Pandemic

But How Do You Hide the Dead…

The idea for this piece came from a May 13 tweet by G Raghuram. In this tweet Raghuram talked about the Goodhart’s law in the context of the way Covid numbers are being reported.

In a 1975 article, the British economist Charles Goodhart had stated: “Any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes.” This came to be known as the Goodhart’s law. Of course, like many other laws in economics, the Goodhart’s law has also not been stated in simple English.

As Carl T Bergstrom and Jevin D West write in Calling Bullshit—The Art of Scepticism in a Data-Driven World: “While Goodhart’s original formulation is a bit opaque, anthropologist Marilyn Strathern rephrased it clearly and concisely: When a measure becomes a target, it ceases to be a good measure.”

As Bergstrom and West further explain: “If sufficient rewards are attached to some measure, people will find ways to increase their scores one way or another, and in doing so will undercut the value of the measure for assessing what it was originally designed to assess.”

Examples of this phenomenon can be seen across different facets of life. A business school I used to work for had started dozens of journals and magazines, without much quality control, to drive up its rankings and it briefly did succeed. This was because business school rankings gave some weightage to research carried out by the faculty of a business school and by having its own magazines and journals, it was easier to publish. This helped in driving up the ranking. 

Now what does the Goodhart’s law have to do with the covid pandemic? As the covid pandemic struck and spread, different measures have been used to get an idea of its strength (for the lack of a better term). These include daily increase in covid cases, the total number of tests carried out in a district and a state, the total number of covid deaths, etc.

As per Goodhart’s law, these different measures have become targets. And that has led to different state governments  trying to game these measures, in order to make themselves look good and tell the world at large that they have the covid pandemic under control.

Before I get into data and news reports, let me explain this through a very simple example. For a while, the daily increase in the number of covid cases in Nagpur in Maharashtra was much more than the increase in the entire state of Madhya Pradesh.

Anyone who knows Indian geography would know that Nagpur is right on the border that Maharashtra shares with Madhya Pradesh. It is not an island. People can move between the states. This anomaly wasn’t really explainable unless one looked at the Madhya Pradesh numbers from the lens of the Goodhart’s law.

One parameter that has been managed (or should I say fudged) by different states is the number of people dying of covid. The idea as I explained earlier is to tell the world at large that they have the situation under control. The trouble is that the governments may be able to manage the data, but they can’t always hide the dead bodies.

Crematoriums across the country have been working overtime. Public health expert Ashish Jha, offered a straightforward argument in a Twitter thread on May 9. As he wrote: “During [the] non-pandemic year 2019, about 27,000 Indians died on [a] typical day. Crematoriums handle that level of deaths every day. Additional 4,000 deaths won’t knock them off their feet. Crematoriums across the country [are] reporting 2-4X normal business.”

He further writes: “So best estimate [of] 55,000 to 80,000 people dying daily in India, If you assume baseline deaths of 25,000-30,000, Covid [is] likely causing additional 25,000 to 50,000 deaths daily, not 4,000.” As Anirban Mahapatra writes in Covid-19 – Separating Fact from Fiction: “During the pandemic many of these excess deaths are due to COVID-19.”

Many journalists and newspapers have found ways of going beyond the official numbers. Let’s take the case of Gujarat. The Divya Bhaskar newspaper has reported that the state has issued 1.23 lakh death certificates between March 1 and May 10 this year. It had issued around 58,000 death certificates during the same period last year. So, the number of deaths has more than doubled this year. As per Gujarat government’s data only 4,218 deaths happened due to covid during the period. This suggests massive underreporting. The Gujarat government has called this report inaccurate.

It would be unfair to suggest that this trend of underreporting covid deaths is prevalent only in Gujarat. An April 15 report on NDTV, during the early days of the second wave, said that for Lucknow, the “cumulative official covid death count released by the government in the last seven days is 124.” Nevertheless, as “per the records maintained by the city’s crematoriums, over 400 people who died because of the virus had been cremated,” during the period. The government explained away this difference by saying that those dying in neighbouring districts and states were also being cremated in the city.

A similar thing happened in Bhopal as well. Over a period of 13 days in April, the official covid death count stood at 41. Nevertheless, a survey carried out by The New York Times of the main covid-19 cremation and burial grounds in the city, revealed that more than 1,000 deaths had been handled under strict protocols. There was a similar newsreport on Kanpur as well.  

