<|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 2020-09-17 11:00:01, rbcgamnews from company rbc tweeted. The tweet was "This week’s update provides answers to the key questions of the pandemic era. We also investigate housing market strength, the revival of air travel, the sprawling consequences of fiscal deficits, inflation trends, and more: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-04-01 10:43:15, CBCToronto handle of company cbc tweeted. The tweet was "Air pollution eases in four major cities as pandemic measures keep people home <hyperlink> <hyperlink>". This tweet got 58 number of likes. 
2. On 2020-06-17 23:16:06, IndependentNGR handle of company independent tweeted. The tweet was "Housing Opportunities For Benue People Amidst COVID-19 <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-04-14 12:48:19, cnnbrk handle of company cnn tweeted. The tweet was "The coronavirus pandemic is plunging the global economy into its deepest slump since the Great Depression of the 1930s, the International Monetary Fund says <hyperlink> <hyperlink>". This tweet got 1124 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
