People with ‘z’ in their name use mechanical keyboards and rarely make mistakes. I also factored in the fact that any dot before the @ in gmail addresses is ignored and that ‘f’ and ‘h’ are pretty much the same letter when you think about it.
So with all of that taken into account, I ran the 117 million email addresses through the model.
You will also never again run the risk of rejecting what is, in fact, a strange, valid email address.
We are developers, we are technical folk, so it’s no surprise that the prevailing wisdom is to check that it matches the official criteria, some examples of the diversity of the official criteria are…If you have a well laid-out form with a label that says “email”, and the user enters an ‘@’ symbol somewhere, then it’s safe to say they understood that they were supposed to be entering an email address. Next, we want to do some validation to ascertain if they correctly entered right?
” That’s like saying that opening and closing your fridge really quickly conserves energy and helps fight climate change.
And the odds that an incorrect email address will be caught by email validation is …0.00000000000000000000000000000000000000625%I’m afraid I don’t have time to type out the algorithm that totally exists and is indisputably perfect, so you’ll have to take my word for it that this number is not in any way made up.
There is no point in trying to work out if an email address is ‘valid’. https://email@example.com/how-to-reduce-incorrect-email-addresses-df3b70cb15a9#.3y39aii0e Hacker Noon is how hackers start their afternoons. We are now accepting submissions and happy to discuss advertising & sponsorship opportunities.
Sure, it helps, if we want to be slaves to the word ‘help’.