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Using maths to combat COVID-19

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‘The pandemic has now reached a level in which no human can make an optimal decision without the aid of a computer. Therefore, we need to start working on quantitative models to identify optimal decisions, instead of pointing fingers for not making proper decisions, when decision making is literally beyond the capacity of a human.’ – Senior Lecturer, Department of Mathematics, University of Colombo,    

Dr. Anuradha Mahasinghe

by Sajitha Prematunge

What has math got to do with a pandemic? At the outset, it might seem the two are completely unrelated. One has only to observe that the number of infected in certain districts is higher than that of others and making informed decisions based on those numbers could mean the difference between stifling a cluster and a full-blown third wave. Senior Lecturer, Department of Mathematics, University of Colombo, Dr. Anuradha Mahasinghe knows only too well how important the numbers are in combating COVID-19. This is why, in June, he and his colleagues proposed an optimization model, aimed at minimizing the damage to the economy, while confining the COVID-19 incidence to a level endurable by the available healthcare capacity in the country, while their compartment model projected COVID-19 transmission. Their study investigated the effectiveness of the control process with the aid of epidemiological models.

 

Epidemiological models

Mahasinghe explained that an epidemiological model is a model that simulates and describes an epidemic. “Modelling is essential if you want to describe a phenomenon. From the spin of an electron to the rotation of the heavenly bodies, these phenomena are understood with the aid of models. It is the models that help us describe the changes in economies and fall of financial markets,” said Mahasinghe. And pandemics are no exception. He explained that an epidemiological model, based on a reasonable theory and supported by evidence, is a collection of entities and their operations, that when put together simulate and describe an epidemic, which provides important insights into the transmission of the disease.

But how does maths factor comes in when dealing with a pandemic such as COVID-19? Mahasinghe pointed out that math is inevitable whenever dealing with numbers or quantities. “Aren’t we really sensitive to numbers in this COVID era more than ever? Every person is anxious to know the numbers of reported cases and deaths.” One might say the numbers are governing us because decisions are also made based on these numbers. However, these numbers are only the smoke, warns Mahasinghe. “One should be able to make a better decision if he sees the fire. Therefore, to make the best decisions during the pandemic you have to look into a mathematical model that can best describe the phenomenon.”

Numbers may govern us but what governs the numbers? According to Mahasinghe, this can only be uncovered by a model that captures the quantitative aspects of the pandemic. “It’s what we call a mathematical model which provides us with an explanation to the occurrence of these numbers.” Such a model can also forecast how these numbers are going to change in the future.

But how credible are these models? Hopefully, they are nothing like the local weather forecast. “Such models are based upon very fundamental and well-accepted laws in nature such as energy conservation, which cannot be falsified,” reiterated Mahasinghe. “Such models are supported and validated by empirical evidence. People use such models very often to make decisions in industry to make profit. So, why not look into the numbers and the math behind them to make optimal decisions accordingly, in a pandemic scenario?”

 

Where we went wrong

When asked where Sri Lanka went wrong in attempting to contain the pandemic, Mahasinghe said, “I guess we didn’t see the fire, we only saw the smoke. More precisely, we didn’t pay enough attention to the transmission dynamics or to optimal decision making. We were able to make some good decisions in a qualitative sense, but I seriously doubt we had the insight to make quantitatively sound decisions.” He pointed out that even when the decisions were made, the outcome could not be predicted due to a lack of a mechanism to forecast.

When asked whether the authorities were too quick to lift the lockdown, Mahasinghe answered in the negative. “I don’t think it was too early. Lifting strict lockdowns was essential at that moment. We were struggling to achieve two conflicting goals; containing the disease and sustaining the economy. Stepping down from strict curfew to partial lockdowns is indeed a good decision in such a context.” But was it methodical? Was there a mechanism to decide on the nature of the partial lockdowns? Did we know how to optimally restrict mobility in order to achieve those conflicting goals? Did we know to what extent the lockdown of a district should be optimally eased? Did we estimate the potential increase in positive cases from a district when its lockdown would be relaxed? Did we know the magnitude of the economic loss caused by shutting down a region? These are questions Marasinghe believes that authorities should have paid attention to, when easing the lockdown.

“Lockdowns could have been relaxed with the aid of proper optimization models capable of providing answers to these questions.” He repeated that such models are used very often in industrial decision making and provide promising solutions. “You can’t bring the COVID incidence down to zero even with such models, but at least you know what’s going on and the effectiveness of a decision so the health sector can take relevant measures.

According to Mahasinghe, authorities have overlooked the significance of data. “Even now I don’t think enough attention is paid to data.” According to him, some important data were not gathered. For example, he pointed out that, despite Western Province residents being advised against crossing borders, some invariably did, as there were no strict rules against it. “There is no point in regretting the fact, but we could have counted the number of vehicles that crossed the borders and used it to estimate the impact on transmission.”

