<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2020-04-15 11:30:07, Barclaycard from company barclaycard tweeted. The tweet was "Don’t let scammers take cash that’s intended for charities. If you’re donating money, check it’s going to the right place. Find some top fraud-fighting tips at: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-11-12 20:36:04, McAfee_Home handle of company mcafee tweeted. The tweet was "Bank fraud is a big problem. Here's how to protect your hard earned cash💰 and investments! #SecureMyLife <hyperlink> <hyperlink>". This tweet got 10 number of likes. 
2. On 2018-11-25 22:00:00, HSBC_UK handle of company hsbc tweeted. The tweet was "Fraudsters are getting more and more sophisticated. Just ask <mention>. #CyberMonday <hyperlink>". This tweet got 3899 number of likes. 
3. On 2018-10-25 14:27:08, OriginalFresca handle of company bacardi tweeted. The tweet was "when you've pulled off the greatest scam of a generation <hyperlink>". This tweet got 3 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
