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Taiga

#86542BGG ↗

2010 · 2-6 players · 15min · weight 1.10 · 134 ratings

v2 v3 v4 wide v4 deep

BGG raw

ID
86542
Name
Taiga
Year
2010
Rank
13759
Min players
2
Max players
6
Playing time
15
Min playtime
15
Max playtime
15
Avg weight
1.1
Num weights
10
Bayes avg
5.54584
Average
6.3306
Users rated
134
Num owned
312
Wanting
1
Wishing
33
Num comments
45
Fetched at
Wed Apr 29 2026 05:34:57 GMT+0000 (Coordinated Universal Time)
Mechanisms (2)
MemorySet Collection
Categories (4)
AnimalsChildren's GameDeductionMemory
Description (1336 chars)

To set up Findevier, lay out the ten double-sided animal discs in a circle. Shuffle the deck of cards, place them in the circle, then reveal the top card, thereby showing the animal that players will search for in the first round. Place 1-4 tokens in the circle to account for the animals of this type that aren't visible. (Two cards show woodland elves instead of an animal, and the player who draws this card chooses which animal players will search for.) On a turn, a player flips over one of the discs to reveal the animal shown on the other side. If the player reveals the target animal, she earns one token from the circle; if the player reveals the fourth animal of this type, the player takes the final token, along with the animal card. Once all four animals of the desired type are visible, reveal the next card. Once all twelve cards have been used, the game ends and the player with the most points wins. Each token and animal card is worth one point, while the two elf cards are worth two points each. Game play in Taiga is nearly identical to that of Findevier, with the differences being (1) that the game has only ten animal cards and no elf cards; (2) that a player who reveals an incorrect animal must return a token to the bank; and (3) that each token is worth one point and each animal card is worth two points.

LLM v2 (wide)

Not yet enriched at v2 (wide pass).

LLM v3 (deep)

Not yet enriched at v3 (deep pass).

LLM v4 wide (controlled-vocab primitives)

Not yet enriched at v4 (wide pass).

LLM v4 deep (archetype fit)

Not in the v4 deep-pass top-20% slice.