He explained that the entire country can be regarded as an epidemiological network, where the nodes are the cities and the interconnections are the roads. “There are elegant models in network theory to gain many insights into transmission through such a network.” He also noted another pertinent issue, that even if data were gathered, they were not used. “Much effort was made to gather and organize COVID related data such as incidence per region etc, and that is really commendable. However, have we used them; what were the insights we gained into transmission from them except for some trivial speculations?” questions Mahasinghe. He reiterated that such insights can only be gained through an extensive study that involves the collaboration between mathematicians, computer scientists, epidemiologists and economists. “The mathematician’s part alone includes exhaustive algorithmic development and computational modelling challenges,” explained Mahasinghe.

 

Criteria

When asked what factors were taken into consideration in their optimization model, Mahasinghe reminded that a delicate balance must be struck between two conflicting goals. “We need to find the optimal compromise between containing the disease and sustaining the economy. As a developing country, we can’t afford beyond a certain level of the control process, so budgetary constraints must be considered.” It is obvious that COVID-19 is transmitted through human mobility. He pointed out that, consequently, inter-regional travel plays a significant role. “On the other hand, transmission dynamics can be modelled to a certain extent by well-known compartment models. However, human mobility affects the compartments and the relevant model has to be moderated accordingly to reflect that reality.” The optimization model considers all factors, such as medical capacity to deal with the pandemic, economic concerns, transmission dynamics, regional contribution to the economy, and generates a lockdown relaxation strategy that keeps the level of incidence below a desired threshold, while minimizing damage to the economy.

However, Mahasinghe pointed out that this was a prototype and it can be made closer to reality by incorporating more constraints. “For instance, I haven’t considered the fact that most agricultural activities are done in the North Central province. But, if required, that too can be incorporated without difficulty.” According to him epidemiologists and economists can introduce more constraints to the optimization model, and the applied mathematician’s job is to overcome the computational challenges posed by incorporating them.

 

Relevant?

There is no point in closing the stable doors after the horse has bolted. Months after the lifting of the lockdown are such models even relevant? “The compartment model that captures the transmission of COVID-19 is still applicable, irrespective of any lockdowns, unless it is quite certain that there is absolutely no community transmission. I think we were in such a stage only at the very beginning of the first wave,” said Mahasinghe. According to him, the network-based model that captures human mobility is also applicable irrespective of lockdowns or any other preventive measures. In contrast to these, the optimization model is applicable in its existing form only when lockdowns are in force. “Having said that, this model may still be useful with some changes in the present context where small regions are isolated. For instance, a slightly changed variant of that model can determine which areas should undergo isolation. Moreover, it is possible to modify the optimization model further to be used in the process of making decisions on identifying the persons to be quarantined.”

Human mobility is a critical factor in the spread of a pandemic as well as any models targeted at managing such, how could a mathematical model factor this in? “Not only COVID-19 but even dengue is transmitted mainly due to human mobility. A mosquito doesn’t travel very far during its lifetime. Humans are more responsible for carrying diseases.” Mahasinghe pointed out that COVID-19 is not very different. “If you know the way humans move from place to place, and also know the level of incidence in each place, it is not that difficult to model how the disease is transmitted through humans.” He observed that most preventive measures are also focused on restricting human mobility, which he deemed commendable. “A mathematical model can prescribe the optimal way to restrict mobility.”

What are the implications of mobility? For example are people of certain districts more inclined to travel and therefore may contribute more to the spread of the disease and are such implications reflected in the numbers? “As long as the model is deterministic and you can overcome the computational challenges by necessary algorithm development, closed-form and conclusive solutions can be generated.” Mahasinghe implied that math helps to see the big picture. “Consequences of travel from the Western to other provinces is obvious. However, considering the transport network, Southern and North Western Provinces are also at high risk.” He observed that less attention has been paid to those regions. This begs the question, are the Southern and North Western provinces a time bomb waiting to go kaboom? He reiterated that special attention must be paid to regions that are relatively less danger, such as North Central, which contributes significantly to economic growth, as the Western province is not capable of contributing to the economy in its full capacity. “It is important to keep the incidence at a low level in such places.”

The study predicted that easing lockdown in the Western Province would have adverse repercussions. “As long as vehicles cross inter-provincial barriers, the disease is transmitted to those regions. But in what magnitude? We had access to certain transport data, so we knew to a certain extent how people would mobilise within the country. Also the epidemiological data were available. So we had enough inputs to be fed into our algorithm.” The results were appalling. In fact, this computer experimentation was done in the early days when Sri Lanka was hit by the first wave and there were no strict measures to curtail inter-provincial mobility. During the days in question, Mahasinghe ranked the provinces according to their vulnerability to COVID-19, using another model, by adopting some ideas from network theory. Recently, upon perusing a map that indicated the countrywide spread of the disease Mahasinghe came to realize that the ranking has been validated, eventually. “What I don’t understand is why we failed to foresee this.”

