top of page

By:

Correspondent

23 August 2024 at 9:59:04 pm

Liberal Hypocrisy

A revealing test of liberalism is whether it can condemn an idea when it comes from someone it considers politically useful. A recent interview given by controversial former student activist Sharjeel Imam to a supposedly progressive portal has put sections of India’s self-proclaimed liberal establishment in a right quandary. In his interview, Imam outrageously questioned the democratic framework as a means of securing Muslim political rights, portrayed secularism as a majoritarian stratagem...

Liberal Hypocrisy

A revealing test of liberalism is whether it can condemn an idea when it comes from someone it considers politically useful. A recent interview given by controversial former student activist Sharjeel Imam to a supposedly progressive portal has put sections of India’s self-proclaimed liberal establishment in a right quandary. In his interview, Imam outrageously questioned the democratic framework as a means of securing Muslim political rights, portrayed secularism as a majoritarian stratagem and challenged the idea of a unified Indian nation while going so far as to label the Constitution a trap and denouncing parliamentary democracy itself The point is not what Imam believes; radical fundamentalism has always worn its extremism on its sleeve. The real issue is why his pronouncements have not provoked the kind of hysterical moral outrage routinely directed at Hindu nationalism. Imam, who became a prominent face of the anti-Citizenship Amendment Act protests of 2019–20, faces serious charges under the Unlawful Activities (Prevention) Act (UAPA) in connection with the Delhi riots conspiracy case and remains in judicial custody without conviction. The point is why are the voices, that routinely lecture the country on secularism, pluralism and constitutional morality, so conspicuously silent after Imam’s brazen statements. Figures like Imam have never existed in an ideological vacuum. Sections of the activist, academic and media elite gave the anti-CAA movement considerable moral and political support, and some commentators treated its more radical voices primarily through the prism of resistance to the Modi government, while wilfully sanitizing bigotry as 'dissent' and dressing up open sedition as mere political grievance When Hindu nationalist figures speak, their statements are meticulously dissected, parsed, and condemned for their threat to minority rights and secularism. Yet, when comparable or worse challenges to national cohesion, territorial integrity, and democratic principles emanate from minority or Islamist quarters, the same commentators suddenly discover the virtues of nuance, context and restraint. They retreat into a cowardly fence-sitting, desperate to avoid alienating a vocal constituency in their anti-regime coalition. Anything less than equal scrutiny turns universal principles into mere instruments of partisan convenience. This reveals a deeper, more embarrassing pathology among sections of the liberal establishment to conflate opposition to the government with absolute moral virtue. It exposes an unseemly willingness to forge Faustian bargains with extremist elements, operating on the crude and dangerous logic that the enemy of my enemy must be my ideological ally. An individual does not become a defender of democracy merely by opposing Narendra Modi, just as criticism of Islamist politics does not automatically make someone a Hindu nationalist. Ideological arguments must be judged by consistent standards rather than convenient labels. Liberalism that cannot confront illiberalism among its own ideological fellow-travellers is not principled liberalism. It then devolves into mere partisan hypocrisy and a hollow exercise in selective outrage that ultimately destroys the very democratic values it claims to defend.

When Science Becomes a Predictable Game

Writer: Dr. Kishore Paknikar
Dr. Kishore Paknikar
Apr 16
4 min read

As academic incentives harden into predictable pathways, science risks trading curiosity for predictable outcomes.

A recent article in Nature magazine describes an unusual online game from China in which players step into the life of a young faculty member. They must publish papers, secure research grants, manage teaching, and navigate institutional pressures. What is striking is not the game's premise but how real it feels to those who play it.


This reaction is worth pausing to consider. It suggests that scientific careers have become structured enough to be reproduced in a game. Science has always been about discovery. Today, in many contexts, it is beginning to resemble a system of production, in which results are expected, paths are fixed, and success follows a pattern. This shift is gradual and often invisible, which is why it is rarely questioned.

