Sharh–e Hejran

The song Sharh–e Hejran by Siamak Jahangiri has been played less than 1,000 times on Spotify since its release on October 02, 2018.

Other songs from Siamak Jahangiri

Saz & Avaz III

Siamak Jahangiri, Behzad Mirzayi
“Mane", Chaharmezrab

Siamak Jahangiri, Behzad Mirzayi
Tasnif "Dar Parde Saz" (Bayat Tork)

Siamak Jahangiri, Ashkan Kamangari, Samer Habibi, Ali Bahramifard, Ali-Asghar Arabshahi, Hamid Khansari, Hoseyn Zamani, Nabil Yousef Sheridavi
Tasnif in Rast, Doyek Cycle

Behzad Mirzayi, Mohammad-Reza Darvishi, Negar Buban, Samer Habibi, Sanaz Nakhjavani, Siamak Jahangiri
Reng

Siamak Jahangiri, Ashkan Kamangari

Frequently asked questions

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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.