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By:

Bhalchandra Chorghade

11 August 2025 at 1:54:18 pm

Colour of Victory Should Never Need a Political Palette

For nearly a century, Indian hockey, or for that matter any team representing the country, has been synonymous with one colour, ok blue. It is the shade that witnessed eight Olympic gold medals, the artistry of Dhyan Chand, the revival under Harmanpreet Singh, ICC ODI and T20 World Cups, and countless moments when the tricolour rose above the podium. The jersey was never merely a piece of fabric; it became part of India’s sporting identity. Now, Hockey India’s decision to replace the...

Colour of Victory Should Never Need a Political Palette

For nearly a century, Indian hockey, or for that matter any team representing the country, has been synonymous with one colour, ok blue. It is the shade that witnessed eight Olympic gold medals, the artistry of Dhyan Chand, the revival under Harmanpreet Singh, ICC ODI and T20 World Cups, and countless moments when the tricolour rose above the podium. The jersey was never merely a piece of fabric; it became part of India’s sporting identity. Now, Hockey India’s decision to replace the traditional blue with saffron for the away kit has triggered a debate far larger than sport. Is this simply a marketing exercise? A harmless aesthetic choice? Or another step towards painting every national institution in the colours of the ruling political narrative? The answer perhaps lies not in the jersey itself, but in the context. No one disputes saffron’s place in India’s history. It is one of the colours of the national flag and symbolises courage and sacrifice. Equally, blue carries deep civilisational and constitutional significance—from Lord Krishna to Dr. B.R. Ambedkar, and from the Ashoka Chakra at the centre of the Tiranga to the identity Indian sport has built over decades. The irony is striking. For years, administrators proudly marketed India’s teams as the “Men in Blue” and “Women in Blue.” The colour transcended cricket and became the common sporting identity across disciplines. Today, without any compelling sporting necessity, that identity appears expendable. Supporters argue that many countries use alternate jerseys. Indeed, they do. Australia wears green and gold. Brazil alternates between yellow and blue. Football clubs routinely unveil fresh designs every season. But there is a difference between refreshing a brand and redefining a national sporting identity. When symbolism repeatedly moves in only one ideological direction, questions become inevitable. Perhaps the next logical step would be renaming the blue astroturf into saffron turf as well. After all, consistency is important. Sarcasm aside, sport derives its greatest strength from its ability to unite people beyond politics. Fans cheer goals not governments. They celebrate drag flicks not ideological colour charts. An Indian victory over Pakistan or Australia has never depended on whether the players wore blue, white or orange. It depended on skill, preparation and character. The danger lies in normalising symbolic interventions that appear unnecessary. One isolated decision may be dismissed as coincidence. But when institutions across sectors—from textbooks to public spaces, from cultural bodies to sporting symbols—begin reflecting similar aesthetic choices, citizens are entitled to ask whether coincidence has quietly become policy. This is not an argument against saffron. It is an argument against selective symbolism. India’s greatest strength has always been its pluralism. The Tiranga itself does not privilege one colour over another. Saffron stands with white and green, held together by the blue Ashoka Chakra. Remove the balance and the flag loses its meaning. Ironically, the colour being sidelined is the one sitting at the heart of the national flag. Administrators would do well to remember that sporting institutions inherit traditions; they do not merely manage brands. Jerseys evoke memories that marketing campaigns cannot manufacture. The blue shirt reminds millions of Olympic triumphs, Asian Games glory and generations of hockey lovers who never asked what ideology their team’s colour represented. Sport should remain one of the few arenas where citizens see only India—not competing political shades of India. If Hockey India genuinely wishes to modernise the sport, there are more pressing priorities than changing colours. Better domestic leagues, stronger grassroots programmes, improved infrastructure and higher player welfare would generate far more excitement than a redesigned jersey. Winning medals, laurels and titles changes history. Changing colours merely changes wardrobes.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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