RRB Group D 2024 Chennai Zone Final DV Cutoff | Category-wise कितना बढ़ेगा? 🔥#rrbgroupdresult2024

Main ideas / lessons

• The video estimates the expected cutoff for Railway Group D 2024 (Chennai Zone) for the first Document Verification (DV) after PET results.

• It claims the analysis uses official data (not guesswork): total candidates called for PET, attendance, pass/fail counts, and vacancy distribution.

• It emphasizes timing: PET results are expected ~15–20 days after 31 July, so DV results (and thus cutoff) may fall after 15 August.

• It distinguishes between First DV vs Second DV:
  • First DV cutoff is the main estimate.
  • Second DV cutoff may drop because some candidates may be absent or fail medical/document checks, but the exact reduction is unknown.

Methodology / analysis approach (detailed steps)

Input / official dataset used

• Official category-wise total candidates data for Chennai Zone after the PET stage.

Step-by-step breakdown

1. Vacancies by category (as per notification)

   • UR: 189
   • SC: 397
   • ST: 228
   • OBC: 698
   • EWS: 279
   • Total shown in the explanation: 2691 (the creator claims the notification shows 2694 due to a calculation mistake).

2. Adjust vacancies for reservations / exemptions

   • Apply reductions:
     • 20% reduction for Ex-servicemen
     • 20% reduction for CCA
     • 4% reduction for PWBD
   • Resulting “open-category” effective vacancy estimate:
     • UR open-category ≈ 1505 (total)
   • The creator also notes that benefits/exemptions may be adjusted/shifted across categories in the model (e.g., how seats effectively remain within general/open if UR benefits aren’t granted to ex-servicemen).

3. PET attendance and outcomes

   • Candidates called for PET: 5130

   • Present: 3529 (creator also says “out of 3530,” implying nearly complete attendance)

   • Absent: ~1600

   • PET results among present (3529):
     • Passed: 2525
     • Failed: 104

4. Category-wise PET pass/fail

   • Passed counts (as stated):
     • “General”/UR side: 129 passed
     • SC: 501 passed
     • ST: 328 passed
     • OBC: 1119 passed
     • EWS: 458 passed
   • The creator mentions corresponding “called” and failing numbers as well. (Some subtitle arithmetic appears inconsistent/typo-ridden, but the overall idea is to use category pass strength to project cutoff.)

5. Relate “real vacancies” to “qualified candidates”

   • Claimed “real vacancies actually available”:
     • UR: 609
     • SC: 223
     • ST: 127
     • OBC: 390
     • EWS: 156
   • The creator then models remaining seats after considering passed candidates by category, with overflow/adjustments among categories.
   • Key implication:
     • Because pass counts differ by category, UR/OBC/EWS cutoffs rise if their available pool is comparatively weaker.

6. Define how category is determined (for roll-number mapping)

   • Category is decided by the middle six digits of the roll number.
   • The video suggests viewers can verify using digit mapping:
     • Example format shown: … 18 82 41 18 82 42 43 44 … (used as an illustrative example).

7. Compute / estimate expected cutoffs for the First DV

   • The creator provides final numeric cutoff ranges per category (below).

Key numbers and expected cutoff (First DV)

The video provides expected cutoff marks for First DV (after PET) per category, based on the creator’s seat-flow/adjustment model:

• UR

  • PET reference (previous value mentioned): 78
  • Expected increase range: ~from 1.2 to 1.9
  • Can reach: ~80

• SC

  • PET reference: 70.63
  • Expected increase: ~+4 to +5
  • Emphasis: “Score extra marks beyond four” (as stated by the creator)

• ST

  • Subtitle wording appears unclear (“63 … lost” is referenced), but it’s used to justify an increase
  • Expected increase: ~+4.5 to +6
  • Can reach: 60 to 69

• OBC

  • Expected to rise to: ~76.65
  • Additional rise: ~2 to 2.5 marks
  • Can go up to: ~79

• EWS

  • PET reference: 71.11
  • Expected increase: ~+4 to +5.5
  • Can reach: ~76

Additional implications about Second DV

• In Second DV, cutoff may be lower because:
  • Some candidates might be absent in DV or fail medical/document verification.
• The creator claims candidates with slightly lower marks can still be selected due to relative differences:
  • Example claims:
    • SC/ST/EWS: ~2 extra marks advantage may help selection.
    • UR/OBC: ~1 mark advantage may be enough (relative to first DV thresholds).

Speakers / sources featured

• Primary speaker (host/creator): Railway Pansman Ankush
• Source type referenced: Official data (the creator states the logic uses official category-wise and PET-related counts, though specific documents are not shown in the subtitles).