Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
The rank order spearman correlation shows even stronger relationships. The Spearman rank correlation indicates that about 14% of the difference in median household income ranks can be explained by population ranks, meaning that counties that rank higher in…
That method gets at the monotonic relationship between the two variables by eliminating the bias of outliers like counties with extremely large cities and eliminating the assumption of a linear relationship.
In what way is the relationship non-linear? If it tends to shift more at higher points of population, then the takeaway would be to stay away from the biggest counties. If it shifts more at the lower points of population, then it suggests living in very small counties might be the way to go. What do we find?
In what way is the relationship non-linear? If it tends to shift more at higher points of population, then the takeaway would be to stay away from the biggest counties. If it shifts more at the lower points of population, then it suggests living in very small counties might be the way to go. What do we find?
Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
That method gets at the monotonic relationship between the two variables by eliminating the bias of outliers like counties with extremely large cities and eliminating the assumption of a linear relationship. In what way is the relationship non-linear? If…
The shift occurs mostly at the bottom end. That is, the least populous counties tend to be incredibly cheap compared to more populated counties.
Here I've provided two charts, the first contains most of the data but does exclude the largest population outlier (by zooming in, not by removing it from the pool), whereas the second zooms in on the area in which most of the change occurs.
a note: the r^2 value of the trend line is about 0.43, which shows a relationship ever so slightly stronger than the Spearman Rank correlation mentioned previously.
Here I've provided two charts, the first contains most of the data but does exclude the largest population outlier (by zooming in, not by removing it from the pool), whereas the second zooms in on the area in which most of the change occurs.
a note: the r^2 value of the trend line is about 0.43, which shows a relationship ever so slightly stronger than the Spearman Rank correlation mentioned previously.
Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
The shift occurs mostly at the bottom end. That is, the least populous counties tend to be incredibly cheap compared to more populated counties. Here I've provided two charts, the first contains most of the data but does exclude the largest population outlier…
In examining the interplay between county population size and various economic metrics, a nuanced narrative emerges. While densely populated areas may offer higher earning opportunities, they come coupled with a disproportionately steeper cost of living. On the other hand, less populous counties present a more economically advantageous scenario, characterized by modest incomes but substantially lower living costs. Interestingly, despite population size's influence on income and cost of living, it demonstrates minimal predictive power over unemployment rates. Notably, the diminished earnings in these smaller counties are more than offset by the significant savings in living expenses. This paints a clear picture: for those prioritizing financial well-being and seeking to maximize the value of their income, smaller counties present a distinct economic advantage. The overarching lesson is clear: the allure of small county living is underpinned by its economic efficiency, not marred by unemployment, and promises a more balanced financial life."
Forwarded from TG Chess Classic
Our next free chess tournament for right wing Telegram schizos is next weekend
On October the 28th, at 12:30 PM EST, we'll be competing for a $50 first place prize, and those under certain rating thresholds have the chance to win free lessons with a professional coach.
The time control will be 15 minutes with a 10 second increment. There will be 7 rounds.
To join our tournament, you must first create a LiChess account. After that, or if you already have an account, you must join our club by clicking here, pressing the "join team" button, and then using club password "Nigger". After you're on the team, you'll be able to sign up for the tournament here.
Best of luck, everyone!
On October the 28th, at 12:30 PM EST, we'll be competing for a $50 first place prize, and those under certain rating thresholds have the chance to win free lessons with a professional coach.
The time control will be 15 minutes with a 10 second increment. There will be 7 rounds.
To join our tournament, you must first create a LiChess account. After that, or if you already have an account, you must join our club by clicking here, pressing the "join team" button, and then using club password "Nigger". After you're on the team, you'll be able to sign up for the tournament here.
Best of luck, everyone!
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This might be the worst thing I've ever seen. I thought I disliked the rich faggot Mount Everest climbing industry. But this is on a whole nother level
Forwarded from TG Chess Classic
Our next free chess tournament for right wing Telegram schizos starts soon.
Today, at 12:30 PM EST, we'll be competing for a $50 first place prize, and those under certain rating thresholds have the chance to win free lessons with a professional coach.
The time control will be 15 minutes with a 10 second increment. There will be 7 rounds.
To join our tournament, you must first create a LiChess account. After that, or if you already have an account, you must join our club by clicking here, pressing the "join team" button, and then using club password "Nigger". After you're on the team, you'll be able to sign up for the tournament here.
Best of luck, everyone!
Today, at 12:30 PM EST, we'll be competing for a $50 first place prize, and those under certain rating thresholds have the chance to win free lessons with a professional coach.
The time control will be 15 minutes with a 10 second increment. There will be 7 rounds.
