<|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 2019-11-15 14:00:01, bbcthree from company bbc tweeted. The tweet was "Olly Alexander explores why the LGBTQ+ community is vulnerable to mental health issues. 

Watch Growing Up Gay on <mention>. <hyperlink>". The most similar tweets were, 
1. On 2019-11-11 13:37:58, free_equal handle of company free tweeted. The tweet was "#LGBTI ppl are more likely to face violence, discrimination &amp; stigma than their peers. As a result, they also have higher rates of mental health challenges. RT if you agree that we should create a world where everyone gets to feel safe-no matter who they are or whom they ❤️ <hyperlink>". This tweet got 53 number of likes. 
2. On 2020-04-07 11:16:00, free_equal handle of company free tweeted. The tweet was "#Homophobia, #biphobia and #transphobia harms the mental health of #LGBT youth. RT if you agree that it’s our responsibility to protect them!

#WorldHealthDay #StandUp4HumanRights <hyperlink>". This tweet got 59 number of likes. 
3. On 2020-01-09 11:52:00, free_equal handle of company free tweeted. The tweet was "#LGBTI people are at much higher risk of violence and murder than other people – simply because of who they are or whom they love. RT if you support legal reform to protect LGBTI people from hate crimes! 
Learn more: <hyperlink>

#StandUp4HumanRights <hyperlink>". This tweet got 50 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
