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  1. Calling Amrutha....... 1 2 3

    By Yuva Nataratna,
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    • 1.3k views
    • Yuva Nataratna
    • Yuva Nataratna

  3. India Vs Australia Official Thread 1 2 3

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  5. I Know This Thread And My Id Will Be Deleted :( 1 2 3

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  6. Oka manchi Horror Movie..chustunte chichu poyali ......alantidi kavali.... 1 2 3

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  7. Yedhi Nizam Yedhi Abadham? 1 2 3

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  8. Weekend @ Boston 1 2 3

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  9. Tg Next Bihar 1 2 3

    By H1lenijeevitham,
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    • 1.1k views
    • Vancouver_June24
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  10. Calling Globaladmin..... 1 2 3

    By Venky Fan,
    • 40 replies
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    • Pilla Zamindar

  11. Not So Good Looking Husband 1 2 3

    By sherlockholmes_anon,
    • 40 replies
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    • GULABJAM
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  12. I Think We Should Have These In India 1 2 3

    By psycopk,
    • 40 replies
    • 1.6k views
    • Acetone
    • Acetone

  13. Andhra Pradesh Struggles To Get Govt Employees To Move To New Capital 1 2 3

    By CKRAVI,
    • 40 replies
    • 1.1k views
    • CKRAVI
    • CKRAVI

  14. Imessage Teesesina Anbe Mayya Sucks 1 2 3

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    • 40 replies
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    • jersey babai
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  15. @@@@@@@@@ Calling Kingmakers --- Damn Serious Issue @@@@@@@@@@@ 1 2 3

    By chowdary9,
    • 40 replies
    • 1.2k views
    • Anta Assamey
    • Anta Assamey

  16. Calling Patriot 1 2 3

    By Hangover .,
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    • sombarey

  17. Idi Fans Batuku 1 2 3

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  18. Lolzzz Zooo 1 2 3

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  19. Will Y S R Family End In Jail? 1 2 3

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    • ysrmala
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  20. Dil Surya gaadu naaku PM pettadu 1 2 3

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    • 40 replies
    • 903 views
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  21. Ameesha Patel Aunty...adedo Magazine Ki Photo Shoot Antaa 1 2 3

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    • 40 replies
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  22. Friday Daka Chusi Em Thelakapote Bhayankaram Ayena 1 2 3

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    • 40 replies
    • 1.4k views
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    • horizontallycut

  23. I wanted to share my feelings 1 2 3

    By Deletedid1,
    • 40 replies
    • 1.2k views
    • govardhan
    • govardhan

  24. Calling Mickey 1 2 3

    By samantha.,
    • 40 replies
    • 630 views
    • lingam.mama
    • lingam.mama

  25. Manasu leni Samsaram...Shavam to Srungaram lantidi... 1 2 3

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      Health insurance scam in India Saif Ali khan gets free money for his treatment while common man

      Stories like this trigger anger because they touch a deep nerve: the feeling that insurance doesn’t play by the same rules for everyone. When people read headlines about celebrities receiving “cashless treatment” or seemingly effortless claim approvals, it reinforces a belief many already carry — that the system works smoothly for the powerful, and painfully for the common buyer. The hook isn’t really about Saif Ali Khan or any single case. It’s about comparison. People immediately contrast it with their own experiences of delays, deductions, and endless follow-ups. The real problem is that insurance outcomes are judged emotionally, but insurance structures are built technically. What looks like “free money” from the outside is often a combination of employer group cover, high-end policy design, negotiated hospital contracts, and zero sub-limits. Meanwhile, most individuals buy retail policies with caps, co-pays, and structural constraints they never fully understood. Both are insured — but not equally protected. This is where frustration turns into the word “scam.” Not because fraud is proven, but because expectations were never calibrated. People assume insurance is a level playing field. In reality, coverage strength varies widely even among regulator-approved policies. The system isn’t secretly changing rules — it’s exposing differences that were always there, just invisible at purchase time. The uncomfortable discovery is that insurance quality isn’t binary. It’s not “has insurance” versus “doesn’t.” It sits on a spectrum shaped by policy structure, insurer claim behavior, location-based medical costs, and how resilient a policy is under stress. Most consumers never see where they fall on that spectrum until a crisis forces the reveal. This gap is exactly what tools like BimaScore are trying to surface early. Instead of relying on stories, headlines, or assumptions, it translates real-world policy strength into a 400–1000 clarity rating. Powered by Bima Analyze — an AI engine that evaluates 100+ real-world factors without document uploads — it helps people understand their position before comparisons become painful. The vision isn’t to defend insurers or dismiss public anger. It’s to replace surprise with awareness. When people know how strong their coverage actually is, stories like these stop feeling personal — and decisions become grounded.
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      ***** Uncles Fish ekkada kontaru *****

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      ***** Uncles Fish ekkada kontaru *****

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