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  • NL Team


    Four months after Chandrayaan-3 successfully landed on the moon, Newslaundry dives into the tricky questions that lie behind it. What are the benefits of a moon mission? Do we need a space programme at all? What does it take to run the Indian Space Research Organisation?


    Welcome to LetтАЩs Talk About: ISRO and Chandrayaan, where host Abhinandan Sekhri sits down with EK Kutty, former director (project planning program management) at ISRO, and Jayaram Kolangara, former deputy director at ISRO. TheyтАЩre joined by subscribers too who got to ask questions during a live Zoom session.


    Tune in for a free-wheeling chat on ISROтАЩs role in development communication, the future of space travel, the efforts of people behind the scenes at ISRO, and a lot more.


    Produced by Chanchal Gupta, edited by Chanchal Gupta and Samarendra K Dash.


    References


    India in Space: Between Utility and Geopolitics by Marco Aliberti


    Christopher NolanтАЩs Interstellar


    Robert ZemeckisтАЩs Contact


    Alfonso Cuar├│nтАЩs Gravity


    Adam McKayтАЩs DonтАЩt Look Up


    Why Civil Rights Activists Protested the Moon Landing


    The Moon Landing was Opposed by Majority of US 


    List of 6 manned moon missions: People who stepped on the moon after Neil Armstrong 

    How Many Times Has the US Landed on the Moon?


    Hosted on Acast. See acast.com/privacy for more information.

  • рд╢рд░рд╛рдлрдд рдХреА рджреБрдирд┐рдпрд╛ рдХрд╛ рдХрд┐рд╕реНрд╕рд╛ рд╣реА рдЦрддреНрдо, рдЕрдм рдЬреИрд╕реА рджреБрдирд┐рдпрд╛ рд╡реИрд╕реЗ рд╣рдотАж рдлрд┐рд▓реНрдо рдЬрдЬреНрдмрд╛ рдХреЗ рдЗрд╕ рдЖрдордлрд╣рдо рдбрд╛рдпрд▓реЙрдЧ рдХреЛ рдЗрд░рдлрд╛рди рдиреЗ рдЬрд┐рд╕ рдХрд╡рд┐рддрд╛рдИ рдХреЗ рд╕рд╛рде рдЕрджрд╛ рдХрд┐рдпрд╛ рд╡рд╣ рдХрд░реЛрдбрд╝реЛрдВ рд╣рд┐рдВрджреБрд╕реНрддрд╛рдирд┐рдпреЛрдВ рдХреЗ рджрд┐рд▓реЛрдВ рдореЗрдВ рдЙрддрд░ рдЧрдпрд╛. рд▓рдЧрднрдЧ рдЗрд╕реА рдмрд╣рддреЗ рд╣реБрдП рдЕрд╡рд┐рдХрд▓ рдЭрд░рдиреЗ рдХреА рддрд░рд╣ рдЕрдкрдиреА рдЕрджрд╛рдпрдЧреА рд╕реЗ рдЗрд░рдлрд╛рди рд╣рдо рд╣рд┐рдВрджреБрд╕реНрддрд╛рдирд┐рдпреЛрдВ рдХреА рджреБрдирд┐рдпрд╛ рдХрд╛ рд╣рд┐рд╕реНрд╕рд╛ рдмрдиреЗ рдереЗ. рдлрд┐рд░  29 рдЕрдкреНрд░реИрд▓ 2020 рдХреЛ рдЕрдЪрд╛рдирдХ рд╡реЛ рд╣рдорд╛рд░реА рдЗрд╕ рджреБрдирд┐рдпрд╛ рд╕реЗ рдЕрд▓рдЧ рд╣реЛ рдЧрдП. 


    рдпрд╣ рд╕рд┐рд░реНрдл рдЗрд░рдлрд╛рди рдХреЗ рдкрд░рд┐рдЬрдиреЛрдВ, рджреЛрд╕реНрддреЛрдВ, рд░рд┐рд╢реНрддреЗрджрд╛рд░реЛрдВ рдпрд╛ рдЙрдирдХреЗ рдкреНрд░рд╢рдВрд╕рдХреЛрдВ рдХреЗ рд▓рд┐рдП рджрд┐рд▓ рддреЛрдбрд╝рдиреЗ рд╡рд╛рд▓реА рдЦрдмрд░ рдирд╣реАрдВ рдереА рдмрд▓реНрдХрд┐ рдлрд┐рд▓реНрдореЛрдВ рд╕реЗ рдЬреБрдбрд╝реЗ, рдлрд┐рд▓реНрдореЛрдВ рдореЗрдВ рджрд┐рд▓рдЪрд╕реНрдкреА рд░рдЦрдиреЗ рд╡рд╛рд▓реЗ рд╣рд░ рд╢рдЦреНрд╕ рдХреЗ рд▓рд┐рдП рдПрдХ рдмрдбрд╝рд╛ рдЭрдЯрдХрд╛ рдереА. рдЗрд░рдлрд╛рди рддрд┐рд░рдкрди рдХреА рдХрдЪреНрдЪреА рдЙрдореНрд░ рдореЗрдВ рд╣рдорд╛рд░реЗ рдмреАрдЪ рд╕реЗ рдЪрд▓реЗ рдЧрдП. 


