<|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 2018-01-27 08:56:44, BBCSport from company bbc tweeted. The tweet was "Find us a better costume at a sporting event.

We'll wait... <hyperlink>". The most similar tweets were, 
1. On 2020-06-16 17:27:00, primevideosport handle of company amazon tweeted. The tweet was "This is the shirt <mention> will be wearing tomorrow in the Premier League's first match back <hyperlink>". This tweet got 271 number of likes. 
2. On 2020-10-28 19:16:01, AAAClubAlliance handle of company aaa tweeted. The tweet was "Still need a costume? Here are some creative last-minute ideas! <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-10-29 19:16:01, AAAClubAlliance handle of company aaa tweeted. The tweet was "Still need a costume? Here are some creative last-minute ideas! <hyperlink> <hyperlink>". This tweet got 0 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
