Source: Original Site Post
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35 Years: Upper 5% Males > Females Math, Females > Males Verbal
https://www.sciencedirect.com/science/article/pii/S0160289617301241?via%3Dihub(Again, my argument is that (((they))) have reversed sexual dimorphism and this accounts for (((their))) performance in articulating nearly anything – at the cost of female cognitive biases.) —“Sex differences in cognitive ability level and cognitive ability pattern or tilt (e.g., math > verbal) have been linked to educational and occupational outcomes in STEM and other fields. The present study examines cognitive ability tilt across the last 35 years in 2,053,265 academically talented students in the U.S. (SAT, ACT, EXPLORE) and 7119 students in India (ASSET) who were in the top 5% of cognitive ability, populations that largely feed high level STEM and other occupations. Across all measures and samples, sex differences in ability tilt were uncovered, favoring males for math > verbal and favoring females for verbal > math. As ability tilt increased, sex differences in ability tilt appeared to increase. Additionally, sex differences in tilt increased as ability selectivity increased. Broadly, sex differences in ability tilt remained fairly stable over time, were consistent across most measures, and replicated across the U.S. and India. Such trends should be carefully monitored given their potential to impact future workforce trends.”— -
35 Years: Upper 5% Males > Females Math, Females > Males Verbal
https://www.sciencedirect.com/science/article/pii/S0160289617301241?via%3Dihub(Again, my argument is that (((they))) have reversed sexual dimorphism and this accounts for (((their))) performance in articulating nearly anything – at the cost of female cognitive biases.) —“Sex differences in cognitive ability level and cognitive ability pattern or tilt (e.g., math > verbal) have been linked to educational and occupational outcomes in STEM and other fields. The present study examines cognitive ability tilt across the last 35 years in 2,053,265 academically talented students in the U.S. (SAT, ACT, EXPLORE) and 7119 students in India (ASSET) who were in the top 5% of cognitive ability, populations that largely feed high level STEM and other occupations. Across all measures and samples, sex differences in ability tilt were uncovered, favoring males for math > verbal and favoring females for verbal > math. As ability tilt increased, sex differences in ability tilt appeared to increase. Additionally, sex differences in tilt increased as ability selectivity increased. Broadly, sex differences in ability tilt remained fairly stable over time, were consistent across most measures, and replicated across the U.S. and India. Such trends should be carefully monitored given their potential to impact future workforce trends.”— -
The Baltics Survived Abrahamism the Longest: And They Preserve Our History
—-“Based on historical data, it is estimated that there are around 2500 sacred natural sites in Estonia, the largest of them covering up to 100 hectares. Although rather exceptional among most of the technologically developed countries, in Estonia both the sacred natural sites and indigenous customs connected to them are still in use. Therefore, the heritage that is connected to sacred natural sites has great importance to the national identity and environment of Estonians. In collaboration between followers of Estonian native religion (Maausk) and governmental ministries, a national plan was prepared in 2008: “Sacred Natural Sites in Estonia: Study and Conservation 2008–2012″ which includes about 550 hiis (sacred groves). The National Plan on Sacred Natural Sites consists of a historical overview about sacred natural sites in Estonia, a current situation analysis, and several concrete conservation measures and instructions on how to apply them. The coordinating steering committee of the Conservation Plan consist of Environment, Agriculture, Internal Affairs and Education and Research ministries, National Heritage Board and MK. The University of Tartu is the implementing agency. Measures of the Conservation Plan are designed to handle natural sanctuaries and values connected to them in all aspects. The Conservation Plan foresees creating a database which supports researching and managing natural sanctuaries. The database would consist of folkloric, archaeological, natural, historical and other data on sacred natural sites and provide information on the exact location, condition and form of ownership of each site.[13]”—-
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The Baltics Survived Abrahamism the Longest: And They Preserve Our History
