<|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 2020-02-18 11:26:19, bbcweather from company bbc tweeted. The tweet was "A powerful jet stream will be right above our heads through most of this week, bringing unsettled weather into the weekend and beyond (the white areas indicate snow in the colder air). <hyperlink>". The most similar tweets were, 
1. On 2020-10-03 11:23:22, primevideosport handle of company amazon tweeted. The tweet was "British weather. <hyperlink>". This tweet got 721 number of likes. 
2. On 2018-11-15 19:58:08, cbcotttraffic handle of company cbc tweeted. The tweet was "SNOW: In case you're wondering, tomorrow would be a good day to work from home. Snow starts tonight around 10 p.m. and carries through to tomorrow's morning AND afternoon commutes. <mention> just broke the news to me. #otttraffic #ottweather #ottnews <hyperlink>". This tweet got 65 number of likes. 
3. On 2018-09-23 06:38:39, SABCNews handle of company sabc tweeted. The tweet was "SA #Weather | Sunday, 23 September 2018 #SABCWeather <hyperlink>". This tweet got 97 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
