May I suggest that DGCA/airlines in India impose a simple system regarding powerbanks?
Random/Surprise checks of 5-10 overhead stored bags in each flight post boarding so that flights don't get delayed.
And a 1 lakh INR (that's right) fine if a powerbank is found.
And of course, announcements about this while waiting to board or boarding the flight.
It's not that big an amount when you consider that lives could be at stake. And sometimes people need a nudge/incentive to break or form a habit.
@DGCAIndia @airindia @IndiGo6E @AkasaAir
Antariksh । अंतरिक्ष retweeted
Mahalaya marks the beginning of Devi Paksha, heralding the auspicious arrival of Maa Durga. As the sacred chants of Mahishasura Mardini resonate, devotees prepare to welcome the Goddess, celebrating the timeless triumph of good over evil.
A season of devotion, tradition and festivities begins.
#Mahalaya #MaaDurga #DurgaPuja #DeviPaksha
Would like the views of folks like @Blue_Footy and @CFCCentral3 on this. Maybe even folks like @pythaginboots @matissearmani @htomufc. It's not a partisan thing at all!
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While the competitiveness in the Premier League has undoubtedly improved in recent years (gap in quality between teams has reduced by and large, meaning the 'anybody can beat anybody' thing happens more often), the refereeing quality isn't as good as it ought to be, or arguably could be.
I understand the factor about referees facing abuse all the way up and down the system, and that's definitely not ideal, but it doesn't help when shoddy decisions, or worse, inconsistent benchmarks are used to apply to same or similar in-game moments or events.
For all the criticism it faces, I'd argue that VAR often comes off looking worse than it should, not because of the quality of decision making, but because of inconsistent decision making.
And this is where pattern-mapping through AI can be such a useful tool.
Take a season or two worth of footage. Maybe more. Feed various refereeing decisions/moments into it, recording what was the final decision at the time, as well as whether in hindsight it was the correct one or not. Have a panel of referees to help plug this into the system, away from the spotlight or the pressures of a live game.
So that next time, when a similar on-field occurence happens, the AI tool can immediately whip up the past 4-5 such occurences, what the decision taken there was, and what the recommended/consensus decision is in retrospect.
It then truly does what VAR was envisaged to do - help the human on-field and off-field referees in arriving at the probable correct decision, whilst at the same time rightfully protecting them from abuse from fans.
For example - Offside calls used to create controversy and generate abuse for officials earlier, now they don't. (Yes fans can moan about the small margins, but it's still not an incorrect decision).
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While the competitiveness in the Premier League has undoubtedly improved in recent years (gap in quality between teams has reduced by and large, meaning the 'anybody can beat anybody' thing happens more often), the refereeing quality isn't as good as it ought to be, or arguably could be.
I understand the factor about referees facing abuse all the way up and down the system, and that's definitely not ideal, but it doesn't help when shoddy decisions, or worse, inconsistent benchmarks are used to apply to same or similar in-game moments or events.
For all the criticism it faces, I'd argue that VAR often comes off looking worse than it should, not because of the quality of decision making, but because of inconsistent decision making.
And this is where pattern-mapping through AI can be such a useful tool.
Take a season or two worth of footage. Maybe more. Feed various refereeing decisions/moments into it, recording what was the final decision at the time, as well as whether in hindsight it was the correct one or not. Have a panel of referees to help plug this into the system, away from the spotlight or the pressures of a live game.
So that next time, when a similar on-field occurence happens, the AI tool can immediately whip up the past 4-5 such occurences, what the decision taken there was, and what the recommended/consensus decision is in retrospect.
It then truly does what VAR was envisaged to do - help the human on-field and off-field referees in arriving at the probable correct decision, whilst at the same time rightfully protecting them from abuse from fans.
For example - Offside calls used to create controversy and generate abuse for officials earlier, now they don't. (Yes fans can moan about the small margins, but it's still not an incorrect decision).
So many of the low-hanging, standard issues in football refereeing can be managed and resolved by AI in an objective manner.
Coaches or coaching staff stepping out of their earmarked zone being one of them. Let the gathered officials primarily focus on the on-field action.
Officials/VAR can have final discretion on if/how an errant official should be penalised, because sometimes there can be mitigating factors (player injury etc).
