<|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 2018-09-12 21:29:59, UPMCpolicy from company upmc tweeted. The tweet was "Shannon Meyers, RN from <mention> is distributing  important information at tonight’s Open House on Addiction. <hyperlink>". The most similar tweets were, 
1. On 2018-12-11 15:24:47, totalfratmove handle of company total tweeted. The tweet was "Addiction in action (<mention>) <hyperlink>". This tweet got 632 number of likes. 
2. On 2019-10-15 19:29:40, camerondallas handle of company cameron tweeted. The tweet was "RT &amp; SHARE; Help SPREAD Awareness &amp; Raise money for people that are in a battle with Addiction &amp; Can’t afford Treatment <mention> <hyperlink>". This tweet got 4840 number of likes. 
3. On 2020-06-30 14:55:21, PatMcAfeeShow handle of company mcafee tweeted. The tweet was ""I think I'm wired to seek relief.. and cocaine allowed me to talk about the things I needed relief from"

Chris Herren <mention> details his battle with addiction #PatMcAfeeShowLIVE <hyperlink>". This tweet got 215 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
