<|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 2018-08-04 20:02:00, BBCCasualty from company bbc tweeted. The tweet was "The truth is out! 
#Casualty is on <mention> RIGHT NOW! <hyperlink>". The most similar tweets were, 
1. On 2020-03-22 11:36:55, thisisWurlD handle of company free tweeted. The tweet was "Always cases and casualties.. where are all the recovery stories? People need to be motivated and united 🤷🏽‍♂️🤦🏾‍♂️🦋 <mention> <hyperlink>". This tweet got 56 number of likes. 
2. On 2019-11-27 13:37:33, IndependentNGR handle of company independent tweeted. The tweet was "Doctor’s Decomposing Body Found In Hospital Months After Death <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. 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. 
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
