<|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 2018-04-04 21:54:20, BBCNews from company bbc tweeted. The tweet was "Thursday's Metro:"He’s got the right to defend his home" #tomorrowspaperstoday #bbcnews (via <mention>)  <hyperlink>". The most similar tweets were, 
1. On 2019-09-24 09:44:09, Mike_P_Williams handle of company williams tweeted. The tweet was "Breaking: UK Supreme Court tells Boris to fuck right off <hyperlink>". This tweet got 428 number of likes. 
2. On 2020-05-19 13:10:16, METROFMSA handle of company sabc tweeted. The tweet was "Stay home,stay safe and listen to <mention> as he broadcasts from home #ThekingsSuite <hyperlink>". This tweet got 108 number of likes. 
3. On 2019-09-05 01:07:17, Mike_P_Williams handle of company williams tweeted. The tweet was "Rare sight: an accurate tabloid headline. #BrexitVote #HouseofLords #BrexitShambles <hyperlink>". This tweet got 129 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
