Forwarded from 🇪🇺 Записки державного експерта 🇺🇳
Рік починається з поганих кадрових рішень
❤10🗿5😁1
Forwarded from 🏳️🌈 Обскурваторій 🇺🇦 (K🚹tu 🇺🇦 in their ⦾⦾⦾ era)
we're in the hat-swapping stage of government at war
⚡5😁2
Катотека | #УкрТґ ✙
https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men via kvant_void_buddhism
"This is a high-coherence whistleblower post confirming what many suspected but couldn’t prove:
That food delivery apps are algorithmically exploiting both drivers and customers through engineered psychological manipulation and concealed systemic fraud.
Here’s the structural breakdown:
1. “Priority Delivery” is algorithmic gaslighting
•The fee does not increase delivery speed.
•The app slows down non-priority orders to make paid orders appear faster.
•The value is created by worsening the baseline, not improving the premium tier.
•Psychological manipulation is sold as a service.
2. “Desperation Score” is weaponized behavioral profiling
•Drivers are scored based on how quickly and consistently they accept low-paying orders.
•Those who accept garbage orders are labeled as “high desperation.”
•Once tagged, they are withheld from better-paying orders to extract maximum labor for minimum cost.
•It’s a digital caste system governed by internal compliance.
3. “Benefit Fees” are semantic laundering
•Regulatory fees framed as driver protection are redirected to anti-union legal funds.
•Customers believe they’re helping drivers.
•They’re funding corporate legal defense.
4. “Tip Theft 2.0” is legalized predictive exploitation
•Tip data is used to lower base pay predictions.
•The algorithm predicts what you’ll tip, then reduces the company’s contribution.
•Generosity is used as a subsidy mechanism to shift wage burden to the customer.
•The illusion of transparency replaces actual fairness.
5. The internal schema dehumanizes
•Drivers are referred to as “human assets” in system architecture.
•Language reinforces the view that labor nodes are expendable game tokens.
•Planning meetings optimize for fractional margin gains over human dignity.
6. The strategy is denial-of-agency through opacity
•Everything is legal because nothing is disclosed.
•Fees, scores, dispatch logic, and base pay algorithms are black boxes.
•Drivers and customers are both blindfolded while the system feeds on behavioral data.
7. This is not an exception. It’s a blueprint
•This pattern matches what’s happening in rideshare, gig writing, content moderation, and customer service.
•What looks like a scam is actually a platform logic: monetize desperation, mask extraction, externalize moral cost.
This is a glimpse into the structure of algorithmic exploitation as it currently operates:
•Incentive distortion
•Asymmetry of information
•Exploitation masked as choice
•Optimization that crushes the human variable
This leak is coherent with every other structural exploit we’ve detected.
It is not anomalous.
It is the system."
x.com/i/status/2006970570769101234
x.com/i/status/2007176085235208357
via TheVelvetRoom
That food delivery apps are algorithmically exploiting both drivers and customers through engineered psychological manipulation and concealed systemic fraud.
Here’s the structural breakdown:
1. “Priority Delivery” is algorithmic gaslighting
•The fee does not increase delivery speed.
•The app slows down non-priority orders to make paid orders appear faster.
•The value is created by worsening the baseline, not improving the premium tier.
•Psychological manipulation is sold as a service.
2. “Desperation Score” is weaponized behavioral profiling
•Drivers are scored based on how quickly and consistently they accept low-paying orders.
•Those who accept garbage orders are labeled as “high desperation.”
•Once tagged, they are withheld from better-paying orders to extract maximum labor for minimum cost.
•It’s a digital caste system governed by internal compliance.
3. “Benefit Fees” are semantic laundering
•Regulatory fees framed as driver protection are redirected to anti-union legal funds.
•Customers believe they’re helping drivers.
•They’re funding corporate legal defense.
4. “Tip Theft 2.0” is legalized predictive exploitation
•Tip data is used to lower base pay predictions.
•The algorithm predicts what you’ll tip, then reduces the company’s contribution.
•Generosity is used as a subsidy mechanism to shift wage burden to the customer.
•The illusion of transparency replaces actual fairness.
5. The internal schema dehumanizes
•Drivers are referred to as “human assets” in system architecture.
•Language reinforces the view that labor nodes are expendable game tokens.
•Planning meetings optimize for fractional margin gains over human dignity.
6. The strategy is denial-of-agency through opacity
•Everything is legal because nothing is disclosed.
•Fees, scores, dispatch logic, and base pay algorithms are black boxes.
•Drivers and customers are both blindfolded while the system feeds on behavioral data.
7. This is not an exception. It’s a blueprint
•This pattern matches what’s happening in rideshare, gig writing, content moderation, and customer service.
•What looks like a scam is actually a platform logic: monetize desperation, mask extraction, externalize moral cost.
This is a glimpse into the structure of algorithmic exploitation as it currently operates:
•Incentive distortion
•Asymmetry of information
•Exploitation masked as choice
•Optimization that crushes the human variable
This leak is coherent with every other structural exploit we’ve detected.
It is not anomalous.
It is the system."
x.com/i/status/2006970570769101234
x.com/i/status/2007176085235208357
via TheVelvetRoom
🤬14🗿2