 

The most important point is not that academic life is stressful. Everyone already knows that. The real issue is that it has become predictable enough to be reduced to a game. A profession once known for curiosity, uncertainty, and free thinking now seems structured enough to be reduced to steps and outcomes. This change affects not only careers but also how new ideas emerge. When pathways are defined too early, imagination begins to operate within boundaries rather than beyond them.


Science was not always like this. It has often advanced through uncertainty, not only in its outcomes but also in its direction. Many discoveries came from accidents, failed experiments, or questions that did not fit accepted ideas. Researchers often followed their curiosity without knowing where it would lead. There was room for wandering, thinking, and even getting lost. There was also patience for ideas to mature slowly, without the constant need to produce visible results.


The simulation makes it clear that this is changing. When a scientific career is broken into steps with expected outcomes, the system becomes more rigid. The range of acceptable choices narrows, and so does the range of thinking. Young scientists internalize this logic. The question gradually shifts from what is worth exploring to what is likely to work. Over time, this way of thinking can become second nature. It does not feel imposed; it feels practical and even necessary.


Predictable Thinking

This also changes how decisions are made. Researchers begin to repeat what has worked before, with minor tweaks. Trying something very different feels risky. As a result, bold thinking becomes less common, even though it remains essential to meaningful discovery. A system that rewards predictability can gradually make thinking more predictable. Over time, even the definition of a ‘good idea’ begins to shift.


The meaning of failure also changes. Earlier, failure was part of the learning process. Many important ideas came from results that did not go as expected. Today, in many settings, failure is increasingly seen as a waste of time. If a result does not fit a clear story or a quick publication, it may be ignored. The system does not directly stop exploration, but it can make it difficult. This can slowly reduce the willingness to ask difficult or unconventional questions.


It is useful to imagine how some of the greatest scientists would have worked in such a system. What if Isaac Newton had been asked to publish regularly while thinking through ideas that led to Philosophiæ Naturalis Principia Mathematica? What if Charles Darwin had been judged every year on output while developing the theory behind On the Origin of Species? What if Albert Einstein had followed popular trends instead of questioning basic ideas of physics? And what if Richard Feynman had been forced to follow strict rules instead of thinking freely?

 

It is difficult to imagine their most important work emerging in the same way. Their ideas needed time, freedom, room for deviation, and tolerance for uncertainty that does not fit easily into structured systems. They also benefited from intellectual environments where curiosity was not constantly measured against short-term outputs.

 

The simulation described in Nature illustrates how today’s system works. Players must manage time, effort, and risk. They learn to choose actions that yield reliable results. In doing so, they learn how the system rewards certain behaviour.

 

This has a greater impact. Science has often been an open-ended search for answers. Now it increasingly looks like a planned activity with clear inputs and expected outputs. Creativity remains, but it operates within limits. The danger is not the presence of structure, but the narrowing of intellectual freedom within that structure.


Striking a Balance

Predictability gives a sense of control. It makes success seem like something that can be planned step by step. But science does not grow only through planning. It grows through uncertainty, where new and unexpected ideas emerge. Many important breakthroughs have come from directions no one could have predicted in advance.


The real challenge is to maintain balance. Science needs structure, especially for large projects and public funding. At the same time, it must protect freedom of thought and curiosity.


If young scientists are trained primarily to follow established paths, their ability to step outside them may diminish over time. This has implications not only for individual careers but also for the future of science. Many major discoveries came from ideas that did not follow a clear path.


The simulation described in Nature is therefore important. It shows how scientists experience their work today and how structured and predictable the system has become. The danger is not that science looks like a game. The danger is that it may slowly begin to behave like one.

 

This leads to a simple but important question. Do we want science to become something that can be played efficiently, or something that continues to surprise us?

 

(The writer is an ANRF Prime Minister Professor at COEP Technological University, Pune, and former Director of the Agharkar Research Institute, Pune. Views personal.)


Comments

bottom of page