Scientists Just Discovered an Entirely New Way of Measuring Time

 (in-future/Getty Images) 

Marking the passage of time in a world of ticking clocks and swinging pendulums is a simple case of counting the seconds between ‘then’ and ‘now’. Down at the quantum scale of buzzing electrons, however, ‘then’ can’t always be anticipated. Worse still, ‘now’ often blurs into a haze of uncertainty. A stopwatch simply isn’t going to cut it for some scenarios.

A potential solution could be found in the very shape of the quantum fog itself, according to researchers from Uppsala University in Sweden. Their experiments on the wave-like nature of something called a Rydberg state have revealed a novel way to measure time that doesn’t require a precise starting point.

Rydberg atoms are the over-inflated balloons of the particle kingdom. Puffed-up with lasers instead of air, these atoms contain electrons in extremely high energy states, orbiting far from the nucleus. Of course, not every pump of a laser needs to puff an atom up to cartoonish proportions. In fact, lasers are routinely used to tickle electrons into higher energy states for a variety of uses.

In some applications, a second laser can be used to monitor the changes in the electron’s position, including the passing of time. These ‘pump-probe‘ techniques can be used to measure the speed of certain ultrafast electronics, for instance. Inducing atoms into Rydberg states is a handy trick for engineers, not least when it comes to designing novel components for quantum computers.

Needless to say, physicists have amassed a significant amount of information about the way electrons move about when nudged into a Rydberg state. Being quantum animals, though, their movements are less like beads sliding about on a tiny abacus, and more like an evening at the roulette table, where every roll and jump of the ball is squeezed into a single game of chance.

The mathematical rule book behind this wild game of Rydberg electron roulette is referred to as a Rydberg wave packet. Just like actual waves in a pond, having more than one Rydberg wave packet rippling about in a space creates interference, resulting in unique patterns of ripples. Throw enough Rydberg wave packets into the same atomic pond, and those unique patterns will each represent the distinct time it takes for the wave packets to evolve in accordance with one another.

It was these very ‘fingerprints’ of time that the physicists behind this latest set of experiments set out to test, showing they were consistent and reliable enough to serve as a form of quantum timestamping. Their research involved measuring the results of laser-excited helium atoms and matching their findings with theoretical predictions to show how their signature results could stand in for a duration of time.

“If you’re using a counter, you have to define zero. You start counting at some point,” physicist Marta Berholts from the University of Uppsala in Sweden, who led the team, explained to New Scientist. “The benefit of this is that you don’t have to start the clock – you just look at the interference structure and say ‘okay, it’s been 4 nanoseconds.’

A guide book of evolving Rydberg wave packets could be used in combination with other forms of pump-probe spectroscopy that measure events on a tiny scale, when now and then are less clear, or simply too inconvenient to measure. Importantly, none of the fingerprints require a then and now to serve as a starting and stopping point for time.

It’d be like measuring an unknown sprinter’s race against a number of competitors running at set speeds. By looking for the signature of interfering Rydberg states amid a sample of pump-probe atoms, technicians could observe a timestamp for events as fleeting as just 1.7 trillionths of a second.

Future quantum watch experiments could replace the helium with other atoms, or even use laser pulse of different energies, to broaden the guide book of timestamps to suit a broader range of conditions.

This research was published in Physical Review Research.

By Mike McRae

Source: Scientists Just Discovered an Entirely New Way of Measuring Time : ScienceAlert

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China’s Burned Out Tech Workers are Fighting Back Against Long Hours

Ms Tech | Getty

The draining 996 work schedule—named for the expectation that employees work 9 a.m. to 9 p.m., six days a week—has persisted in Chinese companies for years despite ongoing public outcry. Even Alibaba co-founder Jack Ma once called it a “huge blessing.”

In early October this year, it seemed the tide might have been turning. After hopeful signs of increased government scrutiny in August, four aspiring tech workers initiated a social media project designed to expose the problem with the nation’s working culture. A publicly editable database of company practices, it soon went viral, revealing working conditions at many companies in the tech sector and helping bring 996 to the center of the public’s attention. It managed to garner 1 million views within its first week.

But the project—first dubbed Worker Lives Matter and then Working Time—was gone almost as quickly as it appeared. The database and the GitHub repository page have been deleted, and online discussions about the work have been censored by Chinese social networking platforms.

