FOOTNOTES!!
First off, you can view the questions and the smart ass data.
This was easily the most contentious question, the concept does not translate well cross-culturally, and the best definitions I could find were very US-centric. So apply an entire shaker of salt to this set of data.
Edit ― I borked the radio buttons and forgot working poor, as I can't add it now, if that fits you, check whichever fits best (probably either working class of lower class). Sorry!
All monetary amounts in USD, and definitions are combination of Dennis Gilbert, 2002; William Thompson & Joseph Hickey, 2005; Leonard Beeghley, 2004.
Upper Class ― Top-level executives, high-rung politicians, celebrities, heirs. Ivy League education common; income of $500,000+ common.
Upper Middle Class ― Highly-educated (often with graduate degrees), most commonly salaried, professionals and middle management with large work autonomy. Household incomes varying from the high 5-figure range to commonly above $100,000.
Middle Class ― College-educated workers with considerably higher-than-average incomes and compensation. Semi-professionals and craftsmen with some work autonomy and a roughly average standard of living. Most have some college education and are white-collar. Incomes commonly range from $35,000 to $75,000.
Working Class ― Clerical and most blue-collar workers whose work is highly routinized, often have low job security. Standard of living varies depending on number of income earners, but is commonly just adequate; common household incomes range from $16,000 to $30,000. High school education.
Working Poor ― Service, low-rung clerical and some blue-collar workers. High economic insecurity and risk of poverty. Some high school education. Poverty line.
Lower Class ― Those who occupy poorly-paid positions, limited or no participation in labor force or rely on government transfers. Some high school education. Income below poverty line.
A crash course in the statistical concepts you’ll need (no math, just words) ―
Average, you should know this one already, add the data up, divide by the number of data points, simple.
Standard deviation, also fairly simple to understand. The part you do need to know is that it’s a measure of how spread out the data is. Forty and sixty average to 50, so do 0 and 100, the later has a larger standard deviation.
Outliers are just data point that vary widely from the average.
Skewed data is data that isn’t the nice bell curve we’re familiar with. See, for example, the graph of our ages, we skew toward the young side of things.
Correlation, is not causation, but it is a measure of whether two variables are related. Time for one of my ice cream examples! Ice cream sales are negatively correlated with flu deaths, meaning that as ice cream sales increase, flu deaths decrease. So ice cream protects you from the flu right? No, obvious thing is obvious ― the temperature outside is the causal factor here. Temperature here could also be called a third variable ― the factor actually causing the correlation. So when you get to the correlations below, bear in mind that there may be other variables at work, or may not, correlations don’t tell us that sort of thing! Down side is you can only use correlations for certain types of data, and things that go in categories isn’t one of them.
Negative correlations are when one thing goes up while the other goes down, positive correlations go up (or down, it’s weird) together. The stronger the correlation, the more the things in question are in agreement.
Chi-squares are a test for statistical significance that compares one set of data to another. You take what you’d expect to find, and compare it to what you did find. The greater the difference between the two, the less likely it is that the difference is caused by chance. This is one of the things you can do with data that comes in categories ― compare the differences between the categories.
P is for probability, as in, the probability that the thing in question was not caused by random chance.
And I think that’s it! I’m always around Manboobz so just comment if you need more info!
First, for all the “check any questions”, I calculated the average and standard deviation, and labelled anything more than two standard deviations from the mean an outlier. As the data is highly skewed, I calculated the skew (using excel’s skew function) and multiplied it by 150%; except in the case of ethnicity, where I used 75% as the skew was 20~ and there were 27 options. Anything outside that range I highlighted as “an interesting outlier”. The reason for this difference was that the data was so skewed that in many cases there were mathematical outliers that were clearly honest answers — e.g. disabled (un)employed students.
That done, I figured out how many boxes one would have to check to have checked more than 75% of the options, and labelled those as possible trolls. So at that point we had three lists — mathematical outliers, interesting outliers, and possible trolls. I assigned a number of 1-3 to each option and figured out how many times each survey was an outlier (of any sort).