Mahasinghe and his team had access to certain transport data, such as the number of buses, trains and bus routes. However, his models were prototypes. To make the prediction more accurate they would need current transport data, such as the number of private vehicles crossing provincial borders. “There are a number of police barriers between borders, so a vehicle count would not be impossible. If health planners are willing to use that type of model, these could be extremely valuable datasets.”

 

Quantifying the qualitative

In their model they quantify the degree of social distancing. But can criteria so human in nature be quantified? Moreover, how can something as complex as a pandemic, with so many variables, human in nature, be simplified into ones and zeroes? Mahasinghe maintained that it is possible to estimate the degree of social distancing observed, if provided with sufficient data. “I understand that it sounds quite unrealistic. It is because we think of individuals.” Mahasinghe emphasised the importance of noting that they are not modelling an individual, but rather a population. “Though a population consists of individuals, the dynamics of the population is not merely the sum of the dynamics of an individual. When you single out a person, the behaviour of that person is surely very uncertain and unpredictable. Take two persons, they may have certain things in common, so it is not that unpredictable. If you take a thousand people, a lot of commonalities can be extracted and the situation becomes predictable now.” He explained that, therefore, it is possible to assign a value to the degree of distancing with the aid of necessary data.

“Interestingly, it is true that we mathematicians seek certainty in an uncertain world. However, an event that looks uncertain from one point of view looks certain from another.” The toss of a coin is a simple example. “If you toss a coin, the outcome of it being head or tail is widely believed to be uncertain. However, it is the lack of data that makes it uncertain. Suppose the initial speed, the weight, the angle of projection and such were provided, then the outcome may be predictable by basic equations of motion.” Mahasinghe emphasised that math does not guarantee elimination of uncertainty. “That is definitely not the direction the mathematical sciences are moving, specially with the recent developments in quantum physics and unconventional computing. However, where macroscopic events like pandemics or human behaviour are concerned, there are many certainties that we misinterpret under the cover of uncertainty due to our lack of knowledge, eventually missing an opportunity to gain crucial insights into the scenario.”

Mahasinghe pointed out that many decisions are binary in nature. Let alone policy decisions, many behavioural decisions are inherently binary. “For instance, you may decide whether to wear a mask or not. So the one-zero nature of the action is inherent and not artificially imposed by a mathematician.” He further explained that some non-binary decisions can still be quantified. “For instance, if you decide to wear the mask on three days and go unmasked on four days of the week, it can be quantified using numbers and interpreted using probability.” Mahasinghe elaborated that, with recent developments in non deterministic models, applied mathematicians do not hesitate to incorporate uncertainty. “Consequently, uncertainty is no longer immeasurable. It is possible to confine uncertainty of the solution within reasonable limits.

 

What next

With all the talk on vaccination, Mahasinghe emphasised the importance of developing two mathematical models prior to vaccination. The first is a compartment model that explains the post-vaccination dynamics of the disease. “This is pretty standard in mathematical epidemiology. The second, developing a model to capture the effects of the interactions between individuals and predict the outcomes, is subtler and challenging.” He explained that once a phase of vaccination is over, persons in society can be divided into two categories: vaccinated and unvaccinated. “Take a random encounter between two persons. What type of interaction would it be? Is it a vaccinated encountering another vaccinated, an unvaccinated encountering another unvaccinated or a vaccinated encountering an unvaccinated? Obviously, the consequences of these encounters are essentially different.”

The discipline of mathematics referred to as game theory is a promising tool in modelling this type of scenario and forecasting the outcomes. In addition, once vaccination commences, there will be the issue of free riding. Due to different reasons, some people in the high risk category will also choose to remain unvaccinated, eventually resulting in a significant number of potential free riders. Mahasinghe explained that this has already been addressed in the game theory in particular, under evolutionary games. “As a nation we can’t be content with an elementary formula for herd immunity. Instead, we need to develop and upgrade elegant vaccination strategies using compartment models and game theory.” Mahasinghe is of the view that, in this pre-vaccination phase, these two are the immediate concerns that need to be addressed by applied mathematicians.

 

Benefits

When asked what are the drawbacks of not using a mathematical model are and the benefits of using one, Mahasinghe pointed out that in a scenario of conflicting goals and monetary restrictions, it is impossible to make decisions without seeing where the optimal compromise is. “It is easy to put the blame on politicians and other policy makers for not making the right decisions, but how can a human make an optimal decision in this entangled web of parameters, conflicting goals and constraints? Plainly speaking, we need computers to generate the best decisions for us.” That’s indeed what the computers are intended to do primarily, according to Mahasinghe, although they are more frequently used to watch YouTube videos and log into Facebook!