The short life of Working Time highlights how difficult it is to make progress against overtime practices that, while technically illegal in China, are still thriving. But some suspect it won’t be the last anonymous project to take on 996. “I believe there will be more and more attempts and initiatives like this,” says programmer Suji Yan, who has worked on another anti-996 project. With better approaches to avoiding censorship, he says, they could bring even more attention to the problem.

Tracking hours

Working Time started with a spreadsheet shared on Tencent Docs, China’s version of Google Docs. Shortly after it was posted, it was populated with entries attributed to companies such as Alibaba, the Chinese-language internet search provider Baidu, and e-commerce company JD.com.

“9 a.m., 10:30 p.m.–11:00 p.m., six days a week, managers usually go home after midnight,” read one entry linked with tech giant Huawei.

“10 a.m., 9 p.m. (off-work time 9 p.m., but our group stays until 9:30 p.m. or 10 p.m. because of involution,” noted another entry (“involution” is Chinese internet slang for irrational competition).  Within three days, more than 1,000 entries had been added. A few days later, it became the top trending topic on China’s Quora-like online forum Zhihu.

As the spreadsheet grew and got more public attention, one organizer, with the user name 秃头才能变强 (“Only Being Bald Can Make You Strong”), came out on Zhihu to share the story behind the burgeoning project.

“Four of us are fresh college and master’s degree graduates who were born between 1996 and 2001,” the organizer said. Initially, the spreadsheet was just for information sharing, to help job hunters like themselves, they said. But as it got popular, the organizers decided to push from information gathering to activism. “It is not simply about sharing anymore, as we bear some social responsibility,” 秃头才能变强 wrote.

The spreadsheet filled a gap in China, where there is a lack of company rating sites such as Glassdoor and limited ways for people to learn about benefits, office culture, and salary information. Some job seekers depend on word of mouth, while others reach out to workers randomly on the professional networking app Maimai or piece together information from job listings.“I have heard about 996, but I was not aware it is that common. Now I see the tables made by others, I feel quite shocked,” Lane Sun, a university student from Nanjing, said when the project was still public.

Against 996

According to China’s labor laws, a typical work schedule is eight hours a day, with a maximum of 44 hours a week. Extra hours beyond that require overtime pay, and monthly overtime totals are capped at 36 hours.

But for a long time, China’s tech companies and startups have skirted overtime caps and become notorious for endorsing, glamorizing, and in some cases mandating long hours in the name of hard work and competitive advantage.

In a joint survey by China’s online job site Boss Zhipin and the microblogging platform Weibo in 2019, only 10.6% of workers surveyed said they rarely worked overtime, while 24.7% worked overtime every day.

Long work hours can benefit workers, Jack Ma explained in 2019. “Since you are here, instead of making yourself miserable, you should do 996,” Ma said in a speech at an internal Alibaba meeting that was later shared online. “Your 10-year working experience will be the same as others’ 20 years.”

But the tech community had already started to fight back. Earlier that year, a user created the domain 996.icu. A repository of the same name was launched on GitHub a few days later. The name means that “by following the 996 work schedule, you are risking yourself getting into the ICU (intensive care unit),” explains the GitHub page, which includes regulations on working hours under China’s labor law and a list of more than 200 companies that practice 996.

Within three days, the repository got over 100,000 stars, or bookmarks, becoming the top trending project on GitHub at that time. It was blocked not long after by Chinese browsers including QQ and 360, ultimately disappearing entirely from the Chinese internet (it is still available through VPNs).

The 996.icu project was quickly followed by the Anti-996 License. Devised by Yan and Katt Gu, who has a legal background, the software license allows developers to restrict the use of their code to those entities that comply with labor laws. In total, the Anti-996 License has been adopted by more than 2,000 projects, Yan says.

State involvement

Today, 996 is facing increasing public scrutiny from both Chinese authorities and the general public. After a former employee at the agriculture-focused tech firm Pinduoduo died in December 2020, allegedly because of overwork, China’s state-run press agency Xinhua called out overtime culture and advocated for shorter hours.

