Just to add, the car came so close to knocking the man over that he was thrown back onto the pavement. Car did not appear to stop at exit and look before exiting. Two young occupants (one driver, one passenger). Driver was also smoking and did not appear bothered after nearly knocking the man over.
Info for Sam the troll
Cornell University researchers are coming for you, Internet trolls.
After an 18-month study of banned commenters on cnn.com, breitbart.com and ign.com, three researchers claim they can identify Internet trolls with great accuracy. The say their system can spot an inflammatory commenters in less than 10 posts.
Nearly all of the 10,000 FBUs (future banned users) studied commented at a lower perceived standard of literacy and clarity than the average, and this standard only declined until they were banned. Also, trouble making commenters are more likely to focus their efforts on fewer comment threads relative to the amount they post. In other words, they’re looking for a fight.
All trolls are not created equal, however. Instigators on CNN were more likely to initiate new posts or sub-threads, and at Breitbart and IGN they were more likely to comment on existing threads. In general, FBUs are incendiary and persistent commenters with poor grammar, and they tend to get into heated arguments right before they are banned.
@shammy - you posted a picture of exposing an older gent who you claimed damaged your car. Where's the evidence? Where's the CCTV? Where's the picture of your damage?
Just to add, the car came so close to knocking the man over that he was thrown back onto the pavement. Car did not appear to stop at exit and look before exiting. Two young occupants (one driver, one passenger). Driver was also smoking and did not appear bothered after nearly knocking the man over.