<|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 2018-11-06 21:49:00, DoctorWho_BBCA from company bbc tweeted. The tweet was "Missed 'The Tsuranga Conundrum'? Don't worry, you can get caught up On Demand and on <mention> at <hyperlink> #DoctorWho <hyperlink>". The most similar tweets were, 
1. On 2018-06-01 14:54:28, RadioFreeSkaro handle of company free tweeted. The tweet was "Sunday on RFS #638, we talk about #DoctorWho missing episodes with <mention>, and we get follow up reaction from <mention>! <hyperlink>". This tweet got 47 number of likes. 
2. On 2019-05-21 00:44:26, TDPresentsYT handle of company td tweeted. The tweet was "<mention> I had a doctor swear by this <hyperlink>". This tweet got 176 number of likes. 
3. On 2019-11-28 02:09:48, Rtreatwilliams handle of company williams tweeted. The tweet was "Wasssappp?! <hyperlink>". This tweet got 164 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
