<|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 2019-02-22 12:29:08, bbcweather from company bbc tweeted. The tweet was "This time last year, we were bracing ourselves for the #BeastFromTheEast...🥶❄️ These shots show the #snow that arrived in Kent. #coldblastfromthepast <hyperlink>". The most similar tweets were, 
1. On 2018-02-26 08:23:28, MetroUK handle of company metro tweeted. The tweet was "Is it snowing where you are? It's snowing where we are. 

The #BeastFromTheEast has arrived. Help. 🌨️ <hyperlink>". This tweet got 83 number of likes. 
2. On 2020-01-28 13:05:42, wwf_uk handle of company wwf tweeted. The tweet was "The first #ClimateAssemblyUK was held this weekend, putting the public at the heart of our response to the #ClimateCrisis. 
 
Hear Sir David Attenborough’s message to the group.👇 <hyperlink>". This tweet got 218 number of likes. 
3. On 2019-11-12 12:00:02, AAAClubAlliance handle of company aaa tweeted. The tweet was "See and be seen! Make sure to remove snow from windows, mirrors and lights before driving! #WinterWeather <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
