Noida: Chain Snatchers Caught By Locals After Bike Slips During Escape; 7 Mobile Phones Recovered
The incident took place when the snatchers were attempting to flee after carrying out a chain-snatching in Noida Sector 11.

Two bike-borne snatchers were caught by locals in Noida, where they had come to commit a chain-snatching incident. The accused were handed over to the police by the locals.
The incident took place when the snatchers were attempting to flee after carrying out a chain-snatching in Noida Sector 11. However, their bike slipped, allowing people to overpower them. The case falls under the jurisdiction of Noida Police Station–24.
Both the accused had been involved in multiple cases of mobile and chain snatching in the area for a long time.
Locals caught them and surrounded them till the police reached the spot, following which the public handed over the duo to them, demanding strict action.
Seven stolen mobile phones were also recovered from their possession.
In another chain snatching incident, a 57-year-old principal of a government school was shot dead and a woman teacher was injured after three bike-borne men allegedly tried to snatch his gold chain, police told news agency PTI on Wednesday.
The incident took place on Tuesday when Devendra Yadav was returning home on a motorcycle after attending a school cluster meeting in a government school in Uttar Pradesh's Deoria district. He was accompanied by assistant teacher Kanchan Singh.
The duo was intercepted by the assailants when they reached near Sahunpur village. They then snatched Yadav's gold chain and opened fire when he resisted.
Both the teachers were rushed to the community health centre in Siar from where Yadav was referred to Ballia, then to Mau, and finally to Varanasi trauma centre, PTI reported.
However, he succumbed to his injuries on the way to Varanasi, police said. Superintendent of Police Omveer Singh said an FIR was registered regarding the matter.
Four police teams have been formed to investigate the incident. Efforts are underway to trace those involved in the incident using CCTV footage and manual intelligence inputs.
























