Beheshte Didar

The song Beheshte Didar by Anoosh Jahanshahi has been played less than 1,000 times on Spotify since its release on June 06, 2007.

Other songs from Anoosh Jahanshahi

Avaz Homayoun

Sina Sarlak, Anoosh Jahanshahi, Sina Jahanabadi, Pasha Hanjani, Roshanak Noori, Majid Asgari, Mohsen Alizadegan
Solo Setar Bayate Tork

Anoosh Jahanshahi
Chatre Eshgh

Anoosh Jahanshahi
Man Na Manam

Sina Sarlak, Anoosh Jahanshahi, Sina Jahanabadi, Pasha Hanjani, Roshanak Noori, Majid Asgari, Mohsen Alizadegan
Ma Ze Balaeim

Sina Sarlak, Anoosh Jahanshahi, Sina Jahanabadi, Pasha Hanjani, Roshanak Noori, Majid Asgari, Mohsen Alizadegan

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.