And on August 26, China’s Ministry of Human Resources and Social Security and the Supreme People’s Court jointly published guidelines and examples of court cases on overtime, sending reminders to companies and individuals to be aware of labor laws. But even though authorities and state media seem to be taking a tougher stand, it is unclear when or if the rules that make 996 illegal will be fully enforced.

Some companies are making changes. Anthony Cai, a current employee of Baidu, says working six days a week is quite rare in big companies nowadays. This year, several tech companies including and ByteDance, the developer of TikTok, canceled “big/small weeks,” an emerging term in China that refers to working a six-day schedule every other week. “Working on Saturday is not that popular anymore,” Cai says. “However, staying late at the office is still very common, which is not usually counted as overtime hours.”

In the future, companies may have to scale further back on overtime to attract young applicants. Faper Fu, a university student in Nanjing, says he has little interest in accepting 996 when he enters the job market. “If I am getting paid a lot, I may consider it,” he says. “But it is not my long-term plan 100%. Having work and life balance is very important to me.”

Cary Cooper, a professor of organizational psychology and health at Alliance Manchester Business School in the UK, thinks Chinese companies will pull away from overtime culture when they see evidence of the impact that long hours have on the health and productivity of workers. “There is no evidence that if people consistently work long hours, their productivity level will increase—it’s the opposite,” he says.

In the meantime, Cooper says, younger generations “won’t stop fighting for a good quality of working life.”

“996 will only make human machines,” wrote  秃头才能变强. “And the only result of a dry human battery is being thrown into the trash can after the battery goes dry.”

Source: China’s burned-out tech workers are fighting back against long hours | MIT Technology Review

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Time: Understand How You Use It, Create More of It, Maximize It, and Sustain It

Graphic: Viktoria Kurpas (Shutterstock)

The writer Annie Dillard says, “How we spend our days is, of course, how we spend our lives.” Yet, we let our weeks happen to us instead of proactively designing our time. We don’t block off our calendars to do heads-down, focused work. We participate in meetings without clear agendas or purposes.

We work without a plan. We let the constant barrage of notifications distract us. We convince ourselves that our busy work is our most important work, even when we know better. The fundamental building block of a workweek is how each individual spends their time. But surprisingly, little attention is dedicated to how we design our hours and workweeks.

For example, when do you do your best work? How many meetings should you schedule on your calendar? Do you allow notifications and respond immediately, or do you turn notifications off to work uninterrupted?

Here are four steps to design your week

Conduct a self-audit to understand your time

Put everything you do on your calendar for two weeks, from meetings and time blocks for emails to special projects and preparing for upcoming meetings; then conduct a time audit by reflecting on the data.

  • What do you notice about how you spent your time?
  • What percentage of your time is dedicated to each project? To meetings?
  • What days of the week are you most focused?
  • What time of day are you most energized?

Use the insights from your audit to take the following steps:

  1. Identify small changes: Making small improvements can add up to big differences. What are the simplest, easiest steps you can take to proactively design your workweek? For me, it was blocking off my calendar to do heads-down deep work time 3-4 times per week and turning off notifications.
  2. Identify significant changes: Making big structural changes to your week can also lead to more time for the most important work. When I completed my self-audit, I realized that there were weekly standing meetings that could either get canceled or that I didn’t need to attend.

Reduce the cost of distractions to create time

The Australian software company Atlassian conducted research into distractions, and the results are staggering:

  • 36: The number of times we check email per hour
  • 16 minutes: Time it takes to refocus after an incoming email
  • 10: How many IQ points you lose when fielding constant emails (the same as losing an entire night’s sleep)
  • 56: The number of times we’re interrupted per day
  • 3 minutes: Spent working before switching between tasks
  • 2 hours: Spent recovering from distractions every day

Here are a few steps to reduce the time lost to distractions:

  1. Email: Turn off email notifications and set aside 2-3 blocks of time to check and respond to emails throughout the day. Then, ignore email for the rest of the day, knowing that you have time allocated to get to it.
  2. Notifications: Turn off all notifications (email, internal team notifications) for certain “deep work zones” scheduled throughout the week. I blocked off two deep work zones each week where I could work uninterrupted.
  3. Create goal-based calendar blocks: I often create 30 or 60-minute calendar blocks where I challenge myself to complete a specific task or reach a particular goal. Like the pomodoro technique, using time constraints to reach a predetermined goal can increase your focus and empower you to tune out distractions.