    рдЗрд░рдлрд╛рди рдиреНрдпреВрд░реЛрдПрдВрдбреЛрдХреНрд░рд╛рдЗрди рдирд╛рдо рдХреА рдПрдХ рдЕрд╕рд╛рдзреНрдп рдмреАрдорд╛рд░реА рд╕реЗ рдШрд┐рд░ рдЧрдП рдереЗ. рдпрд╣ рдмреАрдорд╛рд░реА рджреБрд░реНрд▓рдн рдХрд┐рд╕реНрдо рдХрд╛ рдХреИрдВрд╕рд░ рд╣реИ, рдЬрд┐рд╕ рдкрд░ рджреБрдирд┐рдпрд╛ рдореЗрдВ рдмрд╣реБрдд рдХрдо рдЦреЛрдЬреЗрдВ рдФрд░ рд░реАрд╕рд░реНрдЪ рдЙрдкрд▓рдмреНрдз рд╣реИрдВ. рд▓реЗрдХрд┐рди рдЗрд╕ рдХрдЪреНрдЪреА рдЙрдореНрд░ рдореЗрдВ рдЗрд░рдлрд╛рди рдиреЗ рдмрд╣реБрдд рд╣реА рдкрдХреА рдЙрдореНрд░ рд╡рд╛рд▓реЗ рдореБрдХрд╛рдо рд╣рд╛рд╕рд┐рд▓ рдХрд┐рдП. рдЗрд░рдлрд╛рди рдиреЗ рд▓рдЧрднрдЧ рд╣рд░ рддрд░рд╣ рдХрд╛ рдХрд┐рд░рджрд╛рд░ рдирд┐рднрд╛рдпрд╛. рди рд╕рд┐рд░реНрдл рдирд┐рднрд╛рдпрд╛ рдмрд▓реНрдХрд┐ рдЙрд╕реЗ рдЬреАрдпрд╛ рднреА. рдорд╛рд░реНрдЪ 2020 рдореЗрдВ рдЖрдИ рдлрд┐рд▓реНрдо 'рдЕрдВрдЧреНрд░реЗрдЬреА рдореАрдбрд┐рдпрдо' рдЗрд░рдлрд╛рди рдХреА рдЖрдЦрд┐рд░реА рдлрд┐рд▓реНрдо рдереА.  


