Google parent company Alphabet announced its fifth quarter in a row of record profits ($18.9 billion) and second straight quarter of record revenue ($65.1 billion) in October, but a company executive told employees that Google wouldn’t automatically adjust their salaries to account for inflation. According to CNBC, Google’s VP of compensation Frank Wagner told employees at a company all-hands meeting on December 7th that Google doesn’t “have any plans to do any type of across-the-board type adjustment” when asked about the inflation rate in the US.

https://www.cnbc.com/2021/12/09/google-execs-tell-employees-they-wont-raise-pay-to-match-inflation.html

At least this manufacturer is fully honest.

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Income of real economy

Shenzhen should be one of the most difficult cities to buy a house. According to data, the housing price-to-income ratio in Shenzhen has exceeded 40. Under such circumstances, ordinary people can only afford a house if they save money all the time from the beginning of their work to retirement age. Because since the end of 2019, the housing prices in Shenzhen have been rising, and then they rose so much so city took first place in the country. Even at the beginning of this year, the average housing prices in Shenzhen once exceeded 90,000 yuan! But recently, the housing prices in Shenzhen have dropped significantly.

According to data from China House Price Market, the average house price in Shenzhen in October was only 65,724 yuan per square meter, ranking third in the country. As the housing price is still very high, but compared with the price of over 90,000 yuan in Shenzhen at the beginning of the year, the price is already much cheaper. So the question is, as a first-tier city with strong economic strength, why did Shenzhen's housing prices fall so drastically?

In my opinion, the very important reason why housing prices in Shenzhen will appear is the guiding price policy for second-hand housing. Since Shenzhen issued a document on February 7 to establish guidance prices for second-hand houses in more than 3,000 communities in the city, the price of second-hand houses in Shenzhen has fallen sharply. It is said that the prices of some residential areas have fallen by almost half compared to the previous ones. Under such circumstances, it is normal for the housing prices in Shenzhen to fall to more than 60,000.

https://baijiahao.baidu.com/s?id=1715840767601834857&wfr=spider&for=pc&searchword=%E6%B7%B1%E5%9C%B3%E6%88%BF%E4%BB%B7%E4%B8%8B%E9%99%8D

Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. We investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1,099 typically developing individuals between 3 and 20 years of age. Income was logarithmically associated with brain surface area. Among children from lower income families, small differences in income were associated with relatively large differences in surface area, whereas, among children from higher income families, similar income increments were associated with smaller differences in surface area. These relationships were most prominent in regions supporting language, reading, executive functions and spatial skills; surface area mediated socioeconomic differences in certain neurocognitive abilities. These data imply that income relates most strongly to brain structure among the most disadvantaged children.

The tests showed that participants in the experiment from poor families read worse, concentrate, remember and have less vocabulary. Noble concludes that by the age of two, the differences in the brains of the rich and the poor are noticeable. On average, the cognitive test scores of a child from a family in need will be 60% lower. There is also evidence that financial pressures reduce gray matter and interfere with the connected work of different parts of the brain. In addition, chronic stress negatively affects the functioning of the hippocampus and amygdala, which are responsible for memory and emotional responses.

https://www.nature.com/articles/nn.3983