Share to Facebook Share to Twitter More...

Poor Grab Rider Nearly Bursts Into Tears After Victimized by Fake Booking Amid Health Crisis

GRAB FOOD RIDER – Another poor Grab rider gets disappointed and nearly bursts into tears after he was victimized by a fake booking.

Over the past few months, a lot of Grab Food riders are enduring the hardships of their jobs just to earn money to provide the financial necessities of their families amid the health crisis in the country.

However, there are some delivery employees who were complaining against customers who were making fake bookings and canceling their orders although it has been already prepared.

Poor Grab Rider

Recently, a Facebook user named Kima Shen has shared the photos of a poor Grab rider who gets disappointed and nearly bursts into tears after victimized by a fake booking. The photos, which was shared to the group “Order Hero” garnered various reactions from the online community.

In the photos, it can be seen that the delivery guy is supposed to deliver Mang Inasal food packs to his customer. Eventually, he returned to his motorcycle together with the food packs after learning that he was a victim of fake booking.

Poor Grab Rider

Kima also revealed that the Grab food rider was his cousin and his earnings would go to the milk of his two little kids.

Poor Grab Rider

Here is the full post:

Na fake booking pinsan ko.Mang inasal worth 1k plus. Di nila alam may dalawang anak na pinapagatas ‘to.”

The social media users expressed their reactions to the post:

What can you say about this? just feel free to leave your comments and reactions to this article.

Read Also: Generous Teacher Orders Extra ‘Lechon Manok’ for Hungry Grab Food Rider

Share to Facebook Share to Twitter More...

comment(s) for this post "Poor Grab Rider Gets Disappointed & Nearly Bursts Into Tears After Victimized by Fake Booking". Tell us what you think abut this post by leaving your comments below.

{ 0 comments… add one }

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.