Hasi - Female Version

Ami Mishra, Shreya Ghoshal, Kunaal Vermaa

The song Hasi - Female Version by Ami Mishra, Shreya Ghoshal, Kunaal Vermaa has been played 143,674,884 times on Spotify since its release on May 21, 2015.

Other songs from Ami Mishra, Shreya Ghoshal, Kunaal Vermaa

Jhalla Wallah

Amit Trivedi, Shreya Ghoshal, Kausar Munir
Poye Pranam

Haricharan, Shreya Ghoshal
Tere Bina - Female Version

Shreya Ghoshal
The Revenge Of The Spirit

Kartik Aaryan, Kiara Advani, Tabu, Neeraj Shridhar, Mellow D, Bob, Arijit Singh, Tulsi Kumar, Yo Yo Honey Singh, Armaan Malik, Shashwat Singh, TUSHAR JOSHI, Shreya Ghoshal
Deewana Main Deewana

Sukhwinder Singh, Shreya Ghoshal

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: There are two primary reasons you might notice irregularities in the data points:

- Inconsistent Stream Counts for a Day: Sometimes, a data point may represent the stream count for two days instead of one. This inconsistency arises because Spotify does not update its public stream count at a fixed time daily. If our data recording aligns with these fluctuations, it can lead to inaccuracies.
- Anomalous Data Points (including negative streams): On occasion, you might observe highly irregular data points, such as negative daily streams. These are typically the result of metadata discrepancies on Spotify's end, like different tracks sharing the same International Standard Recording Code (ISRC). In such cases, reaching out to us can be very helpful. We can often disregard these erroneous data points to present a more accurate graph.

In both situations, we're committed to continuously improving our data accuracy and are here to assist with any specific concerns you might have.
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: This occurs due to Spotify's policy of only displaying public stream counts for tracks that have surpassed 1,000 streams. Consequently, if you see a stream count marked as 0 in our system, it indicates that the total stream count for that track is currently below 1,000. As the track accumulates more streams and crosses this threshold, the accurate stream count will start being reflected in our data.