<|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 2018-11-23 21:00:22, UNICEF_Yemen from company unicef tweeted. The tweet was "More than 20 tons of different #vaccines arrived at Sana'a International Airport. These #vaccines will benefit more than 3.5 million people in different governorates and districts in #Yemen. Everyone deserves a healthy life. 
#VaccinesWork 
<mention> 
<mention> <hyperlink>". The most similar tweets were, 
1. On 2019-09-07 10:16:03, IndependentNGR handle of company independent tweeted. The tweet was "Yemeni Medics Say 130 Bodies Pulled After Deadly Airstrike <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-01-21 02:57:07, IndependentNGR handle of company independent tweeted. The tweet was "More Than Hundred Casualties In Yemen Attack <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-07-17 15:05:35, IndependentNGR handle of company independent tweeted. The tweet was "Yemen Envoy Calls For Probe Into Civilian Deaths From Air Strikes <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
