<|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 2018-11-29 12:30:00, BBCCasualty from company bbc tweeted. The tweet was "A year ago Dr. Hardy struggled as Clinical Lead whilst Duffy offered some great advice! 🤗

"You don't fail, until you stop trying" - Duffy <hyperlink>". The most similar tweets were, 
1. On 2019-03-28 17:00:03, OracleHealthSci handle of company oracle tweeted. The tweet was "72% of #clinicalstudies run more than one month behind schedule due to poor management of trial issues. Learn how to identify and avoid the red flags that signal a study is veering off course, here: <hyperlink> <hyperlink>". This tweet got 1669 number of likes. 
2. On 2019-08-23 20:49:22, CBC handle of company cbc tweeted. The tweet was "Move over pseudoscience, there's a real doctor in the house and she's here to set the record straight! You won't want to miss <mention>'s new series, Jensplaining: <hyperlink> <hyperlink>". This tweet got 56 number of likes. 
3. On 2020-07-09 18:47:46, CBCAlerts handle of company cbc tweeted. The tweet was "Update from CBC's David Cochrane: Statement from the PMO <hyperlink>". This tweet got 80 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