But to perform the intended task using a computer, models and algorithms that can be read by the computer must be created. “That’s why you need to look into optimization, mathematical programming, computational modelling and game theory. This way, you may be able to keep the numbers within certain limits. Also, you can pre-assess a decision quantitatively. Our health workers and armed forces have already committed much and continue to do so and to receive the full benefit of their commitments, the willingness to switch from qualitative to quantitative methods, is essential.

When asked if such models are used successfully in other countries to counter the pandemic, Mahasinghe answered in the affirmative. Since the very beginning, an extensive mathematical modelling process has been done and that’s how the predictions were made. In fact, vaccination models had long been applied to control epidemics even in African countries. In Sri Lanka, there are many misconceptions about mathematical models.” Mahasinghe has observed certain non-mathematicians presenting elementary regressions, numerical approximations and statistical tests, erroneously referring to them as mathematical models.

“Perhaps that’s why some policy makers have lost faith in math. As mentioned earlier, a mathematical model is based on an unfalsifiable conservation law. It cannot be compared to a trivial curve fitting cakewalk. Our people get easily carried away by exotic words. People tend to admire words like machine learning, artificial intelligence and such, but how many are aware of the maths behind these words?” He observed that a closer examination of news reports on machine learning or AI being used in some country to counter the pandemic, would reveal that they are mathematical models and machine learning techniques are used due to the toughness of generating a closed-form solution. “Even to apply computational heuristics, the problem has to be formulated mathematically. Correct problem formulation is a major component of a so-called AI-powered decision.

Mahasinghe explained that the subject of operations research emerged in the new industrial era to enable industrial decision making using computers, as the number of industrial parameters exceeded human ability to process. “The pandemic has now reached this level so that no human can make an optimal decision without the aid of a computer. Therefore, we need to start working on quantitative models to identify optimal decisions, instead of pointing fingers for not making proper decisions, when decision making is literally beyond the capacity of a human.”



Features

Odds and Ends: Horse racing and the business of sports betting – IV

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by Prof. C. A. Saliya
(The fourth instalment in a five-part series on
the business of gambling, legal and illegal)

Here’s a puzzle worth thinking about. For well over a century, Sri Lankan law has treated a village card game as a criminal offence, punishable by fine or imprisonment. In that same period, it has treated betting on horse racing as a perfectly legitimate, taxable business, one the state has actively collected revenue from for generations, under a Horse Racing Betting Ordinance older than most of the country’s other gambling law. Same basic activity, risking money on an uncertain outcome, one version illegal since 1889, the other legal the entire time.

Why? Follow the money, and the class lines, back to the colonial era. Horse racing arrived in Ceylon as a pastime of the British administrative and planter class, a “sport,” played and watched at clubs and racecourses, with betting bolted on as a respectable, even sophisticated, accompaniment. Card games played by ordinary people in villages, on the other hand, were exactly the kind of activity the same colonial authorities were eager to label a vice and criminalise. It’s the same pattern we saw with casinos in Part 2: gambling done by the wealthy tends to get called a sport, a tradition, or an investment. Gambling done by everyone else tends to get called a crime.

That history matters, but the economics of horse racing betting matter just as much, because once you understand how a bookmaker actually prices a race, you understand something that applies to almost every form of sports betting on Earth, from a Colombo racecourse to a global football sportsbook.

How a bookmaker guarantees a profit

Imagine a simple race with only two horses running, and imagine, just for the sake of the maths, that both horses genuinely have an exactly 50-50 chance of winning. A perfectly fair bookmaker, offering perfectly fair odds, would price both horses at even money: bet 100 rupees, win 100 rupees plus your stake back, on either horse.

No real bookmaker does this. Instead, they’ll price both horses slightly below their true odds, say, offering odds that imply each horse has a 55 percent chance of winning, even though the true chance is only 50 percent. Add those two implied percentages together and you get 110 percent, not 100. That extra 10 percent is called the “overround,” or sometimes the “vig” (short for vigorish), and it is the bookmaker’s guaranteed margin, built directly into the prices on the board before a single horse leaves the starting gate. It doesn’t matter which horse wins. The bookmaker’s overround wins regardless, on every single race, all day, every day.