    рдиреНрдпреВрд░реЛрдПрдВрдбреЛрдХреНрд░рд╛рдЗрди рдЯреНрдпреВрдорд░ рдХреА рдмреАрдорд╛рд░реА рдХреЗ рдмрд╛рд░реЗ рдореЗрдВ рдЦреБрдж рдЗрд░рдлрд╛рди рдЦрд╛рди рдиреЗ рд╕рд╛рд▓ 2018 рдореЗрдВ рдЯреНрд╡рд┐рдЯрд░ рдХреЗ рдЬрд░рд┐рдП  рдЬрд╛рдирдХрд╛рд░реА рджреА рдереА. рдЙрдирдХрд╛ рдЯреНрд╡реАрдЯ рдХреБрдЫ рдЗрд╕ рдкреНрд░рдХрд╛рд░ рдерд╛- "рдЬреАрд╡рди рдореЗрдВ рдЕрдирдкреЗрдХреНрд╖рд┐рдд рдмрджрд▓рд╛рд╡ рдЖрдкрдХреЛ рдЖрдЧреЗ рдмрдврд╝рдирд╛ рд╕рд┐рдЦрд╛рддреЗ рд╣реИрдВ. рдкрддрд╛ рдЪрд▓рд╛ рд╣реИ рдХрд┐ рдореБрдЭреЗ рдиреНрдпреВрд░реЛрдПрдВрдбреЛрдХреНрд░рд╛рдЗрди рдЯреНрдпреВрдорд░ рд╣реИ. рдЗрд╕реЗ рд╕реНрд╡реАрдХрд╛рд░ рдХрд░ рдкрд╛рдирд╛ рдореБрд╢реНрдХрд┐рд▓ рд╣реИ. рд▓реЗрдХрд┐рди рдореЗрд░реЗ рдЖрд╕рдкрд╛рд╕ рдЬреЛ рд▓реЛрдЧ рд╣реИрдВ, рдЙрдирдХрд╛ рдкреНрдпрд╛рд░ рдФрд░ рдЙрдирдХреА рджреБрдЖрдУрдВ рдиреЗ рдореБрдЭреЗ рддрд╛рдХрдд рджреА рд╣реИ. рдХреБрдЫ рдЙрдореНрдореАрдж рднреА рдмрдВрдзреА рд╣реИ. рдлрд┐рд▓рд╣рд╛рд▓ рдмреАрдорд╛рд░реА рдХреЗ рдЗрд▓рд╛рдЬ рдХреЗ рд▓рд┐рдП рдореБрдЭреЗ рджреЗрд╢ рд╕реЗ рджреВрд░ рдЬрд╛рдирд╛ рдкрдбрд╝ рд░рд╣рд╛ рд╣реИ. рд▓реЗрдХрд┐рди рдореИрдВ рдЪрд╛рд╣реВрдВрдЧрд╛ рдХрд┐ рдЖрдк рдЕрдкрдиреЗ рд╕рдВрджреЗрд╢ рднреЗрдЬрддреЗ рд░рд╣реЗрдВ.тАЭ


    рдЗрд░рдлрд╛рди рдХреА рдореМрдд рдХреЗ рдмрд╛рдж рдЙрдирдХреЗ рдмреЗрдЯреЗ рдмрд╛рдмрд┐рд▓ рдиреЗ рдЙрдирдХреА рдЖрдЦрд┐рд░реА рдпрд╛рдж рдХреЛ рдХреБрдЫ рдЗрди рд╢рдмреНрджреЛрдВ рдореЗрдВ рд╕рд╛рдЭрд╛ рдХрд┐рдпрд╛ рдерд╛- 'рдЙрдирдХреА рдореМрдд рд╕реЗ рджреЛ рддреАрди рджрд┐рди рдкрд╣рд▓реЗ рдореИрдВ рдЕрд╕реНрдкрддрд╛рд▓ рдореЗрдВ рдерд╛. рд╡реЛ рд╣реЛрд╢ рдЦреЛрддреЗ рдЬрд╛ рд░рд╣реЗ рдереЗ. рдЕрдВрддрд┐рдо рдкрд▓реЛрдВ рдореЗрдВ рдЙрдиреНрд╣реЛрдВрдиреЗ рдореЗрд░реА рдУрд░ рджреЗрдЦрд╛, рдореБрд╕реНрдХреБрд░рд╛рдП рдФрд░ рдХрд╣рд╛- рдореИрдВ рдорд░рдиреЗ рд╡рд╛рд▓рд╛ рд╣реВрдВ, рдореИрдВрдиреЗ рдЙрдиреНрд╣реЗрдВ рдХрд╣рд╛ рдРрд╕рд╛ рдирд╣реАрдВ рд╣реЛрдЧрд╛, рд╡реЛ рдлрд┐рд░ рдореБрд╕реНрдХреБрд░рд╛рдП рдФрд░ рд╕реЛ рдЧрдП.' рдЗрд░рдлрд╛рди рдиреЗ рдореМрдд рдХреЛ рднреА рд╣рдВрд╕рддреЗ рд╣рдВрд╕рддреЗ рд╣реА рдЧрд▓реЗ рд▓рдЧрд╛рдпрд╛. 