Finally, consider what you gain when you reduce distractions (time with your children, ability to go to the gym after work, work-free weekends, etc.).

Create boundaries to maximize your time

Boundaries are a crucial step in reducing distractions, burnout, and work stress. With 79% of employees reporting work-related stress in 2021, we need to take personal ownership and reclaim our time.

Boundaries can be hard to create, but consider using the results from your self-audit to help you determine what boundaries will be most valuable. For example, is it protecting your time? Limiting new, additional tasks? Blocking certain times of day for important work while you’re at your best? Avoiding company events that aren’t required?

When communicating your boundaries with others, focus on the benefit they create for the task at hand.

When your availability is limited:

“I prioritize time with my family on X day or after Y time, but I’m fully available [list commonly available times]. How can we leverage that availability to reach our deadline?”

When the project isn’t in line with your priorities:

“I am working on several projects right now and want to ensure I’m effective. Given that our quarterly goals are [insert goals/metrics/objectives], it seems like Y project and Z project are less essential and timely than x project. Is this right? How do you propose I best prioritize?

Test, Optimize, and Repeat to sustain your time

Start with designing just one workday. How might you proactively structure a workday that has a high chance of being focused, productive, and healthy? Make 2-3 small changes across notifications, deep-work time, emails, and boundary-setting. Then at the end of the day, review what you learned. What worked? What didn’t? Then try again for another day. Double down on 1-2 practices you already implemented and select 1-2 more to test.

If you find it harder to make changes daily, consider looking at a whole week and focusing on identifying 2-3 small changes you can make weekly. Then at the end of the week, reflect on what worked and what didn’t, and try again for the following week.

It can often feel like our calendar is predetermined for us; we just need to respond and make the best of it, striving to fit everything in. But we have more power than we sometimes give ourselves credit for. One of the best ways to find more time in our schedule is to recognize the agency within us and begin by taking a few small steps.

By: Banks Benitez

Source: Time: understand how you use it, create more of it, maximize it, and sustain it

.

Related contents:

Bill Belichick stressing time management with difficult road ahead USA Today

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11 Tech Experts On How Small Businesses Can Effectively Leverage Machine Learning

We hear a lot these days about how technologies such as artificial intelligence and machine learning are changing the ways businesses operate. Even casual followers of the technology industry have read stories about how household-name companies including Amazon, Google and IBM are using AI and ML for everything from tailored product recommendations to piloting autonomous vehicles to developing computers that can defeat chess champions and win TV game shows.

Entrepreneurs and small-business owners may think ML is a tool only “the big guys” can afford or use effectively; but there are plenty of ways even startups can use the technology to boost their odds of success, from predicting future purchases (just like the big guys do) to taking labor-intensive tasks off their team members’ plates. Below, 11 members of Forbes Technology Council share ways machine learning can help entrepreneurs and small-business owners and why they’re so effective.

1. Scoring And Prioritizing Leads

Machine learning can help small businesses better identify leads and provide valuable insights into them. ML can not only be used to “score leads” but also to provide insights on the probable time to close. This allows entrepreneurs to create better portfolios from their leads and prioritize them effectively, as you want to balance high-value leads in terms of those that will close “now” versus those that will need some nurturing. – Neerav Vyas, Capgemi

2. Eliminating Time-Intensive, Repetitive Tasks

Technology for the sake of technology is never a good idea. The pandemic has left workers burned out, and the labor shortage is real. Entrepreneurs and small businesses should look for AI/ML technology that helps eliminate the time-intensive, mundane tasks employees do so they can focus on higher-order work. This will keep productivity moving and keep employees motivated. – Prasad Ramakrishnan, Freshworks

3. Analyzing Data

Many entrepreneurs and small businesses do not have the budget for one data analyst, let alone a team of analysts. Machine learning is a way to cover your analytical base without the positional cost. And while most entrepreneurial initiatives start out with a great vision, expecting yourself to peer with otherworldly wisdom into analytics at every turn is simply not tenable. – Denver Hunter, PenServ Plan Services, Inc.

