One for Science: Elementary Particles, Mass and Forces of Nature

In pursuit of science, fitness, and happiness, this article is a continuation of the video shared here on fat loss. The chemical equation of human fat C55H104O6 decomposes into Carbon and Oxygen.  Ruben Meerman’s video on the mathematics of weight loss led to the genesis of this article. Dipped with a small dose of quantum mechanics, this article shares a very brief overview of the micro world of elementary particles and laws of nature governing our bodies and this Universe.

Carbon, Hydrogen and Oxygen atoms play a fundamental role in burning fat. About 96% of human body is made up of carbon, oxygen, hydrogen, and nitrogen. Hydrogen and Helium are also the elements which build the atomic mass of our universe. Hydrogen and Helium atoms make up 99.8 % of all atoms and 98% of all atomic mass in the Universe. An atom has protons and neutrons in its nucleus with electrons orbiting the nucleus.  Protons and neutrons have the same weight which is much more than the weight of electrons. Mass of electrons is negligible compared to the weight of protons and neutrons. The number of protons decides the elementary characteristics of the elements on the periodic table. The mass differs from the weight. Mass measured by mass of atoms in the body which is equal to the mass of protons and neutrons combined. Mass is constant while weight changes according to the gravitation pull of the planet. The movies Interstellar and The Martian are good examples of how weights can vary in different planets. Continue reading “One for Science: Elementary Particles, Mass and Forces of Nature”

Math of fat and weight loss: Is there an arbitrage ?

Many fitness enthusiasts might not be aware that fat has a mathematical equation.  Have you ever wondered how does weight loss happen ? Welcome to an intersection of science, mathematics and  weight loss. Coming soon mathematics of fat and the art behind weight loss…

I shared this video with a few people before I decided to post here. The equation of human fat is C55H104O6.  The article is intended to be a lot on fundamentals of physics and will try to complete the article by tomorrow. Till then, watch this informative video…

Statistics series will soon begin. Three types of statistical methods are used throughout econometrics : estimation, hypothesis testing and confidence intervals.  Stay tuned…

Exchange Traded Funds: Rise of Passive Investing…Series Begins

This article has first posted here on July, 18 2017. Sharing it again. 

ETF also known as Exchange Traded Funds are on a meteoric rise globally. According to a report by PWC, ETF’s in the US is going to grow to $5.9 trillion by 2021, a whopping 23% cumulative annual growth compared to $1.6 trillion in Europe and $560 billion in Asia. ETF’s are passive investment products which track an index. Exchange Traded Funds are linked to different asset classes like equities and commodities. In the US, S&P 500 would be a broad equity index so an ETF linked to S&P 500 would replicate this index. Replication here means it would track the index. ETF would not outperform the underlying index i.e. S&P 500 but rather deliver similar returns. Let’s understand a few concepts here.   Continue reading “Exchange Traded Funds: Rise of Passive Investing…Series Begins”

Aadhaar Inclusion and Causality Inference

According to a report published today in Economic Times, 92% of the population in India (based on 2018 consensus) with nearly all adults barring 3.5 million have an Aadhaar card. This is a phenomenal achievement in bringing underprivileged people for social and financial inclusion. Aadhaar card’s unique identification number will soon work as a social security number for the population. Making aadhaar card essential for all monetary dealings ultimately aids in widening tax bracket. Over a period of time, casual inference using multivariate analysis will help in measuring the social impact of aadhaar inclusion.

Coming to multivariate analysis which is correlation analysis using multiple variables to measure causality. Although Random Control Trial (RCT) is the gold standard to measure causality between two randomly selected samples sizes i.e. control group and treatment group,  in this case, it will not be possible to make two groups randomly selected i.e. two groups with very similar demographic profile randomly selected, one sample without aadhaar card and one sample with aadhaar card. However, a time series data of the population over a decade before and after aadhaar implementation might lead to useful insights. This form of statistical analysis is not a form of RCT analysis.  Continue reading “Aadhaar Inclusion and Causality Inference”