    рд▓реЗрдЯреНрд╕ рдЯреЙрдХ рдЕрдмрд╛рдЙрдЯ рдореЗрдВ рдиреНрдпреВрдЬрд╝рд▓реЙрдиреНрдбреНрд░реА рдХреЗ рдХрд╛рд░реНрдпрдХрд╛рд░реА рд╕рдВрдкрд╛рджрдХ рдЕрддреБрд▓ рдЪреМрд░рд╕рд┐рдпрд╛ рдиреЗ рдлрд┐рд▓реНрдо рд╕рдореАрдХреНрд╖рдХ рд╢реБрднреНрд░рд╛ рдЧреБрдкреНрддрд╛ рдФрд░ рдЕрдЬрдп рдмреНрд░рд╣реНрдорд╛рддреНрдордЬ рдХреЗ рд╕рд╛рде рдЗрд░рдлрд╛рди рдХреЗ рд╕рдлрд░, рд╢рдЦреНрд╕рд┐рдпрдд, рдЕрджрд╛рдпрдЧреА, рдХрд▓рд╛, рдлрди рдФрд░ рдЬреАрд╡рди рдХреЗ рдЕрдиреНрдп рдкрд╣рд▓реБрдУрдВ рдкрд░ рд▓рдВрдмреА рдмрд╛рддрдЪреАрдд рдХреА рд╣реИ. рддреЛ рдЖрдирдВрдж рд▓реАрдЬрд┐рдП.. 



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  • With Atal Bihari VajpayeeтАЩs retirement and LK AdvaniтАЩs poll rout, the 2014 Lok Sabha election paved the way for a new power duo to take over the BJP. It was after the RSS greenlighted Gujarat chief minister Narendra Modi as a prime ministerial candidate.


    Welcome to the final episode of LetтАЩs Talk About: BJP, which focuses on the ascendance of Modi, and his journey from a Sangh pracharak to Raisina Hill. With subsequent image makeovers, he managed to recast himself as a тАЬsaviourтАЭ of the Indian security state and win a landmark mandate for his party in the 2019 polls.


    Hosted on Acast. See acast.com/privacy for more information.

  • In the 90s and 00s, the BJP emerged as a pole in the coalition era as Atal Bihari Vajpayee forged new partnerships in power. However, as prime minister, his own jugalbandi with LK Advani saw fault lines. These were years of a series of minority governments тАУ a trend only reversed by Narendra ModiтАЩs decisive victory in 2014.


    Welcome to the third episode of LetтАЩs Talk About: BJP, which takes us through NDA governments, disagreements within the BJP in the wake of the Gujarat riots, the UPAтАЩs scam taint, the Anna Hazare-led anti-corruption protests, and the emergence of Modi.


    To listen to the full podcast, subscribe to Newslaundry.


    Hosted on Acast. See acast.com/privacy for more information.

  • In the sociopolitical landscape of the тАЩ80s and тАЩ90s, the BJP found itself at a crossroads, trying hard to consolidate its support base while navigating between Gandhian socialism and Hindu nationalism under the leadership of Atal Bihari Vajpayee and LK Advani.


    Welcome to the second episode of LetтАЩs Talk About: BJP, which looks at events that helped the party recast itself within the Indian polity, from Indira GandhiтАЩs assassination, to the Mandal Commission, the Shah Bano case, AdvaniтАЩs Rath Yatra and the Babri demolition.


    Hosted on Acast. See acast.com/privacy for more information.

  • The Bharatiya Janata Party is today the most dominant political force in India, with two consecutive landslide victories in the Lok Sabha and a march to power in several states. 


    But whatтАЩs the backstory behind the BJPтАЩs enduring rise, and who are the faces who cemented its formidable organisation?


    Welcome to the first episode of LetтАЩs Talk About: BJP, a series tracing the BJPтАЩs origins, and the antecedents of its ecosystem, from the pre-independence era to the Jana Sangh and the birth of the party in 1980.


    This is a sneak peek into the first episode. To listen to the full podcast, subscribe to Newslaundry. Pay To Keep News Free.


