<|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 2020-04-03 17:30:00, BBCCasualty from company bbc tweeted. The tweet was "Faith's friendliness gets misinterpreted this week.

Catch #Casualty tomorrow at 7.25pm on <mention>. <hyperlink>". The most similar tweets were, 
1. On 2020-06-14 06:49:57, mtnug handle of company mtn tweeted. The tweet was "Tune in to <mention> on <mention> and learn about how to trust God in times of trouble. Now showing. #ChoiceYo <hyperlink>". This tweet got 100 number of likes. 
2. On 2020-01-23 10:01:37, FaithNoMore handle of company no tweeted. The tweet was "Reading the news about what’s been happening in Australia has been heartbreaking, It’s hard to even comprehend the scale of damage; hopefully this small contribution on our part can make a difference somewhere <hyperlink>". This tweet got 1202 number of likes. 
3. On 2019-11-16 23:17:38, IndependentNGR handle of company independent tweeted. The tweet was "Strengthen Your Trust In God, Cleric Urges Christians <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