—-“Based on historical data, it is estimated that there are around 2500 sacred natural sites in Estonia, the largest of them covering up to 100 hectares. Although rather exceptional among most of the technologically developed countries, in Estonia both the sacred natural sites and indigenous customs connected to them are still in use. Therefore, the heritage that is connected to sacred natural sites has great importance to the national identity and environment of Estonians. In collaboration between followers of Estonian native religion (Maausk) and governmental ministries, a national plan was prepared in 2008: “Sacred Natural Sites in Estonia: Study and Conservation 2008–2012″ which includes about 550 hiis (sacred groves). The National Plan on Sacred Natural Sites consists of a historical overview about sacred natural sites in Estonia, a current situation analysis, and several concrete conservation measures and instructions on how to apply them. The coordinating steering committee of the Conservation Plan consist of Environment, Agriculture, Internal Affairs and Education and Research ministries, National Heritage Board and MK. The University of Tartu is the implementing agency. Measures of the Conservation Plan are designed to handle natural sanctuaries and values connected to them in all aspects. The Conservation Plan foresees creating a database which supports researching and managing natural sanctuaries. The database would consist of folkloric, archaeological, natural, historical and other data on sacred natural sites and provide information on the exact location, condition and form of ownership of each site.[13]”—-
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Male and Female Loyalty Bias = Our Moral Bias
(women are devoted, and men are loyal) —“Men marry and fall I love with a women with the belief that he will be the most important part of her life. This is the start of the destruction of so many marriages. Once the female has children her first loyalty becomes those children. The males loyalty still lay with the female. This creates a dangerous dynamic were the Male tries increasingly to become the females first priority to no avail.”— Eric Bumpus
ADAPTABILITY VS LOYALTY: ECONOMICS OF RELATIONS MALE.........................FEMALE Greater Loyalty and .........Greater Adaptability and Lower Adaptability ..........Lower Loyalty
Evolution varied the same theme. We are compatible but we are neither identical nor equal. Therefore: I’m going to state it pejoratively: men mistakenly marry a wife under the presumption of the same priority he was treated by his mother. Women marry a husband with the presumption that her children will be given the same priority by the man as she gives them. Both of these are false presumptions. Men are loyal to tribe, fellows, wife, and children. Women are loyal to children to the exclusion of all others. This reflects genetic differences in morality. Males and conservatives tend to value all six Moral Dimensions relatively equally. Women and liberals tend to value Harm/Care almost exclusively. The fallacy of equality is one of the greatest catastrophes since the invention of false gods, and marxist pseudoscience.
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Male and Female Loyalty Bias = Our Moral Bias
(women are devoted, and men are loyal) —“Men marry and fall I love with a women with the belief that he will be the most important part of her life. This is the start of the destruction of so many marriages. Once the female has children her first loyalty becomes those children. The males loyalty still lay with the female. This creates a dangerous dynamic were the Male tries increasingly to become the females first priority to no avail.”— Eric Bumpus
ADAPTABILITY VS LOYALTY: ECONOMICS OF RELATIONS MALE.........................FEMALE Greater Loyalty and .........Greater Adaptability and Lower Adaptability ..........Lower Loyalty
Evolution varied the same theme. We are compatible but we are neither identical nor equal. Therefore: I’m going to state it pejoratively: men mistakenly marry a wife under the presumption of the same priority he was treated by his mother. Women marry a husband with the presumption that her children will be given the same priority by the man as she gives them. Both of these are false presumptions. Men are loyal to tribe, fellows, wife, and children. Women are loyal to children to the exclusion of all others. This reflects genetic differences in morality. Males and conservatives tend to value all six Moral Dimensions relatively equally. Women and liberals tend to value Harm/Care almost exclusively. The fallacy of equality is one of the greatest catastrophes since the invention of false gods, and marxist pseudoscience.
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Christianity does in fact produce mindfulness – as does and must, any religion.
Christianity does in fact produce mindfulness – as does and must, any religion. And mindfulness does in fact produce agency. The question is whether we can produce the same mindfulness but far greater agency if we retain the scientific (secular) content of the religion, reform the history, reform the lessons, reform the oath, and sacrifice/feast.
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Christianity does in fact produce mindfulness – as does and must, any religion.
Christianity does in fact produce mindfulness – as does and must, any religion. And mindfulness does in fact produce agency. The question is whether we can produce the same mindfulness but far greater agency if we retain the scientific (secular) content of the religion, reform the history, reform the lessons, reform the oath, and sacrifice/feast.