To join our tournament, you must first create a LiChess account. After that, or if you already have an account, you must join our club by clicking here, pressing the "join team" button, and then using club password "Nigger". After you're on the team, you'll be able to sign up for the tournament here.
Best of luck, everyone!
Visualization of the relationship between population size and unemployment rate among US places. Noteworthy that the unemployment rate isn't the clearest metric, but it's the best that we have access to at this scale, or at least that I know of.
The relationship between the two appears to be incredibly small. What does exist seems to come from the existence of some less populated areas with significantly higher unemployment. However, even in places with less than 1,000 people, most places still have roughly the same level of unemployment, which seems to cluster around the same spot regardless of population size.
Note: all data is from the 2021 5-year American Community survey from the Census. Places with zero population were removed. After that, there were around 50 places left that lacked unemployment data, and so were removed.
The relationship between the two appears to be incredibly small. What does exist seems to come from the existence of some less populated areas with significantly higher unemployment. However, even in places with less than 1,000 people, most places still have roughly the same level of unemployment, which seems to cluster around the same spot regardless of population size.
Note: all data is from the 2021 5-year American Community survey from the Census. Places with zero population were removed. After that, there were around 50 places left that lacked unemployment data, and so were removed.
Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
Visualization of the relationship between population size and unemployment rate among US places. Noteworthy that the unemployment rate isn't the clearest metric, but it's the best that we have access to at this scale, or at least that I know of. The relationship…
Recalculated the results with JUST the 1-1,000 data, to see how clear the trend is down there.
The relationship at the low levels exclusively appears to be about 20x stronger. The whole of the data has an r^2 of 0.00003, while just the 1-1,000 dataset has an r^2 of 0.0006.
Still very small relationship, though.
The relationship at the low levels exclusively appears to be about 20x stronger. The whole of the data has an r^2 of 0.00003, while just the 1-1,000 dataset has an r^2 of 0.0006.
Still very small relationship, though.
Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
Recalculated the results with JUST the 1-1,000 data, to see how clear the trend is down there. The relationship at the low levels exclusively appears to be about 20x stronger. The whole of the data has an r^2 of 0.00003, while just the 1-1,000 dataset has…
There is a bit stronger, though still r^2 <0.01, of a relationship if you limit the data to just places with more than 100K people.
But it goes in the direction contrary to expectations; bigger cities have SLIGHTLY MORE unemployment.
Weird.
(Do note the change in vertical scale)
(NYC is in the data but off the right edge of the chart)
But it goes in the direction contrary to expectations; bigger cities have SLIGHTLY MORE unemployment.
Weird.
(Do note the change in vertical scale)
(NYC is in the data but off the right edge of the chart)
Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
There is a bit stronger, though still r^2 <0.01, of a relationship if you limit the data to just places with more than 100K people. But it goes in the direction contrary to expectations; bigger cities have SLIGHTLY MORE unemployment. Weird. (Do note the…
I may gimmick an alternative metric trying to use something like an age-adjusted employment rate to try to look at this from a different angle, but that's a project for another day
Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
Finding Consolidation with Boethius: Navigating Injustice in a Modern Age In the early 6th century, Boethius, once an esteemed Roman statesman and philosopher, was wrongfully imprisoned and stood on the precipice of execution. Amidst this profound injustice…
Next Sunday evening, our book club covering Boethius' Consolation of Philosophy, a guide to finding peace amidst adversity, will begin. If this sounds interesting to you, see the above post for details.
Forwarded from Timothy Edgren
What I wonder is what the definition of unemployment is, and whether society's definition really is a meaningful one at all. I suspect it is not
Dull Academic Incessant Liturgical Yapping: Philosophical Orations on Order & Reaction
What I wonder is what the definition of unemployment is, and whether society's definition really is a meaningful one at all. I suspect it is not
My thought is that it probably captures a portion of what you'd want it to. And that portion has a big overlap with what we are interested in.
So, the unemployment statistic measures the percentage of the labor force that is jobless and actively seeking employment. It represents the number of people who are willing and able to work but cannot find a job and have not given up and stopped looking.
When we talk about this stuff, what we're asking about is mostly "can I find a job there?", right? So, that this excludes folks who choose to live as NEETS or off welfare shouldn't bother us. The portion that is of concern is folks who want to work but are so blackpilled that they stop trying. We'd prefer it to measure those guys, but it doesn't
So, the unemployment statistic measures the percentage of the labor force that is jobless and actively seeking employment. It represents the number of people who are willing and able to work but cannot find a job and have not given up and stopped looking.
When we talk about this stuff, what we're asking about is mostly "can I find a job there?", right? So, that this excludes folks who choose to live as NEETS or off welfare shouldn't bother us. The portion that is of concern is folks who want to work but are so blackpilled that they stop trying. We'd prefer it to measure those guys, but it doesn't