Farmers vs Government: The Benefits and Limits of Democratic Redistribution

In its period of rapid economic growth, Indian democracy was successful in redistributing gains from urban centered, globalization led growth to the rural agrarian economy. The redistribution of available economic and administrative resources among competing groups is a primary concern of democratic politics. The situation is very different in non-democratic polities. In the figure below, we see that during globalization led growth, the ratio of per worker agrarian income to overall per capita GDP drops to less than a half in China and Vietnam, while it remained above or close to one in India and Indonesia. In other words, agrarian workers in one-party China and Vietnam became relatively poorer while their country became richer, agrarian workers in India and Indonesia did not incur a relative disadvantage.

Ratio of agricultural income per worker to overall GDP per capita for four Asian countries. In democratic, farmer majority India, the rural populace could always command a major share of the state’s redistributive efforts. After an initial decline from 1.4 to 1.0, the ratio in India stabilizes. In one-party China and Vietnam, the emphasis is on efficient agricultural production, not producers, and resources are invested heavily in urban areas.

In India the vast rural population with more than a century long experience in political mobilization, has pushed governments to spend money in rural areas. Redistribution has occurred via irrigation projects, rural roads, NREGA, subsidies, loan waivers and recently, direct income transfers. Any negative externality arising from agrarian activity has been borne by urban residents (eg: Delhi smog) but farmers were not penalized. Aside from rural-urban dynamics, democratic redistribution has led to a spatial equalization of agricultural productivity across the country.

Left image is district wise agricultural productivity in 2005. Since then, as the right image shows, agricultural growth has been concentrated in the most backward areas (dark red on left). The primary drivers have been irrigation projects and rural roads.

Though the condition of Indian cities is depressing, the upshot of a democracy dominated by the rural majority is comfortable food security. In fact, even though India’s use of pesticide is quite low by global standards, and its agricultural yields, cold-chain infrastructure sub-par, it has become a major net agricultural exporter. This is in huge contrast to China which has become a massive net importer of food. This is an important strategic advantage for India.

Net agricultural trade balance for India and China since 1961. China reverts to a net import situation as soon as its economy starts booming in the 1990s. in contrast India’s exports zoom in its period of economic growth.

There are signs, though, that India’s redistribution toolkit might be reaching the limits of its efficiency. Concurrently, a more reformist Indian government, awash with surplus grain, wants to re-orient farmers towards higher return crops or even an exit from farming. An urbanising electorate may also not be as willing to redistribute their hard earned tax monies towards their rural co-citizens.

The reorientation of the Punjab-Haryana farmer away from rice and wheat will require tact and persuasion, not ordinance fiat. The set patterns are very comfortable from the economic (MSP + diaspora remittances + armed forces recruitment) and psychological (we feed and secure the nation) perspective. The simple promise of higher incomes might not convince historically agrarian communities who havent fully embraced the money economy.

The Prime Minister has proven to be a masterful communicator. We have not yet seen the same skill in his dealings with the farmers. The approach there has oscillated between genuflection and disregard. The potential is there for the 200000 sq. km tract of well irrigated, fertile land in India’s north west to become the new California Central Valley (47,000 sq km). India can then become the land that greatly increases global access to premium agro-products like fresh, dry fruits and vegetarian protein. The latter (beef-mukt world) will also resonate with many urban supporters of the government and even the farmers themselves.


Rwandan miracle–Asian Tiger of Africa


The world breaks down into three major factions:
——post modernists (psychotic in need of urgent medical services)
——“non post modernists and non Islamists”
Can Rwanda, the Asian Tiger of Africa, inspire and lead the global “non post modernists and non Islamists”? Can Rwanda inspire and lead the globalists?


American Caste (b)

America has a national crisis in math capacity, competence and merit. American students sharply underperform students in many countries all over the world. Including Vietnam, which is a poorer country than India per capita. We will heavily refer to the 2018 OECD PISA report in below paragraphs, but the below chart graphic is from the 2015 OECD PISA scores report because math scores are reported for more countries in the 2015 report. Perhaps the 2018 report will be revised to add more countries in the future:

In my view  a level 5 PISA score is the minimum requirement for a person to be considered a high school graduate who is literate in math, able to function in the modern global economy, or be qualified to attend college. The PISA report defines a level 5 PISA score or better as a fifteen year old that “can model complex situations mathematically, and can select, compare and evaluate appropriate problem-solving strategies for dealing with them.” How does America perform in the 2018 PISA report?:

  • United States: 8% of students scored at Level 5 or higher in mathematics
  • OECD average: 11%
  • Six Asian countries and economies had the largest shares of students who did so:
    • Beijing, Shanghai, Jiangsu and Zhejiang (China): 44%
    • Singapore: 37%
    • Hong Kong (China): 29%
    • Macao (China): 28%
    • Chinese Taipei: 23%
    • Korea: 21%

Note that these six countries were among the poorest countries in the world in the 1950s, far poorer than poor Americans or poor Europeans or poor Chileans can even imagine. In 1979 China was unbelievably poor. Much of the population of China–perhaps as many as 100 million–had starved to death because of extreme poverty in the 1970s. Poor children around the world are outperforming American children in mathematics despite extremely low education spending per student and very low socio-economic level of their legal guardians, where socio-economic level is defined as:

  • income
  • wealth
  • formal education of parents

Do any American high school student subgroups perform well in Mathematics? Yes, “people of color” or “minority” Americans perform well in Mathematics. America’s “people of color” or “minority” students are orders of magnitude more likely to get an 800 on the mathematics SAT than European Americans. If we assume this is an extreme tail end distribution issue related to European Americans having a lower standard deviation and non standard distribution in mathematics performance relative to “people of color” or “minority” Americans, we can explore the breakdown of Americans who score between 750 and 800 on the Mathematics SAT. Here European Americans perform far better relative to “people of color” or “minority” Americans.  In 2015 16,000 European Americans scored 750 or higher. 33,000 “people of color” and “minority” Americans scored 750 or higher. We further know that 51% of SAT test takers were European Americans and 49% were “people of color” or “minority” Americans.  “People of color” or “minority” Americans are [33,000/16,000]*[51%/49%] or 2.15 times as likely to score 750 or higher on the mathematics SAT compared to European Americans.  If we examine the 107,900 test takers who got SAT math scores of 700 or higher; 59,900 are “people of color” or “minority” Americans, versus 48,000 European Americans. “People of color” or “minority” Americans are [59,900/48,000]*[51%/49%] or 1.30 times as likely to score 700 or higher on the mathematics SAT compared to European Americans. For data junkie geeks like me there is a lot more data on SAT math score distributions here and here. The Greta Anderson article’s comment section in particular has some very intelligent commentators who have studied the American SAT score distribution. This is likely to be the subject of many future blog posts and Brown Pundits Podcasts.

What about this is worrying?:

  1. European Americans in particular are sharply under-performing both very poor children around the world and “people of color” and “minority” Americans in mathematics.
  2. American mathematics SAT scores have fallen between 1972 and 2016. 1972 is the earliest year for which I could find comparable SAT mathematics scores. In 2017, 2018 and 2019 the SAT mathematics exam was completely restructured to make scores no longer comparable to SAT mathematics scores between 1972 and 2016.
  3. 90% or more of current jobs and businesses are likely to be replaced by artificial intelligence (AI), brain electro-therapy (meditation . . . practiced by civilizations around the world for over 5,000 years), brain sound therapy (naad or mantra yoga and their equivalents in Native American, Egyptian, Sumerian, Taoist and other civilizations around the world for over 5,000 years), bio-engineering tissue, genetic editing, and fused AI-brain interface synthesis intelligence. Almost all of these future disciplines are complementary to mathematics.

Future articles and podcasts are planned all six of these future disciplines. If you are curious about fused AI-brain interface synthesis intelligence, please watch my main man Elon Musk:

Some say that the tension and relationship challenges between America’s four big castes–European Americans, European “Latino” Americans, Black Americans and Asian American–are driving low math scores for European Americans “AND” other Americans. One example is where thought leader Mark J Perry explores the possibility that tension between the European American caste and the Asian American caste are lowering American  mathematics performance. Excerpts of his article are reproduced below:

Continue reading “American Caste (b)”


Post Modernism (d)

Five thousand years ago the greater Egyptian, Sumerian, Eastern (defined as pan Arya plus China) civilizations were very mathematically oriented.  Many caucasians appear to believe that these ancient civilizations were racist. Possibly because of this many caucasians believe that math is racist.


Another possible reason many caucasians appear to believe that math is racist is because they fear it might unfairly advantages “brown” people (Asians, Arabs, Latinos) and “brown” cultures (eastern philosophy including Toaism and Confucianism, native american religion) at the expense of caucasians in the new global artificial intelligence, neuroscience, genetics economy.


Could part of the anger against math come from fear that mathematics, science, technology, seeking the truth through thought, seeking the truth without thought might be haram or blasphemous? (Obviously most Abrahamics do not believe this and this is not a critique of Abrahamism.)


I believe that mathematics is part of art; and that it derives from beyond normal gross thought. From what in Sanskrit is called Buddhi, Vijnayamaya Kosha, Ananda Maya Kosha, Sukshma Sharira, Kaarana Sharira, the subtle heavens.


Perhaps the anger against mathematics is part of a deeper anger against the subtle heavens? If so, one possible way to look at this is that to transcend the subtle heavens (including mathematics) it might be helpful to love them and love our way through them. Or to love and respect the racist (subtle heavens–including mathematics) until we transcend the various subtleties of thought and feeling.

What are everyone’s thoughts?


Post Modernism (c)

Post Modernism (b)

Post Modernism (a)

Intellectual Dark Web (a)

Intellectual Dark Web


Vital stats in South Asia

A bunch of vital stats from South Asia from Google Data Explorer. Since Zach and I started looking at these data since the early 2000s Pakistan and Bangladesh have diverged, unfortunately. I don’t understand what’s going on with Bangladesh’s anomalously high adolescent fertility though. This could be a function of variation among women as they age, with those entering the labor force delaying childbirth and the number of children so much that it brings the whole average down.

And of course, the whole comparison between India and the other countries is difficult since the Indian statistics average together many different regions.

Continue reading “Vital stats in South Asia”