<|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 2018-02-16 20:49:28, AARPadvocates from company aarp tweeted. The tweet was "The White House released their proposed budget earlier this week. AARP’s <mention> explains what this means for older Americans. <hyperlink>". The most similar tweets were, 
1. On 2018-10-03 23:05:58, AARP handle of company aarp tweeted. The tweet was "People 50+ have a lot of spending power! 💪 #DisruptAging <hyperlink>". This tweet got 49 number of likes. 
2. On 2019-07-26 13:59:39, AARPpolicy handle of company aarp tweeted. The tweet was "Do views on #SocialSecurity spending differ by age? The answer might surprise you. <hyperlink> via <mention> <hyperlink>". This tweet got 43 number of likes. 
3. On 2019-11-20 22:00:01, AARPadvocates handle of company aarp tweeted. The tweet was ""Number one, we have to let the government negotiate for lower prices on behalf of the American people. Right now, they can't do that because the drug lobby has made that impossible." - <mention> 

#DemDebate #StopRxGreed <hyperlink>". This tweet got 157 number of likr 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
53<|im_end|>
