SSC CGL 2026 सबसे Easy vs सबसे Hard Shift कौन-सी? | Overall & Subject-wise Analysis | Shubham Sir

Overview

The video compares SSC CGL Tier 1 shifts using answer-key results and data submitted by students. It examines overall and subject-wise shift difficulty, and evaluates how accurately an earlier attempts-based tool predicted shift rankings.

The presenter emphasizes that this is not a cutoff analysis; a separate, more detailed cutoff discussion will follow. The analysis uses about 50,000 responses for the score analysis and more than 70,000 participants in the attempts tool. These submissions may not represent all candidates, and the presenter notes that the audience could be stronger than the overall candidate pool.

Overall Shift Difficulty

Shifts are ranked from 1 (hardest) to 53 (easiest) in the presenter’s comparison.

• 1 October, Shift 1 is identified as the easiest shift in the current data. The presenter notes that its ranking could change slightly as more data comes in.
• 24 October, Shift 3 and 28 October, Shift 3 are among the shifts described as relatively difficult.
• Some shifts receive different rankings in the attempts-based and answer-key comparisons, so the results should be treated as estimates rather than definitive standings.

The presenter also shows shift-wise average, median, and top-10%-type scores, but cautions that survey results are not the same as final results for all candidates.

Subject-Wise Observations

Approximate average scores across all shifts were:

• GK: 23
• Maths: 27.5
• English: 31.5
• Reasoning: 38.9

Specific comparisons mentioned include:

• Maths: 28 October, Shift 1 is identified as the hardest, followed by 15 October, Shift 2, and 28 October, Shift 3.
• GK: 28 October, Shift 1 and 5 October, Shift 3 are identified as difficult.
• Reasoning and English: The presenter discusses shift-wise comparisons, but the subtitle text does not preserve enough detail to reliably identify the hardest shifts.

Performance of the Attempts-Analysis Tool

The presenter compares predictions based on candidates’ reported attempts and accuracy with the answer-key-based shift analysis.

The tool was intended to provide an early indication of whether a shift seemed relatively easy or difficult, before answer-key analysis was available. The presenter says many shifts ranked similarly in both comparisons, while some showed substantial differences.

By his account, 42 of 53 shifts were within 10 ranking places of the answer-key comparison, and 30 of 53 were within about five places. He describes the tool as useful for roughly three-quarters of shifts, while acknowledging that it did not work well for some. He attributes some mismatches to GK, where candidates may be uncertain about which attempted answers are correct.

The practical takeaway is to use attempts-based tools as a rough guide, not as a guarantee about a shift’s difficulty, score, or cutoff.

The Presenter’s Explanation of Normalization

The presenter gives a simplified explanation of percentile-based normalization:

1. Candidates’ performance is considered relative to others in their own shift.
2. Scores at comparable percentiles across shifts are compared and mapped to a common scale.
3. Candidates with similar percentiles in different shifts may therefore receive similar normalized scores.
4. A harder shift may generally see more scores increase, while an easier shift may see more scores decrease—but this is not guaranteed for every candidate.
5. Even a very high raw score in a difficult shift could be adjusted downward if it is above the comparable percentile-based level. Scores in an easier shift could rise or fall depending on a candidate’s relative position.

This is an illustrative explanation, not a precise prediction of anyone’s final normalized score. The presenter advises candidates not to assume that a difficult shift automatically guarantees an increase.

Caveats and Advice

• Survey averages should not be treated as official averages for all candidates; participation is incomplete and may be unrepresentative.
• Do not infer the final cutoff by multiplying or extrapolating survey counts. The presenter says category-wise participation and other factors need to be analyzed first.
• Do not place blind faith in an attempts tool or any shift ranking. Some shifts may differ from the estimate by several marks or ranking positions.
• Candidates with strong scores are encouraged to focus on Tier 2 preparation while waiting for the separate cutoff analysis.

Resources Mentioned

The presenter promotes RBE resources, including free current-affairs quizzes, English editorials and vocabulary practice, typing practice, stenography dictations, rank and attempts tools, and study trackers. He also mentions paid test series and target plans.

Speakers and Sources

• Speaker: Shubham Sir, the presenter
• Sources and data discussed: SSC answer-key-based analysis; student-submitted score data and surveys; the RBE attempts-analysis tool and participant responses; RBE live-mock comparisons