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  • рд╕рдЪреНрдЪрд┐рджрд╛рдирдВрдж рд╣реАрд░рд╛рдирдВрдж рд╡рд╛рддрд╕реНрдпрд╛рдпрди рдЕрдЬреНрдЮреЗрдп. рдЬрд┐рддрдирд╛ рднрд╛рд░реА рднрд░рдХрдо рдирд╛рдо, рдЙрддрдирд╛ рд╣реА рднрд╛рд░реА рднрд░рдХрдо рд╡реНрдпрдХреНрддрд┐рддреНрд╡. рдЕрдЬреНрдЮреЗрдп рдХрд╛ рдЬрд┐рдХреНрд░ рдЖрдиреЗ рдкрд░ рдПрдХ рдореВрд░реНрдзрдиреНрдп рдХрд╡рд┐, рд╢реИрд▓реАрдХрд╛рд░, рдХрдерд╛ рд╕рд╛рд╣рд┐рддреНрдп рдХреЛ рдПрдХ рдорд╣рддреНрддреНрд╡рдкреВрд░реНрдг рдореЛрдбрд╝ рджреЗрдиреЗ рд╡рд╛рд▓реЗ рдХрдерд╛рдХрд╛рд░, рдирд┐рдмрдиреНрдзрдХрд╛рд░, рджрд┐рдЧреНрдЧрдЬ рд╕рдореНрдкрд╛рджрдХ рдХреА рдЫрд╡рд┐ рд╣рдорд╛рд░реЗ рд╕рд╛рдордиреЗ рдЖрддреА рд╣реИ. рд▓реЗрдХрд┐рди рдЕрдЬреНрдЮреЗрдп рдХрд╛ рд╡реНрдпрдХреНрддрд┐рддреНрд╡ рдЗрд╕рд╕реЗ рднреА рд╡рд┐рд░рд╛рдЯ рдФрд░ рдмрд╣реБрдЖрдпрд╛рдореА рдерд╛. рдЕрдЬреНрдЮреЗрдп рдХреА рд▓реЗрдЦрдХреАрдп рдкрд╣рдЪрд╛рди рд╕реЗ рдЕрд▓рдЧ рдЙрдирдХрд╛ рд╡рд┐рджреНрд░реЛрд╣реА рдЕрддреАрдд, рдХреНрд░рд╛рдВрддрд┐рдХрд╛рд░реА рдЭреБрдХрд╛рд╡, рдЙрдирдХрд╛ рд╕реИрдиреНрдп рдЕрддреАрдд, рдЙрдирдХрд╛ рд░рд╛рдЬрдиреАрддрд┐рдХ рдЭреБрдХрд╛рд╡, рдЙрдирдХрд╛ рдирд┐рдЬреА рдЬреАрд╡рди рдЗрддрдирд╛ рдкрд░рддрджрд╛рд░ рдФрд░ рд╡рд┐рд╢рдж рд╣реИрдВ, рдЬрд┐рд╕реЗ рд╕рдордЧреНрд░рддрд╛ рдореЗрдВ рдЖрдЬ рддрдХ рд╕рдореЗрдЯрд╛ рдирд╣реАрдВ рдЧрдпрд╛ рд╣реИ. 


    рдЕрдЬреНрдЮреЗрдп рдХреЗ рддрдорд╛рдо рдЕрдирдЫреБрдП рдкрд╣рд▓реБрдУрдВ рдХреЛ рднрд╛рд░реА-рднрд░рдХрдо рдХрд┐рддрд╛рдм рдХреА рд╢рдХрд▓ рдореЗрдВ рд╣рдорд╛рд░реЗ рд╕рд╛рдордиреЗ рд▓реЗрдХрд░ рдЖрдП рд╣реИрдВ рдкрддреНрд░рдХрд╛рд░ рдФрд░ рд▓реЗрдЦрдХ рдЕрдХреНрд╖рдп рдореБрдХреБрд▓. рдЕрдХреНрд╖рдп рдХреА рд╣рд╛рд▓рд┐рдпрд╛ рдХрд┐рддрд╛рдм тАШрд░рд╛рдЗрдЯрд░, рд░реЗрдмреЗрд▓, рд╕реЛрд▓реНрдЬрд╝рд░, рд▓рд╡рд░- рдореЗрдиреА рд▓рд╛рдЗрд╡реНрд╕ рдСрдл рдЕрдЬреНрдЮреЗрдптАЩ, рдЕрдЬреНрдЮреЗрдп рдХреА рдЬрд╝рд┐рдВрджрдЧреА рдХреЗ рддрдорд╛рдо рдЕрдирджреЗрдЦреЗ рдкрдХреНрд╖ рдЙрдЬрд╛рдЧрд░ рдХрд░рддреА рд╣реИ. 


