to the name of good food in that there is none of those cheap substitutes to make you feel guilty all the way. This, in turn, leads to the opposite of food quality being awful, and with a lot of obese folks. Stereotypically, it could be just really bad junk food. Now, to preface and for clarification, I mean junk food and not fast food. Fast food CAN be pretty healthy if you eat in moderation, and the ingredients used are of high quality, see the one with the high food quality and low obesity. Looking back at the fourth trend, this is where you have a nation full of people eating low-quality preservative and artificially-flavored food, even slabs of fried chicken skin, if you really want to.

And of course, this leads to the next two parts: High Food Quality + High Obesity. Remember that part where we talk about food that is so good, so delicious, and so nutritious? Well, everything in moderation, still! Even if you love the great 5-star food, you will either need to exercise or eat in moderation. So, these are either populaces that either shove food up into their mouth constantly, or very rarely go for exercises. On the opposite end are those who eat very low-grade food, and have a low obesity rate. Once again, you can interpret this in multiple ways – they may be under a dictatorship and they get a set amount of ration; maybe a militaristic nation (not necessarily dictatorial) who had to deal with MREs and did a LOT of exercise; a malnourished nation that has very bad produces and no imports from anywhere else; a typical city or an urbanized nation with not very good food, and people who only eat to stave off hunger. Whichever way you go at this, there are many interpretations and creativity is your limit! Well, that, and how your nation is established. If you are Menta Lee-Il, then it’s clear that your slaves are malnourished!

And now to compare these with population.

High Food Quality (> 87.07), High Obesity (> 15.21), High Population (> 13,222,000,000): 280 nations out of 246097.
High Food Quality (> 87.07), High Obesity (> 15.21), Low Population (< 40,000,000): 0 nations out of 246097.

Low Food Quality (< 7.22), Low Obesity (< 6.95), High Population (> 13,222,000,000): 236 nations out of 246097.
Low Food Quality (< 7.22), Low Obesity (< 6.95), Low Population (< 40,000,000): 9 nations out of 246097.

High Food Quality (> 87.07), Low Obesity (< 6.95), High Population (> 13,222,000,000): 3505 nations out of 246097.
High Food Quality (> 87.07), Low Obesity (< 6.95), Low Population (< 40,000,000): 0 nations out of 246097.

Low Food Quality (< 7.22), High Obesity (> 15.21), High Population (> 13,222,000,000): 1227 nations out of 246097.
Low Food Quality (< 7.22), High Obesity (> 15.21), Low Population (< 40,000,000): 7 nations out of 246097.

Not a lot of starters. Yes, there are few, but not a lot. So, how do they fare against Issues Answered metric?

Comparison with Number of Issues Answered:

High Food Quality (> 87.07), High Obesity (> 15.21), High Number of Issues Answered (> 1,000): 389 nations out of 246097.
High Food Quality (> 87.07), High Obesity (> 15.21), Low Number of Issues Answered (< 100): 50 nations out of 246097.

Low Food Quality (< 7.22), Low Obesity (< 6.95), High Number of Issues Answered (> 1,000): 876 nations out of 246097.
Low Food Quality (< 7.22), Low Obesity (< 6.95), Low Number of Issues Answered (< 100): 199 nations out of 246097.

High Food Quality (> 87.07), Low Obesity (< 6.95), High Number of Issues Answered (> 1,000): 6097 nations out of 246097.
High Food Quality (> 87.07), Low Obesity (< 6.95), Low Number of Issues Answered (< 100): 404 nations out of 246097.

Low Food Quality (< 7.22), High Obesity (> 15.21), High Number of Issues Answered (> 1,000): 1567 nations out of 246097.
Low Food Quality (< 7.22), High Obesity (> 15.21), Low Number of Issues Answered (< 100): 564 nations out of 246097.

That’s not too bad! You CAN have these stats after a few careful issue answering, but for the most parts, those that are in the Top 10%’s are obviously those who answered issues more often.

Until next time! ^^