Newsletter Subject

This child abuse prediction model fails poor families

From

wired.com

Email Address

wired@newsletters.wired.com

Sent On

Wed, Jan 17, 2018 10:23 PM

Email Preheader Text

If you are unable to see the message below, . PLUS: The physics of a UK intersection that kills cycl

If you are unable to see the message below, [click here to view](. PLUS: The physics of a UK intersection that kills cyclists, Ford’s first electric car, and NASA’s new deep-space navigation system. [View this email in your browser]( [logo]( [[WIRED Magazine]1.17.18]( Bias has always been an issue in child welfare programs. “Let’s say there was a call because the kids were home alone. Then they’re doing their investigation with mom, and she admits marijuana use,” says Catherine Volponi, director of the Juvenile Court Project. “Now you get in front of a judge who, perhaps, views marijuana as a gateway to hell.” A mom’s personal lifestyle choice just put her at risk of losing her children. Given the gravity and subjectivity of the situation, you’d think adding some data would help. And theoretically, it would. But, as Virginia Eubanks found while researching her book, [Automating Inequality]( bias has a way of creeping in—and then being excused as algorithmic objectivity. Take the Allegheny Family Screening Tool (AFST), a model used in Pittsburgh and the rest of Allegheny county that predicts how likely a child is to come to harm. But what that model considers risk factors for child abuse and neglect—things like how often you use public resources like county medical assistance, and how often your neighbors complain about you—really amount to poverty profiling. “Like racial profiling, poverty profiling targets individuals for extra scrutiny based not on their behavior but rather on a personal characteristic: They live in poverty,” writes Virginia Eubanks. “Because the model confuses parenting while poor with poor parenting, the AFST views parents who reach out to public programs as risks to their children.” Also: The physics of a UK intersection that [kills cyclists]( Ford’s first [electric car]( and NASA’s new [deep-space navigation]( system. Book Excerpt A Child Abuse Prediction Model Fails Poor Families By Virginia Eubanks Though it has been billed as a crystal ball for predicting child harm, in reality the Allegheny Family Screening Tool mostly just reports how many public resources families have consumed. Wealthier caregivers use private insurance or pay out of pocket for mental health or addiction treatment, so they are not included in the county’s database. Auto Industry Ford Finally Makes Its Move Into Electric Cars By Aarian Marshall Ford announced that it will pump $11 billion into electric vehicles in the next five years, with 24 hybrid and 16 fully electric vehicles to debut by 2022. The company said a year ago it would spend $4.5 billion on EVs by 2020; now it’s nearly doubling that commitment. Space NASA Just Proved It Can Navigate Space Using Pulsars. Where to Now? By Robbie Gonzalez A spacecraft equipped to scan the depths of space for pulsar beacons could calculate its absolute position in space without communicating with Earth. That would buy valuable time for executing maneuvers in deep space. Physics The Physics of the 69-Degree Intersection That Kills Cyclists By Rhett Allain The post looked at a particular crossroad in the United Kingdom that leads to a large number of accidents between bicycles and cars. In short, the problem comes about because of the angle of the intersection (it's not perpendicular) and the angle of the blind spot in the car from its front pillar. [advertisement]( [Powered by LiveIntent]( [Ad Choices]( [WIRED Magazine Subscription] Get Wired Don't Let the Future Leave You Behind. Get 12 Months of WIRED Magazine for Just $10. SUBSCRIBE NOW Lose-lose Situation Twitter Tried to Curb Abuse. Now It Has to Handle the Backlash By Louise Matsakis The Project Veritas videos show a range of selectively edited insights from inside Twitter. One engineer says that Twitter would theoretically comply with a Department of Justice investigation into Trump’s Twitter account. Another video shows a series of employees explaining "shadowbans," a practice by which Twitter will sometimes make it more difficult to find and view a user's tweets, rather than banning that person outright. Free Speech Why Cloudflare Let an Extremist Stronghold Burn By Steven Johnson Matthew Prince had already been accused of helping copyright violators, sex workers, ISIS, and a litany of other deplorables. It was hardly a surprise to him that neo-Nazis would be added to the list. Come late summer, however, he would no longer be able to take that breezy attitude. gaming Now On Nintendo Switch, Furi Embraces the Power of a Good Boss Fight By Julie Muncy With pounding synth-heavy music and a visual style riffing off of anime and cyberpunk, it's an unending stream of big-bad showdowns, the sort of challenging, mano a mano fights usually served up as level or quest climaxes in other games. Gadget Lab Podcast How Diversity-Promoting 'Shine Theory' Improves Design By Wired Staff If you're designing a product intended for the masses, how do you make sure it reaches the widest possible audience? We answer that question in this discussion between WIRED’s Arielle Pardes and Google product manager Lilian Rincon. The pair talk about the rise of Assistant, its role as a global citizen, and the importance of creating diverse teams to build products—especially those like Assistant, which is rapidly becoming an intimate part of peoples’ lives. [advertisement]( [Powered by LiveIntent]( [AdChoices]( [WIRED Magazine]( [Facebook]( [Twitter]( [Pinterest]( [Youtube]( [Instagram]( This e-mail was sent to you by WIRED. To ensure delivery to your inbox (not bulk or junk folders), please add our e-mail address, [wired@newsletters.wired.com]( to your address book. View our [Privacy Policy]( [Unsubscribe]( Copyright © Condé Nast 2018. One World Trade Center, New York, NY 10007. All rights reserved.

Marketing emails from wired.com

View More
Sent On

02/12/2024

Sent On

30/11/2024

Sent On

08/11/2024

Sent On

06/11/2024

Sent On

06/11/2024

Sent On

03/11/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.