    рд▓реЗрдЯреНрд╕ рдЯреЙрдХ рдЕрдмрд╛рдЙрдЯ рдХреЗ рдЗрд╕ рдЕрдВрдХ рдореЗрдВ рд╣рдо рдмрд╛рдд рдХрд░реЗрдВрдЧреЗ рдЕрдХреНрд╖рдп рдореБрдХреБрд▓ рдФрд░ рдЙрдирдХреЗ рд╕рд╛рде рдУрдо рдерд╛рдирд╡реА рд╕реЗ. рдЕрдЬреНрдЮреЗрдп рдХреЗ рдмрд╣реБрдд рдХрд░реАрдм рд░рд╣рдХрд░ рдХрд╛рдо рдХрд░рдиреЗ рдХрд╛ рд╕реМрднрд╛рдЧреНрдп рд░рд╣рд╛ рд╣реИ рдУрдо рдердирд╡реА рдХреЛ. рдЪрд╛рд░ рджрд╢рдХреЛрдВ рддрдХ рдкрддреНрд░рдХрд╛рд░рд┐рддрд╛ рдХрд╛ рдЕрдиреБрднрд╡, рд╣рд┐рдВрджреА рдкрддреНрд░рдХрд╛рд░рд┐рддрд╛ рдореЗрдВ рдореАрд▓ рдХрд╛ рдкрддреНрдерд░ рд░рд╣реА рдЬрдирд╕рддреНрддрд╛ рдЕрдЦрдмрд╛рд░ рдХреЗ рд╕рдВрдкрд╛рджрдХ рдкрдж рд╕реЗ рдкрджрдореБрдХреНрдд рд╣реБрдП рдУрдо рдерд╛рдирд╡реА рдХреЗ рдирд╛рдо рдЕрдЬреНрдЮреЗрдп рдХреА рдЬрдиреНрдорд╢рддреА рдХреЗ рдореМрдХреЗ рдкрд░ рдПрдХ рдЧреНрд░рдВрдердиреБрдорд╛ рдкреБрд╕реНрддрдХ рдЕрдкрдиреЗ-рдЕрдкрдиреЗ рдЕрдЬреНрдЮреЗрдп рдХрд╛ рд╕рдВрдХрд▓рди-рд╕рдВрдкрд╛рджрди рдХрд╛ рд╢реНрд░реЗрдп рд╣реИ. 


    рддреЛ рдЕрдХреНрд╖рдп рдореБрдХреБрд▓ рдФрд░ рдУрдо рдерд╛рдирд╡реА рдХреЗ рд╕рд╛рде рд▓реЗрдЯреНрд╕ рдЯреЙрдХ рдЕрдмрд╛рдЙрдЯ рдЕрдЬреНрдЮреЗрдп.


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  • Lets Talk About the Rashtriya Swayamsevak Sangh is our three-part deep-dive podcast into the RSS and how it became the formidable force that it is.


    This live session is in conversation with Abhinandan Sekhri, Shardool Katyayan, and Vijai Trivedi.


    Tune into Let's Talk About the RSS here: https://www.newslaundry.com/podcast/lets-talk-about/lets-talk-about-rss


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  • In the third and final episode of this series, we pick up from where we left off тАУ the blossoming of the RSS under its third chief, Balasaheb Deoras. Moving through the JP movement to the Emergency to the birth of the Janata Party, this episode tracks the role of the RSS across epochal moments in IndiaтАЩs history. 


    From Deoras to Rajendra Singh to KS Sudarshan to Mohan Bhagwat, the episode moves into the 21st century, spanning the consolidation of the Hindutva establishment and Babri Masjid demolition, the first BJP-led union government, and the ascent of Narendra Modi. 


    It also tries to answer a fundamental question: where will the RSS go from here?


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  • In episode 1 of this three-part series, we left off in 1947. After the horrors of Partition, political leaders across the spectrum were battling disenchantment among their followers. The RSS was no exception, but its work during Partition stood it in good stead. 

    Then came the assassination of Mahatma Gandhi, and the goodwill generated by the RSS came crumbling down.


    How did the RSS pick itself up and what were its primary motivations at the time? What is the truth behind the conflicting narratives on GodseтАЩs ties to the Sangh? And what changed between the Golwalkar years and the Deoras years that followed?


    To listen to the full episode, subscribe to Newslaundry. If youтАЩre not a subscriber, use the discount code LTA20 and get 20 percent off our annual plans (and score some free merchandise too)! This coupon code is only valid if you buy the subscription on our website.


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  • The Rashtriya Swayamsevak Sangh, the fount of Hindutva, is arguably the most powerful and influential organisation in India. It's three years from turning 100 and its influence permeates all spheres, from politics to society.


    But how did this behemoth come to be, and where is it likely to go?


    Welcome to episode 1 of LetтАЩs Talk About: RSS, hosted by Abhinandan Sekhri and Shardool Katyayan. In this episode, Shardool and guests talk about their personal journeys growing up in the Sangh. Parallelly, this episode also explores the birth of the RSS in British India and the life of Keshav Hedgewar, the man who was the seed to what would eventually be the RSSтАЩs tree. Featuring guest panellists like Hartosh Singh Bal, Hitesh Shankar, and Walter K Andersen, the episode pieces together the early days of the RSS, including the many challenges it faced in newly independent India.