There’s a second, subtler effect that decades of studying racing data has confirmed again and again, all over the world: bettors as a group are slightly too generous to favourites and slightly too generous to long-shots. Favourites tend to win a bit more often than their odds suggest they should, meaning betting on the favourite loses you money slightly more slowly than average over the long run, while betting on the rank outsider, the 50-to-1 shot that everyone secretly dreams will come in, loses you money considerably faster than average, because the public consistently overpays for that lottery-ticket dream. Bookmakers know this. It’s baked into their pricing, and it has a name: the favourite-longshot bias.

It’s not just horses anymore

Horse racing used to be the flagship product of the entire betting industry. It still matters enormously, including here in Sri Lanka, where it remains one of the very few genuinely legal betting products, but globally, its share of the total betting market has shrunk as sports betting on football, cricket, tennis and everything else has exploded, especially since a landmark 2018 United States Supreme Court ruling opened the door to state-by-state legal sports betting across America.

The newest and, frankly, most dangerous evolution of all this is “in-play” or “live” betting, placing bets not before a match starts, but continuously, in real time, on what happens in the next five minutes: the next corner, the next wicket, the next point. Regulators studying gambling harm consistently find that in-play betting produces worse outcomes fo bettors than traditional pre-match betting, precisely because there are so many more moments to place a bet, so much less time to think between decisions, and so much more opportunity to chase a loss five minutes after you made it.

Where the skill actually is, and isn’t

Now, a confession from this column, which has spent plenty of ink over the years analysing racecards: professional handicapping, studying trainer and jockey form, course and distance records, the draw, the going, the weight a horse is carrying, is a genuinely real skill, and it can meaningfully improve your chances of picking a winner compared to a random guess. That’s not a myth. Good handicapping works, in the narrow sense that it improves your odds of identifying the horse most likely to win any given race.

But “improving your odds of picking a winner” and “beating the house edge” are two completely different things, and this is the single most important distinction in this entire series. Even the sharpest, most statistically literate handicapper in the country is still betting into odds that already have the bookmaker’s overround baked in. Skill can narrow the gap. It essentially never closes it completely over the long run, for the simple reason that the house built the gap on purpose, and prices every race to make sure it stays open.

When the “form” is fake: Virtual meetings

One genuinely strange wrinkle worth flagging here: some betting products dress themselves up in the full costume of horse racing, trainer names, jockey silks, past form lines, even fake race commentary, while actually being nothing more than a random number generator behind the scenes, deciding the winner with no horses, no trainers, and no real race involved at all; just a computer simulation.

These “virtual racing” products exist specifically to borrow the credibility that real handicapping has earned over more than a century, and apply it to something that has no skill element whatsoever, chance and chance alone. It’s worth knowing the difference, because the two products look almost identical on a betting slip, and only one of them rewards the kind of analysis this column has always tried to teach.

Are manipulations possible?

Bookmakers don’t secretly insert horses into races to beat favorites instead they simply publish odds based on form and betting demand. The real risk comes from insiders with knowledge, such as trainers or syndicates, who can exploit undervalued horses to stage betting coups. These events are rare but welldocumented, leaving a lasting mark on regulation. In the past, bookmakers were reactive, allowing coups to succeed before odds adjusted. Today, they are far more proactive, using AI systems and integrity units to detect anomalies quickly. Even so, insider coups still occur, though they are rarer and swiftly investigated. The balance has shifted: bookmakers now lose less often, but punters continue to chase “value” in overlooked horses, keeping the contest alive between house margins and human ingenuity.

Betting Coups: When the Odds Tilt

Horse racing has always carried a mystique of glamour and risk, but behind the silks and starting gates lies a business model designed to ensure bookmakers never lose. As explained earlier, the “overround”, that invisible margin built into every price, guarantees profit before the first horse even breaks stride. Yet history shows that punters, syndicates, and insiders have occasionally turned the tables, staging coups that shook the industry and exposed its vulnerabilities. Timeline of such incidents are shown in the Table.

These stories remind us that while bookmakers build their margins into every race, the human element, ambition, deception, or sheer audacity, can still disrupt the system. Today’s safeguards, from AIdriven monitoring to integrity units, make coups rarer, but not impossible. And that tension between certainty and surprise is precisely what keeps the public fascinated. Horse racing is not just about speed and stamina; it is about the eternal contest between the house edge and human ingenuity.

The road ahead for racing in Sri Lanka

Horse racing’s legal status in Sri Lanka looks set to remain intact under the new Gambling Regulatory Authority, folded alongside casinos and licensed online sports betting operators. What’s new is that offshore online platforms, which have long taken bets from Sri Lankan customers without local approval, are now—at least on paper—being brought under the same regulatory umbrella as the racecourse. Whether this shift results in genuine oversight or simply adds a licence requirement that foreign operators quietly ignore remains an open question, one to be explored in the final instalment of this series as we assess what fair, joinedup gambling regulation would truly require.