Always asking the right questions @SirayahShiraz. Appreciate the effort! 🙌🏻
Asked Xabi Alonso about Levi Colwill playing in this LCB position & how he can help him adapt + use his strengths, whilst Lacroix holds that central role he’s normally in @premierleague
These folks might well have done it previously or elsewhere, but I think it's time to request @ConnorHolden00 and @CFCCentral3 to do a bit on Reece James the midfielder, who can now once in a while play as RCB, or RB, or (god forbid) RWB.
How does he stack up, and his best use cases, attributes, who does he pair well with. All that. Throw some light for those of us getting nervous in the dark. 🙏🏻😅
Antariksh । अंतरिक्ष retweeted
A drought hit Tarangire in Tanzania in 1993 and killed 16 of the park's 81 elephant calves in nine months. Normally about two in a hundred die in a year.
The losses were not spread evenly. Some family groups walked out of the park and went looking for water elsewhere. One clan stayed. The clans that left lost far fewer calves.
The difference was who was leading. Elephant families are run by the oldest female, and the older she is, the better the family does. The last comparable drought in that region had been in the 1960s, thirty years earlier. The matriarchs old enough to remember it were the ones who left.
Researchers at Amboseli in Kenya tested this directly. They played lion roars to elephant families and watched. Male lions are about half again the size of females, and they are the real danger to a calf. Families with a matriarch in her sixties heard the difference at once, bunched, and charged the sound. Younger leaders treated a male roar like a female one and mostly ignored it.
She has heard lions hundreds of times. She has walked past herders, survived poaching years, been through droughts that killed other families' calves. Nobody taught her any of it. None of it is written down.
Which is why poaching a matriarch costs more than one elephant. Her tusks are the biggest, and she steps forward when the family is threatened, so she is the one who gets shot. Killing her removes the decision-maker and thirty years of map in the same moment. Leadership passes to the next oldest, usually a daughter, who inherits the position without inheriting anything that made it work.
Families in heavily poached populations have been documented breaking apart afterward, making worse choices about where to go, staying tighter to each other and getting less food.
Elephants have been recorded standing over a dead matriarch, touching her body with their trunks, returning to the spot for weeks afterward. Whatever that is, they do it for her and not for others.
She is old and past calving and she is the reason the rest of them are alive. Every year she keeps going, the family keeps a little more of what she knows.
I love this kind of approach. Have a few questions, but still, great stuff!
Also what @CricCrazyNIKS does to his surroundings when people randomly get runout. 😅
Antariksh । अंतरिक्ष retweeted
Meet Prof. Subhajit Bandyopadhyay, the IISER Kolkata chemist who mentored India's Chemistry Olympiad team to its best-ever finish this July.
He studied at the University of Burdwan for his bachelor's, then IIT Kanpur for his master's, before earning his PhD under Prof. Reginald Mitchell at the University of Victoria in Canada. He went on to postdoc with Prof. Ron Breslow at Columbia University and spent a year at Cambridge under Prof. Florian Hollfelder before joining IISER Kolkata as an Assistant Professor.
Since then, he's picked up 4 Best Teacher Awards from IISER Kolkata's own student community, become a Fellow of the Royal Society of Chemistry, and earned an Honorary Membership of the American Chemical Society.
This July, as Head Mentor, he guided India's 4-student team through the 58th IChO in Tashkent, Uzbekistan. All 4 came home with gold. India tied for Rank 1 with China and Vietnam, its best result in 27 appearances at the competition.
Mentor who spent 27 years building the platform his students needed just 5 days in Tashkent to stand on.
Another Golden Sweep by India as our Chemistry team bags 4 Gold medals securing Rank #1 (jointly with China, Vietnam, and Individual Participant (Russia)) at the 58th International Chemistry Olympiad, Uzbekistan (icho2026.uz).
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They all said that you must watch The Odyssey on Imax for the spectacle.
So I did.
Entire movie went by, not a single spectacle on screen.
Or even a monocle, for that matter.
This is somewhat beyond mortals like me, so let me ask @CFCCentral3.
My good man, I know nowadays it's possible to keep track of the minutes played by a player in a season across club and country. However, is there (yet) any enhanced analytical/data tool which throws up amount of 'intensity' in those minutes? Based on weather, venue, opponent and game state? I mean, there's got to be a difference in physical and mental intensity when chasing a lead away against a top side, as opposed to playing out a game at home while up by 2 goals right?

















