Summary: Rideshare apps have revolutionized our commute, offering unparalleled convenience and flexibility. However, for drivers, these apps come with challenges and limitations beyond their control. This article, the final part of our series "Things You Don't Control In Rideshare," delves into drivers' complexities and frustrations with the app. Algorithmic Control One of the most significant aspects drivers cannot control is the rideshare app's algorithm . This algorithm determines everything from ride assignments to route optimization. Drivers often find themselves at the mercy of an opaque system prioritizing efficiency over fairness. The algorithm's primary function is to match riders with the nearest available driver. While this might seem straightforward, the reality is more complex. Factors such as surge pricing, passenger ratings, and even the time of day can influence how rides are distributed. A study by MIT highlighted how algorithms can lead t
Summary: While the gig economy offers flexibility and the potential for higher earnings, it also harbors several significant drawbacks that might make you reconsider diving in. Here are ten concerning statistics that reveal the darker side of the gig app economy. I hope this can be a frame of reference for those who do research and those who use data-driven ways to look at gig work. 1. Earnings Below Minimum Wage There was a time when I was looking to earn extra income, and I went to pick up an order, which was already picked up. The order was from a popular fast-food chain restaurant, and I was disappointed that someone already picked up the order. I could have called the app company I was working for but was in a hurry to keep going. I thought I would be credited for that order like I usually was, but I was not. After that order, I waited for 45 minutes and did not receive any order, I was multi-mapping, but the wait time was longer than average. I was just waiting for free, even b