    Listen.


    To listen to the full episode, subscribe to Newslaundry. If youтАЩre not a subscriber, use the discount code LTA20 and get 20 percent off our annual plans (and score some free merchandise too)! This coupon code is only valid if you buy the subscription on our website.


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  • Check out Part 1 of the conversation here.


    In part two of this special edition of LetтАЩs Talk About, the Newslaundry team of Abhinandan Sekhri, Raman Kirpal, Manisha Pande, Anand Vardhan, Shardool Katyayan, and Mehraj D Lone continue their conversation on religion, this time focusing on the intersection of religion and politics.


    Abhinandan asks the panel whether it thinks mixing religion and politics is inevitable or desirable. He says politics has merely тАЬreplacedтАЭ religion while still keeping aspects of it intact. Manisha thinks religion is an important part of peopleтАЩs lives and, therefore, тАЬpolitics is always going to be a feature of itтАЭ.


    Listen.


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  • In this special edition of LetтАЩs Talk About, the Newslaundry crew of Abhinandan Sekhri, Raman Kirpal, Manisha Pande, Anand Vardhan, Shardool Katyayan, and Mehraj D Lone sit down for a freewheeling discussion about religion, its place and significance in our world.

    Primarily, the theme is whether religion has done more good or more harm. 


    Abhinandan and Mehraj both argue that religion has done more good than harm while the rest of the panel express mixed views.


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  • Feminism as a social, political and historical phenomenon has assumed many shapes and forms through the ages. But what does feminism mean in the Indian context? Can we chart out a linear history of the movement in India? 


    IndiaтАЩs movement has its own complexities, varying in definition and scope across class, caste, and creed. Gender dynamics and power imbalances have been instrumental in the oppression of women, and suppression and punishment is a tool to curb тАЬtransgressionsтАЭ and maintain the status quo. Women have not only challenged this forced subservience but have, in many instances, overturned these systems too.


    So, the goal of this podcast is not to define feminism, but to examine IndiaтАЩs social structures and the feminist resistance to them at specific moments in history.


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  • When a standard or classification is built on an idea of тАЬnormalтАЭ, then the decision-making system will fail those outside that idea. It will fail the extraordinary. ItтАЩs similar to what happened in the case of athlete Dutee Chand, who went on to win a landmark case that declared void the sporting standard of testosterone levels. 


    After all, nature is not neat. And itтАЩs the outliers that push the species forward тАУ something that automated decision-making systems, including algorithms, donтАЩt really understand. In Dutee's case, understanding the decision making, and the transparency in it, was crucial to her right to redress.


    In the final episode of LetтАЩs Talk About Big Data, we talk to Laura Reig, a PhD student at Denmark Technical University, on how AI makes mistakes in gender classification, and Chirag Agarwal, a research fellow at Harvard University, about what explainability in AI means. We also talk to Joy Lu, an associate professor at Carnegie Mellon University, on what makes for a good explanation of what an algorithm is doing.


    Listen.



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  • Being perfectly rational is not an evolutionarily viable form of reasoning. ItтАЩs slow and requires a lot of information that may not always be available.


    What helps is reasoning through bias: a cognitive shortcut that is quick, doesnтАЩt require perfect information, gets the job done, and reduces the kind of errors that have existential consequences.


    Algorithms have biases too. But over time, biases have started reinforcing themselves, further disenfranchising the disenfranchised. So, what do we do about it?


    We talk to Osoba Osonde, a senior information scientist, co-director of the Center for Scalable Computing and Analysis, and professor at the Pardee RAND Graduate School, to discuss how we can make algorithms fairer. We also talk to Benjamin Boudreaux, a professor at the Pardee RAND Graduate School, about what it means to make algorithms fairer.


    Listen. 


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  • The right to privacy is our right to identity. And as human experience has evolved over time, privacy has changed with it.


    In this episode, we discuss with Arvind Narrain, cofounder of the Alternative Law Forum, how our understanding of privacy has evolved over time. We talk to Rega Jha about how the internet subverts our privacy without even intending to. We also speak to Rishabh Poddar, who is building a privacy-preserving technology at the University of California, Berkeley.


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  • The genius of the metaphor is that it helps us understand complex models we canтАЩt articulate. When the Hindu supremacists say тАЬBharat MataтАЭ, for example, they are presenting a well understood cognitive model that explains nourishment and loyalty and using it to explain nationalism. When they say тАЬGau MataтАЭ, the idea of nourishment and our loyalty to it is brought to the cow.


