<|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 2018-09-15 11:30:00, BBCCasualty from company bbc tweeted. The tweet was "Can Dylan get the truth from Ciara in tonight's episode of #Casualty? 😰

Find out at 20.25 on <mention>. <hyperlink>". The most similar tweets were, 
1. On 2020-03-01 11:23:56, ITG_Ltd handle of company independent tweeted. The tweet was "Lies are exposed, truths are revealed. For the Doctor, nothing will ever be the same. 👀 #DoctorWho 

Catch the second part of <mention>'s series finale at 6:50pm tonight over on <mention>. 

⭐ #JodieWhittaker, <mention> &amp; <mention> <hyperlink>". This tweet got 200 number of likes. 
2. On 2018-11-04 23:09:19, CNNPR handle of company cnn tweeted. The tweet was "Lies can become truth, if we let them.  #FactsFirst 🍎 <hyperlink>". This tweet got 768 number of likes. 
3. On 2020-03-13 16:23:50, MerEaton handle of company eaton tweeted. The tweet was "One way or another, the truth always comes out. Tonight. <mention> #macgyver <hyperlink>". This tweet got 432 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
