Cavite Governor Jonvic Remulla believed that Caviteños will support presidential aspirant Bongbong Marcos in the 2022 elections.
JONVIC REMULLA — The Cavite governor believed that Caviteños will support presidential aspirant Ferdinand “Bongbong” Marcos Jr in the 2022 elections.
On Thursday, Remulla released an internal survey conducted last December 1-5, 2021, and shared the results of such survey on his Facebook page.
According to him, the respondents of his internal survey were 1,600 registered voters in Cavite where he governed. The governor even quoted a few lines from George Canseco’s song “Ngayon at Kailanman”.
“Ayaw ko na sana makihalo ngunit dahil sa isang deleted survey ko sa twitter na sadyang pinag-iinitan ngayon ng ilang kampo, narito naman ang internal survey na isinagawa sa 1,600 respondents sa buong Cavite nitong December 1-5,” Remulla wrote.
Based on the results of his internal survey, Bongbong got the highest vote with 62%, Senator Panfilo “Ping” Lacson with 16%, Vice President Leni Robredo with 9%, Manila City Mayor Isko Moreno Domagoso with 6%, and Senator Manny Pacquiao with 4%.
According to him, if the election took place at that time, Bongbong will definitely win in Cavite with a landslide victory.
“Surveys are a snapshot in time. If the election was held today? BBM will win in Cavite by a landslide,” Remulla said. “I believe he will win the Presidency in 2022. It’s his time. It’s his destiny.”
READ ALSO: Cavite Governor Remulla Defends Mayor Isko Moreno From Criticisms
Prior to this, Remulla announced an informal survey on his tweet last January 11, 2022. The governor offered as top choices 4 presidential candidates, in this order: Lacson, Pacquiao, Marcos, and Robredo.
Before he took down the said tweet, the internal survey showed that Robredo got the highest vote with 81%, Marcos with 11%, Lacson with 7%, and Pacquiao with 1%
Either way, a Twitter survey wasn’t an accurate snapshot of general voters’ preference.
Presidential preference surveys – such as those by Pulse Asia, Laylo Research, and Social Weather Stations (SWS) – employed methods in order to make sure that the results were an accurate snapshot of the population at large.
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