Next week:

Part 5, the final instalment, Closing the Book, on what real gambling reform would look like, and whether Sri Lanka’s new law gets us there.

(Prof. C. A. Saliya, is a charted accountant, academic, researcher and former banker. He is the author of SAMAJA GAVESHAKAYA and Springer Publication DOING SOCIAL RESEARCH. He can be contacted at saliya.ca@gmail.com. The views expressed in this article are his own and do not necessarily represent those of the organisations with which he is affiliated.)

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When slogans meet scrutiny

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An unhealthy politics still rents the finished war — and that is why society stays divided

by Mahil Dole
Senior Superintendent of
Police (Retd.)

True national stability requires a transition this country has postponed for seventeen years: from a military victory to civic reforms that penalise divisive actors and build a unified identity. Last week showed, with unusual clarity, why that transition keeps failing. It was not a failure of slogans. It was a failure of consistency. Democracy, in the narrow sense of ballots and benches, is still standing. What is unhealthy is the use to which those ballots and benches are put. An unhealthy politics does not close a war. It rents it.

Three scenes, one week

In Chavakachcheri, President Anura Kumara Dissanayake told a housing gathering that racism would not be tolerated in any form, against Sinhalese, Tamils or Muslims, in the North, South or East. He named the old kindling: heritage sites and religious places still used to ignite tension. He spoke of houses for the displaced and a stadium for children in Jaffna. Those are the right words for a head of State. A country that meant them would be doing the unglamorous work of peace: making the next generation less useful to anyone who needs a quarrel.

In Anuradhapura, on an SLPP stage, a different performance was under way. Jaffna Member of Parliament Archchuna Ramanathan referred to himself as a “Tiger” and to the elected President as a “fox”. The name of a proscribed organisation was spoken in a town that carries the memory of the sacred-city attack. Party figures who have spent years treating any mention of the LTTE as contamination were reported to have cheered. By Monday a civil-society group styling itself the “Joint Opposition” had taken a complaint to the CID. The Police confirmed receipt. Opposition voices had already raised the alarm on Sunday.

Let the record be exact, because the rumour was not. The complaint now on the CID file is that remarks on an SLPP stage, and the cheer that met them, crossed from political insult toward promotion of a banned group. The government, for its part, has said there is no room for LTTE promotion and that remembrance of the dead is another matter. Those are two different files. Mixing them is itself a kind of politics.

A third voice belonged to the same week. Professor Savitri Goonesekere spoke with the clarity that public law, when it is still a discipline and not a campaign colour, can still produce: thoughtful, articulate, addressed to the country rather than to a faction. The speech deserves the praise it has received. The caution it invites is as important as the praise. Worthy slogans, unity, an end to racism, one law for all, are easily hijacked. They are most easily hijacked by those whose own conduct is under scrutiny, and who need the language of virtue more than they need the discipline of it. A speech of that quality raises the standard. It does not lower the duty to watch who picks the slogan up next.

What an unhealthy democracy does

People vote. Governments change. Parliament sits. That is not a failed democracy in the textbook sense. It is also not a healthy one. A healthy system converts a military victory into civic rules that bind the winners as well as the defeated, and that make division expensive. An unhealthy system keeps the war useful. It farms fear. It treats identity as a turnout machine. It issues a guarantee against racism in one district and applauds a banned name in another. That practice is not a lapse of taste. It is a structural reason society remains split.

Duplicity is the method. The same platform that built a career on the defeat of terrorism can, when the arithmetic of a rally requires it, tolerate the self-description of a Tiger. The same voices that demand a ban on LTTE propaganda can discover, the following week, that a rival’s meeting is the real offence. The same guarantee against racism can be issued in the North on one day and left unenforced in the South on the next. Two standards, again — not between Colombo and an overseas capital this time, but between the microphone and the statute book.

The LTTE remains a proscribed organisation. That is law, not a mood. Remembrance of the dead is a human act and must be protected as such. Glorification of the organisation that killed them is not remembrance. A serious State draws that line once, publishes it, and applies it without regard to who is speaking and which party owns the stage. Selective outrage is not law enforcement. It is campaigning.

The same is true of the word “racism”. No President can abolish it by declaring that he will not tolerate it. The declaration is necessary. It is not sufficient. Racism in this country has rarely been only a private vice. It has been a public business model: a way to harvest fear, postpone reform, and keep a constituency enlisted after the guns fell silent. Heritage sites and religious places become kindling because someone lights them. Universities become martyr theatres because someone books the hall. A Member of Parliament can call himself a Tiger on a southern stage because someone calculated that the cheer would be louder than the cost.

