Punjab Chief Minister Bhagwant Singh Mann questioned the frequency of examination paper leaks during the monsoon session of the 16th Punjab Legislative Assembly.
The issue highlights a growing tension between state administration and central oversight regarding the integrity of public service examinations. These leaks undermine the merit-based recruitment process, and affect thousands of aspiring candidates across the region.
During the session, Mann said that 93 paper-leak cases have been reported since 2014 [1]. He used the legislative platform to target the central government and demand accountability for these security failures.
While the Chief Minister raised general concerns about systemic leaks, he distinguished between systemic failures and specific cheating attempts. Regarding the pharmacy officer exam, Mann said there was no paper leak [2]. Instead, he said that 31 individuals were arrested for their involvement in a high-tech cheating attempt [2].
This distinction suggests a shift in how the state identifies threats to examination security—separating the unauthorized release of question papers from the use of technology to cheat during the exam itself. The crackdown on the pharmacy officer exam racket indicates a focus on intercepting high-tech fraud.
Mann's remarks in the Vidhan Sabha emphasize a demand for greater transparency in how examinations are conducted and secured. By citing the number of cases over the last decade, the Chief Minister aimed to illustrate a persistent problem that requires a structural solution rather than isolated arrests.
“93 paper-leak cases have been reported since 2014”
The contrast between the Chief Minister's general condemnation of paper leaks and his defense of the pharmacy officer exam suggests a strategic effort to separate 'leaks' from 'cheating.' By framing the 93 cases as a long-term systemic failure since 2014, Mann is positioning the current administration as a watchdog against historical negligence while asserting that current security measures can successfully identify and arrest high-tech fraudsters.
