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  1. Memu Bi-election ki dhoraaam..!! 1 2 3 4 7

    By Sphinx,
    • 91 replies
    • 2.4k views
    • erraMirpakaya
    • erraMirpakaya

  3. Opt Period Lo Marriage Aithe Ela? 1 2 3 4 7

    By JALSA_KISHORE,
    • 91 replies
    • 3.6k views
    • chicago
    • chicago

  4. Calling Dalapathi 1 2 3 4 7

    By dkchinnari,   
    • 91 replies
    • 2.5k views
    • dkchinnari
    • dkchinnari

  5. How Modi Brought Down 2 Youths Climbed On To A Tree During His Rally 1 2 3 4 7

    By donganaaK,
    • 91 replies
    • 3.1k views
    • sittiman
    • sittiman

  6. me intlo me position enti......... 1 2 3 4 7

    By I hate caste......,
    • 91 replies
    • 2.1k views
    • Bhargav2010
    • Bhargav2010

  7. Pilla Ps Ki Idhoka Trend Aypoyindhi ... 1 2 3 4 7

    By powerstar02,   
    • 91 replies
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    • posaanisam
    • posaanisam

  8. ********* USELESS FELLOW*********** 1 2 3 4 7

    By Alfred pichikaaki,
    • 91 replies
    • 1.5k views
    • Nellore Pedda reddy
    • Nellore Pedda reddy

  9. Felt Better Talking 1 2 3 4 7

    By Ruler4Dmasses,   
    • 91 replies
    • 2.6k views
    • seelavathiaunty
    • seelavathiaunty

  10. nenu join ayyi 1 year aindi... 1 2 3 4 7

    By skchinnari,
    • 91 replies
    • 1.8k views
    • skchinnari
    • skchinnari

  11. Edho Theliyani Baadha 1 2 3 4 7

    By chinni005,
    • 91 replies
    • 2.4k views
    • KondapalliRaja
    • KondapalliRaja

  12. Roger Federer 1 2 3 4 7

    By dennis,
    • 91 replies
    • 2.2k views
    • taadu.....bongaram
    • taadu.....bongaram

  13. Tv 9 Lo .. Omg 1 2 3 4 7

    By missionxp,
    • 91 replies
    • 4.1k views
    • stockdazzler
    • stockdazzler

  14. Dakshina Telangana 1 2 3 4 7

    By Guest Rahul_Pulka_Gandhi,
    • 91 replies
    • 2.6k views
    • matrix_hater
    • matrix_hater

  15. Why They Hate Him..? 1 2 3 4 7

    By mrudhula99,
    • 91 replies
    • 3.8k views
    • Jatka Bandi
    • Jatka Bandi

  16. Telangana May Not Succeed, Suggests Srikrishna's Unpublished Note 1 2 3 4 7

    By tom bhayya,
    • 91 replies
    • 2.7k views
    • bamchik
    • bamchik

  17. Calling Titanic 1 2 3 4 7

    By Vivian_afdb,
    • 91 replies
    • 2k views
    • bokuboy
    • bokuboy

  18. ****** Calling Wolverine********** 1 2 3 4 7

    By samantha.,
    • 91 replies
    • 1.5k views
    • robo
    • robo

  19. Callin Blumbee and Raccha raccha 1 2 3 4 7

    By harshakudaravally,
    • 91 replies
    • 2.8k views
    • jamesbond
    • jamesbond

  20. Met With An Accident....fortunately Nothing Happened 1 2 3 4 7

    By Vinuu,
    • 91 replies
    • 3.1k views
    • vadapav
    • vadapav

  21. Calling Mostly Frustrated Souls Unable To Find A Partner. 1 2 3 4 7

    By charygaru,
    • 91 replies
    • 2.3k views
    • Anta Assamey
    • Anta Assamey

  22. Depression Lo Una Valu 31St Nite Em Chestunaru 1 2 3 4 7

    By nenu_devudni,
    • 91 replies
    • 2.4k views
    • suryausa
    • suryausa

  23. 02/17/12 Bewarse Batch 1 2 3 4 7

    By littlestar,
    • 91 replies
    • 2.4k views
    • dennis
    • dennis

  24. NANNANI CHAMPINA VAADI g****DDA NAAKADU 1 2 3 4 7

    By king420,
    • 91 replies
    • 5.6k views
    • king420
    • king420

  25. Reception Ki Hyd Lo Manchi Hotel? 1 2 3 4 7

    By Balanam_rodanam_Balam,
    • 91 replies
    • 4.1k views
    • Yuvatha
    • Yuvatha

  26. Calling Venkataratnam 1 2 3 4 7

    By Silver_mani,
    • 91 replies
    • 2.2k views
    • ilovekajal
    • ilovekajal

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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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