In fact, the Financial Times, collected news reports across seven districts and found that the number of covid victims who had been cremated are ten times larger than the official covid numbers in the same districts. (Click on the above link to look at the graph).

Of course, other than such news stories, there have been a spate of photographs and videos lately, showing bodies washing up and then later buried on the shores of the Ganga river, flowing through Uttar Pradesh and Bihar. A Dainik Bhaskar news report puts the number at more than 2,000 bodies, with Kanpur, Unnao, Ghazipur and Ballia being worst hit. (Those who can read Hindi, I suggest please read this report).  

Journalists have also been counting paid obituaries being published in newspapers, again suggesting a huge difference between the reported numbers and the actual state of things.

As Bhramar Mukherjee, an epidemiologist at the University of Michigan told the New York Times: “It’s a complete massacre of data… From all the modeling we’ve done, we believe the true number of deaths is two to five times what is being reported.”

As per the Institute for Health Metrics and Evaluation, which is based in Seattle, United States, the total covid deaths in India as of May 6, stood at 6.54 lakh, around three times the official figure.

There are several ways in which the undercounting happens. In Uttar Pradesh, in order to get admitted into a hospital, the patient required a reference letter from the Chief Medical Officer “who heads the Integrated Command and Control Centres set up by the government in all districts”. Due to this rule, patients were turned away from hospitals. And if such a patient died he or she wouldn’t be counted in the covid deaths.

A medical officer in Krishnagiri in Tamil Nadu told The Hindu: “We have been told orally in the meeting that only deaths within 10 days of admissions will be taken as covid-19 deaths.” MK Stalin, the new Tamil Nadu chief minister, has asked the state government officers not to fudge data.

The number of deaths also depends on how the counting is carried out. Take the case of West Bengal, where in May 2020, the “official’ coronavirus death toll… doubled in the five days since the state virtually shelved its Covid-19 death audit committee.”

Then there are cases where an individual dying of covid had not tested positive (hence, it was a case of a false negative). There are examples of such cases not being counted as well.

There are also cases of covid deaths being attributed to other health complications that individuals had when they got infected by the virus. These include diabetes, hypertension, cancer etc., which increase the risk of severe covid.  

A news report on BMJ.com published in July 2020, pointed out that in Vadodra “death audit committees attributed nearly 75% of deaths in covid-19 positive cases to other causes such as complications from diabetes or following organ transplants.”  All this is happening against the prevailing guidelines of the Indian Council of Medical Research.

People who die outside hospitals or on their way to one, aren’t counted in the covid deaths. Two thirds of registered deaths in India happen at home. In all around 86% of deaths in India are registered.

Even here there is a great deal of variation across states. In Bihar and Uttar Pradesh, only 34.6% and 60.8% of the deaths, respectively, are registered. As the disease spreads across rural Bihar and rural Uttar Pradesh, massive undercounting of both active covid cases and deaths, is happening.

The reluctance of politicians notwithstanding, the system itself is not geared up to count the dead, from covid or otherwise, in these states.

The biggest evidence of undercounting comes from the fact that the Prime Minister Narendra Modi recently said that the “states should be encouraged to report their numbers transparently without any pressure of high numbers showing adversely on their efforts”.

There are several reasons why the governments need to count the number of people dying because of covid, correctly.

First and foremost, people have a right to know what is happening in the country. It tells us clearly how the disease is progressing  and helps us prepare accordingly, mentally, physically and financially.

Second, as I have often said in the past, if we don’t recognise a problem how do we work towards solving and/or containing it. With regard to this, Bhupinder Singh Hooda, a former chief minister of Haryana, made an important point in a recent column in The Indian Express, where he said:

“The Union government is allocating oxygen on the basis of the severity of the second wave in the state. If the state government underreports the numbers or fudges the data, it will harm, rather than help, the state as it will get a lower allocation of oxygen and more deaths will follow.”

Third, counting covid death numbers as accurately as possible is important for the overall health security of the world. No herd immunity can be achieved if the disease keeps spreading across India.

Fourth, the correct data helps epidemiologists run their models properly and then make projections that should help policy.