Then I assigned every survey that was any sort of outlier an “outlier score” by multiplying the number of outliers on the survey by the number assigned above. Those scores ranged from 1 (lots of ones) to 119. Then I determined which of the “outlier scores” were outliers using the average and standard deviation method, but excluding the 119 as it was more than twice the second highest “outlier score” and made only those two into true outliers. Having excluding that obvious outlier, and calculated the average and standard deviation on the rest of the “outlier scores”, and ended up with five surveys that were outliers among outliers — I excluded them from the results as they appeared to be trolls.
The actual values are in a spreadsheet.
Only acceptance by peers and in general showed a very strong correlation, also, acceptance by peers and in general showed a strong correlation to acceptance at Manboobz. Whether we're religious is moderately correlated with acceptance by peers and in general, and weakly correlated with acceptance at Manboobz. The affect of our religious upbringing is weakly correlated with acceptance by peers and at Manboobz.
There’s a weak correlation between class and education, but see above regarding the question about socio-economic class.
There was no correlation between:
Being Political & Acceptance By Peers, or At Manboobz, or In General
Age & Acceptance By Peers, or At Manboobz, or In General
Being A Regular Here & Acceptance By Peers, or At Manboobz, or In General
Living In An Urban Area & Acceptance By Peers, or At Manboobz, or In General
Education & Acceptance By Peers, or At Manboobz, or In General
Class & Acceptance By Peers, or At Manboobz, or In General
Affect of Religious Upbringing & Acceptance In General
...I think it’s all in the charts actually.
The expected ethnicities were calculated as weighted averages of the ethnic data for the countries we got responses from…after a lot of guesswork. The categories reddit and the r/mr subreddit used are so US-centric that it's almost funny. Even bearing that in mind though, we're more white that would be expected.
Here are the categories and combinations which were selected by one person:
• African -- North African
• African -- South African; White -- all others
• Asian -- East Asian; White -- European
• Asian -- South Asian; Multiracial -- white
• Black -- Caribbean; Multiracial -- white
• Black -- all others; Native American -- North America
• Black -- all others; Multiracial -- white
• Hispanic -- white; White -- European
• Hispanic -- white; Multiracial -- white
• Hispanic -- white; Other
• Hispanic -- Caribbean; Hispanic -- European
• Hispanic -- Mexican; Latin@
• Hispanic -- Mexican; Other
• Hispanic -- Central American (non-Mexican); White -- European
• Indian; Multiracial -- white
• Latin@; Multiracial -- white
• Middle Eastern; Multiracial -- white
• Pacific Islander (including indigenous Australian); White -- European
• Pacific Islander (including indigenous Australian); Multiracial -- white
• Multiracial -- PoC; Other
• Hispanic -- white; Hispanic -- Caribbean; Hispanic -- European; Multiracial -- white
• Asian -- East Asian; White -- European; Multiracial -- PoC
• Asian -- South Asian; White -- European; Multiracial -- PoC
• Black -- all others; Native American -- North America; White -- European
• Black -- Caribbean; White -- European; Multiracial -- PoC
• Hispanic -- Caribbean; Hispanic -- South American; Latin@
• Hispanic -- European; Middle Eastern; Other
• Hispanic -- European; White -- European; Multiracial -- white
• Hispanic -- Mexican; Multiracial -- white; Multiracial -- PoC
• Hispanic -- South American; Hispanic -- European; White -- European
• Hispanic -- South American; White -- European; Multiracial -- white
• Hispanic -- white; Hispanic -- South American; Latin@
• Indian; White -- European; Multiracial -- white
• Middle Eastern; White -- European; Multiracial -- white
• White -- European; White -- all others; Multiracial -- white
• Asian -- East Asian; Native American -- North America; White -- European; Multiracial -- white
• Asian -- East Asian; White -- European; Multiracial -- white; Multiracial -- PoC
• Hispanic -- white; Hispanic -- South American; Native American -- South America; Multiracial -- PoC
