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Waze considers reducing suggestions for dangerous left-hand turns that save time

David Yanofsky / Quartz :

Quartz David Yanofsky

Context & Ripple Effects

Waze built its reputation on routing drivers around congestion at any cost, and that optimization has repeatedly put the company on the defensive. In early 2015 sheriffs pressed Google to strip out the police-location warnings they said endangered officers; by mid-2016 the Washington Post was documenting the through-traffic burden navigation apps impose on residential streets near highways.

The left-turn question extends that pattern from social friction to physical risk: Waze is now weighing whether to stop recommending turns that shave minutes but cross oncoming traffic. It lands in the same month as the app's major decluttering redesign, and it foreshadows the harder conflict that followed — by late 2017, Leonia, NJ was closing 60 streets to outsiders specifically to repel Waze-routed cut-through traffic.

First-order effects

  • Drivers on Waze lose some of the fastest routes when the app suppresses left-turn suggestions across busy traffic — a direct trade of user time for crash-risk reduction.

Second-order effects

  • Municipalities fighting cut-through traffic gain an argument that routing apps should internalize externalities themselves, strengthening the case of towns like Leonia that have already resorted to closing streets.
  • Google faces a recurring governance problem: each contested Waze feature — police warnings, residential shortcuts, risky turns — invites outside pressure to override pure crowd-optimized routing.

Third-order effects

  • If the pattern holds, turn-by-turn navigation evolves from maximizing speed toward weighted objectives that price in safety and neighborhood impact, with cities and law enforcement acting as de facto constraints on routing algorithms rather than bystanders.

The trend: Navigation apps are being pushed from pure fastest-route optimization toward socially negotiated routing, as communities and officials constrain what algorithmic efficiency is allowed to cost.