A way to filter gibberish Emails and Usernames

KumaMatata 

It looks like the pattern might need some adjustments to better match the criteria you're looking for. The key is to refine the regular expression to capture the patterns you consider as potential gibberish. Based on the examples you provided, here's a modified formula:

This formula checks for two patterns:

=IF(
    AND(
        OR(ISNUMBER(SEARCH("^[A-Za-z]{2,}[0-9]{1,}@[a-zA-Z]+\.[a-zA-Z]+$", A2)), ISNUMBER(SEARCH("^[A-Za-z]{1,}[0-9]{1,}$", B2))),
        NOT(OR(ISNUMBER(SEARCH("[0-9]", A2)), ISNUMBER(SEARCH("[0-9]", B2))))
    ),
    "Potential Gibberish",
    "Normal"
)

1. For Emails:
• Starts with at least 2 letters.
• Followed by at least 1 number.
• Contains the "@" symbol.
• Followed by at least one letter for the domain.
• Followed by a period "." and at least one more letter for the domain.
2. For Usernames:
• Starts with at least 1 letter.
• Followed by at least 1 number.

This formula now accounts for the email structure with a domain part and should flag cases that don't match these patterns as "Potential Gibberish."

You may need to further refine the patterns based on your specific data characteristics. Feel free to experiment and adjust the regular expressions to match your requirements. Regular expressions can sometimes be a bit tricky, and trial and error is often needed to get the exact match you're looking for.