It also needs to be said here that historically during a pandemic, data is not always accurately collected. As  Chinmay Tumbe writes in Age Of Pandemics (1817-1920):

“Death figures are collected on the basis of ‘registration’, which is a process that usually breaks down in a period of crisis, as observed by the health officials of those times. It leads to serious underestimation of the number of deaths, especially in poorer countries with weak data collection systems. In India, the Census of 1921 noted that due to ‘the complete breakdown of the reporting staff, the registration of vital statistics was in many cases suspended during the progress of the epidemic in 1918’.”

The mortality statistics of those who died in the pandemic that happened between 1918 and 1921, have been updated through various studies over the years.

Having said that, when it comes to data and data collection, things have improved by leaps and bounds over the last 100 years. Hence, even with the pandemic being on, data collection and management, needs to be carried out in a much better way.

Of course, all this is lost on a central government, which is primarily interested in narrative management. It is currently busy spreading the narrative that it had warned the states of a second wave.

But then it did nothing about it… Didn’t order enough vaccines… Didn’t make sure that there was enough stock of oxygen… Exported the vaccines being produced… Continued with the kumbh mela and the elections, both big super spreader events… And also told the world that India had managed to defeat covid.

In between all this we were also asked to bang utensils and eat dark chocolate. 

What a Mumbai Real Estate Agent Can Tell You About Indian Economy Contracting

Koi yahan aaha naache naache,
Koi wahan aahe naache naache.

— Usha Uthup, Faruk Kaiser, Bappi Lahiri and Babbar Subhash (better known as B Subhash), in the Disco Dancer. 

The gross domestic product (GDP) figures for the period July to September 2020 were published yesterday. The GDP is a measure of the economic size of a country during a particular period. The Indian GDP or the economic size of the country during the period contracted by 7.54%  against the same period last year.

This looks very good in comparison to the contraction of 23.92% that the economy had seen during the period April to June 2020 and has led to the uncorking of the bubbly among a certain set of politicians, economists, analysts, journalists, stock market wallahs and Twitter warriors.

Of course, there is no denying that a contraction of 7.54% is a lot better than a contraction of 23.92%, one would be a fool to deny that. But has the time to uncork the bubbly come? Or, if you are not the drinking type, should we be high-fiving on this one?

Let’s take a look at this pointwise.

1) For much of the period between April to June, the economy was under a lockdown. Once the economy was opened up, things were bound to improve. Hence, a better performance in July to September should not come as a surprise. Second, the period benefitted because of a lot of pent up demand. People who could not buy the stuff they wanted to during April to June, ended up buying it between July to September. These points need to be kept in mind.

2) The economists were expecting a contraction of 8.5-9% during the quarter. Against that a contraction of 7.54% looks just about a little better. Having said that, India has a large unorganised sector. Measuring the value added by the unorganised sector is never easy. Hence, when releasing GDP data for a period of three months for the first time, the National Statistical Office (NSO) essentially proxies the value added by the informal sector using formal sector data. This is set right as data streams in over a period of time.

Over and above this, we are in midst of a pandemic and hence, collection of data isn’t easy. As the NSO points in its release: “Some other data sources such as GST, interactions with professional bodies etc. were also referred to for corroborative evidence and these were clearly limited.”

What this means is that the GDP data presents a picture which is rosier than the actual picture.

3) There is another important point that needs to be made here. India has been publishing quarterly GDP for close to 24 years now. This is only the second time in all these years that the GDP during a particular period of three months has contracted. Only twice in 94 quarters has the economy contracted. And given that GDP has contracted in two consecutive quarters, India is in a midst of what economists call a technical recession. If the economy continues to contract in the months to come, it will enter a recession. That’s the difference between a recession and a technical recession.

Source: Centre for Monitoring Indian Economy.

4) In the period April to June with a contraction of 23.92%, India was the worst performing economy among the major economies in the world. From the data that is currently available on the OECD website, India is no longer the worst performing economy in the world, nonetheless, it continues to be among the worst performing economies in the world.

