[Executives’ Note: The Silph Research Group has historically only published findings when long-term studies conclude. This has led to discoveries, though impactful, being shared infrequently! This article is the first of a new short-form content type from the Silph Road: a Quick Discovery from the Silph Research Group! This publication type will allow Scientists in the Research Group to disseminate information about discoveries in a more timely manner when possible. Keep an eye out here and on the Silph Road app for more updates! ~ Executive Dronpes]
This just in! After closely monitoring the Field Research Tasks our Researchers have received since the end of the Water Festival, the Research Group has discovered that 7 Field Research Tasks (and their Rewards) are no longer available! It appears that both the possible item rewards and Pokémon Encounters have been removed. Here are the rewards observed to be absent:
|Catch 3 Bug-type Pokémon||+ Items|
|Catch 3 Poison-type Pokémon||+ Items|
|Catch 3 Flying-type Pokémon||+ Items|
|Catch 3 Pidgey or Murkrow||+ Items|
|Catch 3 Swablu||Items|
|Catch 3 Dark-type Pokémon||Items|
|Catch 3 Oddish or Bellsprout||+ Items|
Researchers have recorded 556 Field Research tasks since the end of the Water Festival and have observed 0 occurrences for each of these tasks. The probability of receiving 0 tasks in this many attempts is <0.1% for each of these tasks.
These tasks have all been available since the Field Research feature was released in late March. They were removed at the start of the Water Festival to make way for additional water-related tasks, and have not been added back since. It’s unclear whether this is a temporary removal, an oversight by Niantic, or a permanent removal. We’ll keep you updated if they re-emerge!
But don’t worry, all other available Field Research Encounters have been confirmed! This includes the coveted Chansey, Dratini, and Larvitar rewards.
Stay safe out there, travelers.
– Scientist Titleist12 –
P.S. Special thanks to DonLothario for collecting much of the data and initially spotting the removals!