<|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 2020-01-23 23:21:34, bbcquestiontime from company bbc tweeted. The tweet was "“Can the panel see me? Can you hear me? That makes a change for me as a black woman.”

This audience member says black women suffering domestic abuse are being forgotten by society and the government. #bbcqt <hyperlink>". The most similar tweets were, 
1. On 2019-03-07 16:43:34, Independent handle of company independent tweeted. The tweet was "MPs listen in silence as Jess Phillips lists 130 women killed by men in the last year <hyperlink>". This tweet got 92 number of likes. 
2. On 2020-02-15 13:00:00, BellRibeiroAddy handle of company bell tweeted. The tweet was "This week, I went on <mention> with my fantastic <mention> colleagues <mention> and <mention> to talk #MediaBias and #EverydayRacism

The recent mix-up between us showed there's still a tendency to view black women as a homogeneous group. This needs to change. <hyperlink>". This tweet got 195 number of likes. 
3. On 2020-07-09 17:30:00, Independent handle of company independent tweeted. The tweet was "Theresa May criticises rise in black people being stopped and searched <hyperlink>". This tweet got 49 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