• Hispanic -- white; Hispanic -- South American; White -- European; White -- all others
• Indian; White -- European; White -- all others; Other
• Latin@; White -- all others; Multiracial -- white; Other
• Native American -- North America; White -- European; White -- all others; Multiracial -- white
• Hispanic -- white; Hispanic -- European; White -- European; Multiracial -- white; Multiracial -- PoC
• Cajun; Native American -- North America; White -- European; White -- all others; Multiracial -- white
• Hispanic -- Caribbean; Latin@; White -- European; Multiracial -- white; Multiracial -- PoC
• Black -- Caribbean; Black -- all others; Cajun; Hispanic -- European; Native American -- North America; White -- European; Multiracial -- PoC
• African -- South African; Asian -- East Asian; Asian -- South Asian; Asian -- all others; Black -- Caribbean; Black -- all others; Hispanic -- white; Hispanic -- Caribbean; Hispanic -- Mexican; Hispanic -- Central American (non-Mexican); Middle Eastern; Native American -- South America; White -- all others; Multiracial -- white; Multiracial -- PoC; Other Indigenous
The following aren't listed because no one specified that category as a belief they were raised with ― African Traditional & Diaspora, Hinduism, Oceania/Pacific Aboriginal. Religions of American Indigenous peoples was excluded as the one person who was raised with a belief in the category did not change beliefs. Other religions was excluded as 8 of the 9 people who were raised with beliefs in that category did not change beliefs, and the other person didn't specify their current beliefs.
Here are the categories and combinations which were selected by three people:
• Christianity; Parody & Mock Religions
• Christianity; Other religious
• Buddhism; Non-religious // Secular; Parody & Mock Religions
• Buddhism; Christianity; Non-religious // Secular; Pagan & Left Hand Religions
• Christianity; Non-religious // Secular; Other religious; Pagan & Left Hand Religions
The ones selected by two people:
• Religions of American Indigenous peoples
• Christianity; Judaism
• Buddhism; Non-religious // Secular; Other religious
• Buddhism; Non-religious // Secular; Pagan & Left Hand Religions
• Other religious; Pagan & Left Hand Religions; Parody & Mock Religions
And finally, the ones selected by one person:
• Other religious & Religions of American Indigenous peoples
• Non-religious // Secular & Religions of American Indigenous peoples
• Judaism & Pagan & Left Hand Religions
• Hinduism & Pagan & Left Hand Religions
• Hinduism & Other religious
• Buddhism & Other religious
• Buddhism & Hinduism
• African Traditional & Diaspora & Non-religious // Secular & Pagan & Left Hand Religions
• Buddhism & Pagan & Left Hand Religions & Religions of American Indigenous peoples
• Buddhism & Other religious & Pagan & Left Hand Religions
• Buddhism & Other religious & Religions of American Indigenous peoples
• Buddhism & Christianity & Judaism
• Buddhism & Christianity & Non-religious // Secular
• Buddhism & Christianity & Other religious
• Christianity & Pagan & Left Hand Religions & Religions of American Indigenous peoples
• Christianity & Non-religious // Secular & Other religious
• Christianity & Non-religious // Secular & Parody & Mock Religions
• Judaism & Other religious & Pagan & Left Hand Religions
• Judaism & Non-religious // Secular & Pagan & Left Hand Religions
• Other religious & Pagan & Left Hand Religions & Religions of American Indigenous peoples
• Christianity & Judaism & Non-religious // Secular & Other religious
• Non-religious // Secular & Other religious & Pagan & Left Hand Religions & Parody & Mock Religions
• Buddhism & Other religious & Pagan & Left Hand Religions & Parody & Mock Religions
• Buddhism & Other religious & Pagan & Left Hand Religions & Parody & Mock Religions & Religions of American Indigenous peoples
• Buddhism & Christianity & Hinduism & Other religious & Pagan & Left Hand Religions
• Christianity & Non-religious // Secular & Other religious & Pagan & Left Hand Religions & Parody & Mock Religions
Here's the list of beliefs <4 people were raised with, count is in parenthesis:
• Christianity; Non-Religious // Secular; Pagan & Left Hand Religions (3)
• Christianity; Judaism; Non-Religious // Secular (1)
• Christianity; Pagan & Left Hand Religions; Parody & Mock Religions (1)