Why this divides a people

Division is not produced only by the last war and not only by those who live outside the island. It is produced, week by week, by a politics that cannot address a crowd except through Sinhala, Tamil or Muslim injury. A politics of that kind is not representing a community. It is farming one. The young, who have no memory of the last bunker, inherit the quarrel instead of a country. Serving officers watch the treatment of their predecessors and the theatre of their politicians and draw a rational conclusion about what the country values. Families who lost their own to the LTTE hear “Tiger” cheered and conclude that their dead have been repriced. Families who lost their own to the State hear a pledge against racism and wait to see whether the pledge runs south as well as north.

That is how an interval is mistaken for peace. The guns are silent. The inventory is not. “Tiger” and “traitor”, “racist” and “patriot”, remain stock in trade. So long as those words pay, in applause, in airtime, in a complaint that wounds an opponent, someone will keep them in circulation. Professor Goonesekere’s warning sits exactly there. Leadership means going beyond rhetoric. The law is not written for those who already respect it. It is written for those who violate it. When violation carries no cost, the slogan itself becomes a form of impunity.

What civic reform would actually look like

The work is unglamorous, which is why it is avoided. First, equal enforcement. If the organisation is proscribed, the prohibition travels with the speaker. An SLPP stage in Anuradhapura and a commemoration in the North are not two legal systems. The CID complaint now on the file should be treated as a test of that rule, not as a trophy for whoever lodged it.

Second, an end to ethnic first-identity as an electoral method. A civic identity, Sri Lankan first, faith and language held without being turned into a passport, will not appear by exhortation. It appears when the dividend for division falls and the dividend for competence rises.

Third, a cost for lighting kindling. Heritage sites and religious places are not campaign props. Universities are not martyr calendars. Media that carry a charge must carry the correction. Records that hold an untested allegation must not shadow a working life after the allegation has failed.

Fourth, one standard for those who served the State and those who fought it. Wrongdoers on every side belong in a court, not in a diplomatic weather system and not in a rally chant. Collective punishment of a profession is not accountability. A cheer for a banned name is not unity. A slogan against racism is not a policy until it binds the speaker’s own side.

None of this requires a new brand of commission. It requires a State that stops allowing division to be a career. South Africa’s imperfect bargain at least tried to bind both sides inside one process. Colombia wrote one jurisdiction for guerrillas, paramilitaries and State forces. We have preferred two international ledgers and a third, domestic one on which the war is rented out by the evening. Last week’s scenes, a guarantee in Chavakachcheri, a cheer in Anuradhapura, a serious speech that must not be stolen, are not opposites. They are the same unfinished settlement, spoken in three registers.

The President’s sentence should be kept, and then made expensive to break. Professor Goonesekere’s standard should be kept, and then applied to those who clap for it. Racism will not be defeated by a rally, and a proscribed organisation will not be dissolved by a complaint. They will be reduced only when the State, and the parties that live off the State, stop treating the finished war as inventory. True national stability is not the memory of a victory. It is the construction of a civic order that no longer needs that victory to be refought, in Anuradhapura or in Geneva, in order for someone to remain relevant.

The writer is a retired Senior Superintendent of Police who served in intelligence and counter-terrorism. He is the author of Security Beyond Enforcement: Practical Approaches for a Safer Nation. This column is a stand-alone extension of an earlier argument on two standards in one conflict. Views expressed are his own.

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Defend civic space upon which peace is built

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by Jehan Perera

International Peace Day was observed on 21 September. It finds Sri Lanka with a genuine achievement to record and a demanding test to meet. The UN’s theme this year was “Invest in Peace: For Everyone, Everywhere, Every Day.” It also honoured the “everyday architects of peace”—people driving local action and building a lasting peace from the ground up. In the 2026 Global Peace Index, Sri Lanka rose 30 places, from 97th to 67th among 163 countries. Over the same period, global peacefulness declined for the twelfth consecutive year to its lowest level since the index began, and South Asia suffered the sharpest regional deterioration. The test is whether the government will protect the civic space in which those architects of peace work.

Sri Lanka’s improvement is real and deserves acknowledgement. In this year’s review, issued a few weeks ago, the UN High Commissioner for Human Rights acknowledged progress in the form of action against corruption, arrests and investigations linked to political killings, enforced disappearances and the 2019 Easter Sunday attacks, and continued official denunciation of racism. A ranking, however, records conditions at a particular moment. It does not guarantee that they will last. Sustainable peace will depend on three factors. These are whether the government addresses the unresolved causes of conflict, whether it strengthens accountability for past and present abuses, and whether it protects the civic space in which peace is built from below. On the first two the record is incomplete. On the third, the draft NGO law threatens to weaken the very organisations that press for the other two.

