<|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 2019-10-12 14:01:04, BBC from company bbc tweeted. The tweet was "Chris has sickle cell disease, a health condition that predominately affects people from African and Caribbean backgrounds.

It is commonly considered a ‘silent illness’, so Chris started his own initiative to get people talking about it.
<hyperlink>". The most similar tweets were, 
1. On 2019-04-07 05:05:48, Airtel_Ug handle of company airtel tweeted. The tweet was "Thousands of people have shown up today to support the fight against Sickle Cells Disease and we could not be any prouder. #KabakaWange <hyperlink>". This tweet got 183 number of likes. 
2. On 2019-09-27 08:49:05, IndependentNGR handle of company independent tweeted. The tweet was "Association Buries Over 100 Sickle Cell Patients In Anambra <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-06-19 09:15:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "Around 15,000 people in the UK are living with #sicklecell disease (SCD), however symptoms can be difficult to explain making it hard for others to relate. Join us on #WorldSickleCellDay as we raise awareness for the SCD community 🧡 <hyperlink>". This tweet got 6 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