Source:  https://stats.oecd.org/index.aspx?queryid=350

5) A major surprise in the GDP data has been the recovery of the manufacturing sector. The sector grew by 0.62%, after contracting (or degrowing as analysts like to say) by 39.30% between April to June. While this is good news, it goes against the fact that index of industrial production contracted by 6.09% during July to September. If the production has contracted how has the growth come about? The growth has come primarily from the fact that companies in the listed space have been able to increase their profit margins primarily because of controlling costs, this includes firing employees and slashing their salaries.
As economist Mahesh Vyas recently wrote in a column: “In the September 2020 quarter, while sales fell again by 9.7 per cent, profits sprang a surprise by scaling up by a handsome 17.8 per cent. Yet, wages declined by one per cent. Evidently, companies do not apportion resources to labour in any proportion of profits.”

6) Sectors like construction, mining as well as services continued to remain weak, though better than they were during April to June. These sectors are high employment sectors. This remains a worry given that what seems to be happening currently is a recovery which isn’t creating enough jobs. In fact, financial services, real estate and professional services (bundled together for some reason in the GDP data) contracted by 8.09% during July to September. It had contracted by 5.33% during April to June. And that can’t possibly be a good thing. This can also be seen under NREGA data where demand for jobs this year remains astonishingly higher than last year. It can also be seen in the labour participation rate contracting with people stopping to look for jobs because they are unable to find one, and hence, dropping out of the workforce.

It also needs to be said here if there is a second round of covid, as is being feared, the services sector will continue to remain weak, in particular services like restaurants, hotels, tourism, cinema halls, malls etc.

7) If we look at GDP from the expenditure side, the private consumption expenditure contracted by 11.32% against a contraction of 26.68% between April to June. Clearly, there has been improvement on this front. Nevertheless, private consumption expenditure forms more than half of the Indian economy, and as long as it continues to remain weak, the economy will continue to remain weak. Also, we need to remember that the contraction of 11.32% happened despite pent up demand and festivals in the Western and Southern part of the country. Further, the fact that private consumption has continued to contract, brings into question the growth in the manufacturing sector. Are actual sales happening at the consumer level or is this simply a case of a  build-up of inventory, as has been the case in the auto industry?

8) This is a slightly technical point but still needs to be made. On the expenditure side, the GDP is calculated as a sum of private consumption expenditure, investment, government expenditure and net exports. Net exports is exports minus imports. In the Indian case, this is a negative entry into the GDP figure, given that exports are usually less than imports. During July to September, net exports is a positive number, given that imports are lower than exports, having fallen by a much higher rate. This is primarily because of a collapse in consumer demand, which is not a good thing. When it comes to the goods part of imports, the non-oil non-gold non-silver part of imports collapsed by 23.82% during July to September. This helped push up the GDP number.

9) The GDP has contracted by 15.67% during the first six months of the year. If the economy contracts by 3-5% during the second half of the year, we still are looking at 9-10% contraction this year. This was largely the consensus forecast made for this year. Even if there is no contraction in the second half of the year, the economy will still contract 7.66%, which will make India one of the worst performing economies in 2020-21. Also, we need to remember that the GDP of 2019-20 is likely to be crossed now only in late 2021-22 or 2022-23. So this pushes the Indian economy back by at least two years. Of course a lot of it is because of covid, but let’s not forget, the Indian economy had been slowing down even before the pandemic struck.

10) Let me close this piece with a little story. Sometime in April 2006, I first started to look for a flat to rent, in Mumbai. Of course, one had to go through agents. Pretty soon, I realised that the agents were trying a psychological trick on me. They first showed me a flat which was in a very bad state. They would then show me something which was slightly better. Nevertheless, the difference in rent between the flat was much more than the difference in their quality, with the rent of the second flat being much more than the first one. I caught on to this because I had read this book called Freakonomics sometime in 2005. The book had an extended chapter on the contrast effect.

We all tend to compare things before making a decision. Given this, the attraction of an option can be increased significantly by comparing it to a similar, but worse alternative. This is known as the ‘contrast effect’.

How does this apply in the present context? It’s simple. The fact that the Indian economy contracted by a massive 23.92% during April to June, it makes a contraction of 7.54% during July to September, much better. But there are many nuances, as explained above, that need to be taken into account.

PS: My writing has been highly irregular over the last few weeks. I was busy with a project I had taken on. Now that I am done with it, will write more regularly.