What holds Sri Lanka back from a higher place are the same things that fed the war at home and also feed international conflict that rages elsewhere in the world. These are racism or ethnic nationalism that is narrow-focused, corruption and lawlessness. Equality, accountability and the rule of law are their remedies. The present government has committed itself to these, and is a significant improvement over governments of the recent past. But these pillars are not held up by governments alone. Peace is made in villages, workplaces and university campuses. It is made by families who insist on the truth about their disappeared, by journalists and lawyers who expose abuse, and by community organisations that bring Tamils, Muslims and Sinhalese into practical cooperation.

Unfinished Work

The UN High Commissioner’s report to the current Human Rights Council session, covering October 2025 to July 2026, shows how much remains to be done. The Prevention of Terrorism Act is still being applied, producing arbitrary arrests and long detention without charge. The report calls for a moratorium pending repeal and for the release of long-term detainees. Military-occupied land has not been released, memorialisation lacks support, and tensions over land and religious sites persist. The Batticaloa district illustrates how such problems endure. In the past three years, two Presidents, Ranil Wickremesinghe and Anura Kumara Dissanayake, have visited and instructed that the dispute over grazing land in Mailaththamadu and Mathavanai be resolved. It is a dispute between Tamil cattle farmers and outside Sinhala cultivators, and it has not been resolved. When two Presidents issue instructions and nothing changes, the fault lies in the machinery of State. An unresolved dispute does not stand still. It hardens into the next grievance.

Accountability shows the same pattern. The report documents torture and deaths in custody, and surveillance and intimidation of activists, journalists and civil society. Serious cases remain stalled for years, among them the killing of seventeen aid workers of Action Contre la Faim in Muttur two decades ago. Sharper still is the case of the Eastern University refugee camp at Vantharamoolai, where in 1990 the army took away 158 persons in a single day. They were never seen again. The camp’s officer-in-charge, Dr T. Jayasingam, later Vice Chancellor of the university, identified the officers responsible. More than three decades on, those officers have not been questioned. These cases are still remembered because families, survivors and independent witnesses have refused to let them be forgotten. Meanwhile several commissions of inquiry have completed their investigations but nothing further has happened.

What South Africa, Argentina and other post-conflict societies have found indispensable are four pillars of what is called “Transitional Justice” which are truth, accountability, reparations and non-recurrence. In Sri Lanka’s circumstances, truth means credible, independent investigation of what happened to the disappeared, and support for memorialisation. Accountability means prosecuting Muttur, Vantharamoolai and comparable cases, and removing credibly accused persons from senior office. Reparations mean compensation for victims and the return of military-held land. Non-recurrence means repealing the Prevention of Terrorism Act, releasing those held under it in the meantime, and resolving local disputes such as Mailaththamadu before delay hardens them. A country that buries its past does not escape it. The past returns in the next generation.

Civil Society

It is against this background that the draft NGO law is most troubling. The proposed legislation contains sweeping provisions for State oversight and control of civil society organisations. Among these are enforcing a licensing requirement on NGOs, which is to be renewed every three years, and severe penalties for not submitting reports on time, or for spending on emergency flood relief (for instance) when the NGOs mandate is peacebuilding (as an example) with possible sanctions including deregistration and having to shut down. Civil society groups have warned that it would confer excessive discretion over their registration and operations. Officials in Sri Lanka have abused such powers in the past. Additional power without effective checks invites further abuse. Sound regulation would have clear criteria for registration, an independent registrar and a right of appeal to the courts. What cannot be justified is a regime in which registration becomes a licence to be withheld from organisations that scrutinise policy, expose abuses or advocate for the rights of citizens.

Democracy is based on checks and balances. Those who press for accountability are part of those checks. The contradiction is plain. A government that has pledged accountability, equality and the rule of law ought not to be preparing to weaken the very organisations that press for their fulfilment. The organisations most exposed are those working on disappearances, land, memorialisation and reconciliation in the North and East, where the State’s record is weakest and the need for independent witnesses greatest. Silencing them would not remove the grievances they document. It would remove the channel through which those grievances are addressed peacefully. The government appears to be relenting, which is welcome, but a pause is not a withdrawal. The bill should be withdrawn and any replacement drafted in genuine consultation with those it would govern.

Investment in peace as called for by the UN in its International Peace Day theme implies commitment over time, with returns that come slowly. Sri Lanka’s 30-place rise on the Global Peace Index is a first dividend and nothing more. It can be built upon only if the government matches its commitments with action: withdrawing or fundamentally redrafting the NGO law, repealing or suspending the Prevention of Terrorism Act, and bringing Muttur, Vantharamoolai and Mailaththamadu to resolution. A higher place in a global index is not a certificate of success. Sri Lanka’s higher ranking is an encouraging start, but it will endure only if the space in which citizens speak, question and organise is protected. Peace is built from below, and a government that is serious about it will treat civil society as a partner rather than a threat.

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