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๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria /Crime & Justice

Police dismiss viral September 18 training notice for recruits

From The Punch · () English

Summarized by DistantNews. Read the original for the full story.

At a glance

News Official statement New plan
  • The Nigeria Police Force said a social media notice ordering prospective constables to report for training on September 18, 2026, was forged and should be ignored.
  • The Force directed applicants to rely on their recruitment portals and official channels amid the ongoing intake of 50,000 constables.

The Nigeria Police Force has rejected a social media notice telling prospective Police Constable recruits to report for training on September 18, 2026.

In a disclaimer posted on its X account, the Force said the notice did not represent official communication and urged applicants to disregard it. Images of the letter, dated September 1, were marked โ€œFAKEโ€ by police after circulating online.

The document imitated police stationery and listed items including white canvas shoes and bedding for supposed training at various state headquarters. Police advised prospective trainees to rely only on their recruitment portals and official Force communication channels for verified updates.

The warning comes during the recruitment of 50,000 constables into the Nigeria Police Force. President Bola Tinubu ordered the intake in late 2025, and the Police Service Commission opened applications on December 15 that year. The commission released a list of successful candidates in July 2026 and formally handed the recruits to the Force for training at approved institutions on August 6.

Police also urged the public not to circulate unverified information that could confuse or mislead prospective recruits.

The Nigeria Police Force wishes to state that the said publication is not an official communication of the Force and should be disregarded.

โ€” Nigeria Police ForceThe disclaimer rejected the viral training notice.
About this summary

Originally published by The Punch. Summarized and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.