    In many ways the metaphor epitomises the kind of intelligence computers struggle with. Reasoning by metaphor is a form of reasoning thatтАЩs flexible and nimble, unfixed and still resilient. It uses ideas from outside systems to explain systems, maps a cognitive model from a familiar context to another. We, human beings, can do this because a number of things came together for us: we have very sophisticated abilities to speak, we recognise patterns, we understand the unspoken, we can imagine what isnтАЩt in front of us, we have a pool of shared human experience (another metaphor!), we can see concepts and we can see relationships between concepts.


    So, what does human intelligence do that machine intelligence canтАЩt? What can they both not do? 


    In this episode, we explore the limits of artificial intelligence. We speak to Shubham Bindlish who runs an AI firm that scrapes cricket data to help make predictions for fantasy cricket. We also speak to Joseph Paul Cohen who has built AI that can diagnose diseases from chest x-rays. They shed light on how both their AI infers data and the limitations that come with it.


    Listen.


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  • On July 12, 2020, a team from the National Investigation Agency and the Pune police landed at Sadiya ShaikhтАЩs doorstep. Sadiya, 22, was arrested on suspicion of being in contact with тАЬISIS sympathisersтАЭ and helping to plan attacks in India. It wasn't her first interaction with the police; she had been тАЬderadicalisedтАЭ at the age of 17. 


    By 2017, ISIS had lost most, if not all, of its territory in the Middle East, but it survived and thrived in the dark corners of the internet, keeping itself on life support.


    Tune into this snippet of Let's Talk About: ISIS in India, where host Priyank Mathur tries to understand if and how the terror groupтАЩs influence has reached India, using SadiyaтАЩs case as context, and how law enforcement agencies have reacted to it. 


    Subscribe to Newslaundry and listen to the full episode here.


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  • When I began researching for this, the pilot episode, it was immediately apparent to me that Big Data was fundamentally different from data as we have known it for hundreds of years. We could just do so much more with it. It was changing industries, governments, people, and relationships between these entities rapidly and permanently. But what I couldnтАЩt get a finger on was why.  Why was Big Data different from data as we have known it for hundreds of years? If itтАЩs something ancient, just bigger, why does it change the world?


    I didnтАЩt have to wait too long to find the answer. In the very first chapter of Victor Meyer SchonbergerтАЩs Big Data, a book written about seven years ago, he gets to it pretty straight. When things change a lot in scale, they begin to change in essence also. If the rate of change is dramatic (double differential is out of whack), the thing itself begins to change. This is what makes Big Data essentially different from data ever before in human civilization.


    This is how he explains it: an image is an image is an image. But speed these images up so the brain sees them as a continuum, and what you have made is a movie. A change in speed led to a change in essence. HereтАЩs another example: gravity acts on all of us, but if youтАЩre really small, like an insect, it barely has any effect on you. Again, change scale dramatically, and the essence begins to change.


    A glass of water is fundamentally different from a tsunami. A drizzle is fundamentally different from a hurricane.


    Think about the coronavirus pandemic. WeтАЩve had economic downturns before. WeтАЩve had unemployment before. WeтАЩve had urban-rural migrations before. WeтАЩve all experienced sickness before. Viruses come and go every year. WeтАЩve had natural disasters before. What makes this pandemic so destructive is the scale and speed of it. The coming together of mass unemployment, global economic collapse, mental health falling off a precipice, distorted patterns of living and migration and human behaviour. Together, at this scale and at this speed, the essence of life today is different from the essence of life at the beginning of 2020.


    The idea that after a point quantity and quality are inherently related is not a new one. ItтАЩs one of the three forgotten laws of Dialectical Materialism which inspired a lot of Karl MarxтАЩs work. When quantity changes a lot, after a point, quality begins to change as well. This is the idea that explains why big changes in wealth distribution bring big changes in the essence of social structures.


    This law, in turn, comes from a  much older philosophical idea: AristotleтАЩs Heap Paradox.


    This is the Heap Paradox: if you have a heap of sand and you remove one grain from it, itтАЩs still a heap. Remove one more, itтАЩs still a heap. One more, itтАЩs still a heap. But if you do this long enough, if you scale up the removal of grains, itтАЩll no longer be a heap. The essence of the sand heap will change.


    This is at the core of understanding what Big Data is. When the quantity of data changed, its essence changed as well.


    Listen.


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