<|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 2018-04-28 19:00:02, BarRescue from company bar tweeted. The tweet was "This bartender tries her best to make a simple drink, but it’s not going very well… #BarRescue is back with a new episode this Sunday at 10/9c on <mention>. <hyperlink>". The most similar tweets were, 
1. On 2020-05-30 16:00:08, BarRescue handle of company bar tweeted. The tweet was ".<mention> and <mention> are stepping in to help <mention> with these over the top bartenders! This Sunday on an all new episode of #BarRescue. <hyperlink>". This tweet got 188 number of likes. 
2. On 2020-04-15 21:59:36, BarRescue handle of company bar tweeted. The tweet was "We LOVE this fun drink! <mention> #BarRescue <hyperlink>". This tweet got 75 number of likes. 
3. On 2019-08-04 15:00:08, BarRescue handle of company bar tweeted. The tweet was "Happy #BarRescue Sunday! We bring the gift of a new episode tonight at 10/9c 🍻<mention> <hyperlink>". This tweet got 77 number of likr 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
80<|im_end|>
