<|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 2020-02-26 12:30:00, BBCCasualty from company bbc tweeted. The tweet was "Zsa Zsa causes quite a stir as she returns to the ED. 9:10pm Saturday on <mention>! #Casualty <hyperlink>". The most similar tweets were, 
1. On 2020-10-19 04:46:48, METROFMSA handle of company sabc tweeted. The tweet was "On #TheCatchUp <mention> actress #ZonkeMchunu on her acting career, what she’s been up to and her current story line tackling breast cancer. 
#TheMorningFlava 
#WakeUpForIt <hyperlink>". This tweet got 250 number of likes. 
2. On 2018-05-16 18:05:13, SABCNews handle of company sabc tweeted. The tweet was "Zwane gets close #SundownsBarca 

Watch Live <hyperlink> <hyperlink>". This tweet got 112 number of likes. 
3. On 2018-05-16 18:04:44, SABCNews handle of company sabc tweeted. The tweet was "Zwane gets close #SundownsBarca 

Watch Live <hyperlink> <hyperlink>". This tweet got 154 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
