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(OLD) DON'T FALL

(OLD) DON'T FALL

A Roblox experience owned by Area 46.

OtherEN

(OLD) DON'T FALL is an "other" genre Roblox experience created on 2023-05-16. The title currently records zero active players. Historical metrics indicate 3,611,670 lifetime visits and 335,435 favorites. The experience maintains a 37% like percentage. An update was released on 06/17.

Description (written by the developer; not a statement by this register)

Join our group or our community server to stay informed about our latest game updates! join the group : https://www.roblox.com/groups/32407240/Area-46#!/about Update released 06/17

Last updated by the developer 8 Jun 2026, 17:26 UTC.

0
playing (measured 11 Aug 2026, 12:34 UTC)
3,611,670
lifetime visits
37%
liked (221 👍 / 369 👎)
335,426
favourites (92.9 per 1k visits)
16 May 2023
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
11 Aug 2026, 12:340first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Infinite Lives
320 R$
Fly Power
99 R$
x2 Coins
88 R$
Sprint
49 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

That's one small step for man · other2,164,598 · 100.0% win
A new ninja?! · welcome597,767 · 0.00% win
New Master ⚔ · progression104,347 · 0.00% win
The god is there ?!! · other22,661 · 0.00% win
FINISH !!! OBBY · progression15,328 · 0.00% win
I am testers! · other15 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.