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The Post-Socialist Curse
THE POST-SOCIALIST CURSE: SPRINGFIELD->HARTFORD(->MERIDEN-NORTH HAVEN ->NEW HAVEN(->BRIDGEPORT->WATERBURY->DANBURY) 28. Springfield, Mass. Population: 154,079 Median home value: $154,300 Poverty rate: 24.7% Pct. with at least a bachelor’s degree: 18.0% Springfield is the only city in Massachusetts, and one of only three in the broader New England region, to rank among the worst cities to live in. Springfield’s 6.9% unemployment rate is the highest of any Massachusetts city and well above the 4.9% U.S. unemployment rate. The high jobless rate exacerbates financial hardship in the city. About one in every four Springfield residents live below the poverty line, the highest poverty rate of any city in the state. As is the case with most cities on this list, real estate is relatively inexpensive in Springfield. The typical home is worth $154,300, the lowest median home value of any city in the state and less than half the median home value of $366,900 across Massachusetts. 11. Hartford, Conn. Population: 123,287 Median home value: $161,200 Poverty rate: 27.3% Pct. with at least a bachelor’s degree: 16.8% Hartford is the worst city to live in in both Connecticut and the broader New England region. The typical Hartford household earns $36,637 a year, less than half the median income in Connecticut of $73,433. Low-income individuals in the city are put under additional financial strain as goods and services are 17.3% more expensive in the city than they are on average nationwide. A bleak jobs picture in the city is partially to blame for the low median income. Some 9.4% of workers are out of a job, the largest share in New England and nearly double the 4.9% 2016 annual U.S. unemployment rate. The city’s poor economic conditions may be driving people out of Hartford. In the last five years, Hartford’s population shrank by 1.3% even as the national population increased by 3.7%. 39. New Haven, Conn. Population: 129,939 Median home value: $191,000 Poverty rate: 24.5% Pct. with at least a bachelor’s degree: 32.4% New Haven is one of two Connecticut cities to rank among the worst cities to live in nationwide. The city’s 6.6% unemployment rate is higher than both the state jobless rate of 5.1% and the national rate of 4.9%. The weak job market likely only increases financial hardship for some city residents as it is not a particularly inexpensive place to live. Goods and services in New Haven County are about 16.5% more expensive than they are on average nationwide. New Haven is not an especially safe city. There were 938 violent crimes for every 100,000 city residents in 2016, more than double the national violent crime rate of 386 per 100,000.
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The Post-Socialist Curse
THE POST-SOCIALIST CURSE: SPRINGFIELD->HARTFORD(->MERIDEN-NORTH HAVEN ->NEW HAVEN(->BRIDGEPORT->WATERBURY->DANBURY) 28. Springfield, Mass. Population: 154,079 Median home value: $154,300 Poverty rate: 24.7% Pct. with at least a bachelor’s degree: 18.0% Springfield is the only city in Massachusetts, and one of only three in the broader New England region, to rank among the worst cities to live in. Springfield’s 6.9% unemployment rate is the highest of any Massachusetts city and well above the 4.9% U.S. unemployment rate. The high jobless rate exacerbates financial hardship in the city. About one in every four Springfield residents live below the poverty line, the highest poverty rate of any city in the state. As is the case with most cities on this list, real estate is relatively inexpensive in Springfield. The typical home is worth $154,300, the lowest median home value of any city in the state and less than half the median home value of $366,900 across Massachusetts. 11. Hartford, Conn. Population: 123,287 Median home value: $161,200 Poverty rate: 27.3% Pct. with at least a bachelor’s degree: 16.8% Hartford is the worst city to live in in both Connecticut and the broader New England region. The typical Hartford household earns $36,637 a year, less than half the median income in Connecticut of $73,433. Low-income individuals in the city are put under additional financial strain as goods and services are 17.3% more expensive in the city than they are on average nationwide. A bleak jobs picture in the city is partially to blame for the low median income. Some 9.4% of workers are out of a job, the largest share in New England and nearly double the 4.9% 2016 annual U.S. unemployment rate. The city’s poor economic conditions may be driving people out of Hartford. In the last five years, Hartford’s population shrank by 1.3% even as the national population increased by 3.7%. 39. New Haven, Conn. Population: 129,939 Median home value: $191,000 Poverty rate: 24.5% Pct. with at least a bachelor’s degree: 32.4% New Haven is one of two Connecticut cities to rank among the worst cities to live in nationwide. The city’s 6.6% unemployment rate is higher than both the state jobless rate of 5.1% and the national rate of 4.9%. The weak job market likely only increases financial hardship for some city residents as it is not a particularly inexpensive place to live. Goods and services in New Haven County are about 16.5% more expensive than they are on average nationwide. New Haven is not an especially safe city. There were 938 violent crimes for every 100,000 city residents in 2016, more than double the national violent crime rate of 386 per 100,000.