4. Identifying Purchasing Patterns

One of the simplest ways to utilize machine learning in smaller businesses is to use its capabilities to identify patterns, such as purchasing patterns, and to predict near-future purchasing. This can drastically cut supply chain and storage costs—smaller businesses often neither have significant resources in these areas, nor can they afford them. Predictions are excitingly accurate, even with sudden trend changes. – Markus Bernhardt, OBRIZUM

5. Handling Personal Scheduling

Time is money, and entrepreneurs have little of either. Smart scheduling solutions have been a game-changer for me. They analyze my calendar, automate coordination, and streamline how meetings get booked, rescheduled and canceled. – Sean Steele, Infolock

6. Turning Insights Into Ideas

Machine learning can drive home the importance of data and the commodity of technology. Entrepreneurs and small-business owners will find machine learning closing the loop to shorten the distance between doing and dreaming. Operationally, this means turning insights into ideas that are executed for real business impact, with those learnings creating even more insights. – Cleve Gibbon, Wunderman Thompson

7. Understanding Consumer Behavior

In light of recent technological advances, machine learning is becoming more accessible, which can help small businesses and entrepreneurs understand consumer behavior. This alone can provide you with better insight into customer needs and the updates or changes that should be made in order for your company’s products/services to best serve your customers. – Matt Pierce, Immediate

8. Analyzing Customer Feedback

Machine learning should definitely be used to analyze the feedback from your customers. Ideally, you will want to know how to evolve your products and understand what would make a customer become interested in or evolve with your product. Therefore, the feedback loop is highly important; but understanding what is noise and what is truly critical feedback is even more so. Then you can react accordingly. – WaiJe Coler, InfoTracer

9. Identifying Product ‘Winners’ And ‘Losers’

ML can help automate the process of product development. By using artificial intelligence to predict which products are likely to be successful, business owners can save time and money by passing on projects that would have failed anyway, freeing up their resources for more promising endeavors. – Leon Gordon, Pomerol Partners

10. Business Planning

There’s a lot more potential for machine learning to help in business planning processes than is realized at the moment. While machine learning is generally popular in aspects such as marketing and customer service, it is rather underutilized in planning, despite its high potential. Business planning is an important and complicated process where human efforts are not always enough to stay competitive. – Peter Abualzolof, Mashvisor

11. Cleansing Data, Processing Documents And Combating Fraud

ML can be overwhelming for small-business owners because of the learning curve. To start with, small businesses can certainly leverage ML for customer data cleansing, fraud detection, automation of document processing and guarding against phishing attacks. These areas are common pain points, and ML can certainly help small businesses solve these issues as well as realize some long-term cost savings. Later on, small businesses can invest more money in automation. – Kiran Palla, Kiran Palla

Successful CIOs, CTOs & executives from Forbes Technology Council offer firsthand insights on tech & business.

Source: Council Post: 11 Tech Experts On How Small Businesses Can Effectively Leverage Machine Learning

Critics by Gero Keil

Machines have become smart but we are still years away from human-like intelligence. However, until then it is possible for us to understand how machines can learn from data. Depending on the use case, data may be classified, segment, interpreted, extracted and you can run regressions on it. Looking at your business processes (and data) in this manner is the entry ticket to the promised land of AI.

Artificial intelligence has been helping big companies for years. Only recently has AI become available to small businesses through AIaaS (AI as a service). The benefits for small businesses are similar to those of big companies—let’s take a look:

Reduce time spent on mundane tasks: using AI to automate repetitive tasks and analyze large amounts of data helps small businesses free up time to focus on other tasks.

Lower costs: implementing an AI solution reduces costs in the long run by improving efficiency and freeing up time and resources to develop the business.

Improve service: using AI to understand your consumers and how they feel about your product can help you proactively improve your offerings.

Improve security: AI solutions can be implemented to help small businesses detect any suspicious cyber activity before it becomes an issue. AI solutions can help businesses improve customer service in a number of ways, from analyzing customer sentiment to categorizing support requests.

Having insights into customer behavior and sentiment is key for improving your support and product—often before customers themselves request it. AI can help businesses by improving efficiency and productivity when it comes to business operations. Whether that’s by categorizing incoming emails based on their contents, or identifying promising leads and unpromising leads.

AI can help with both simple and complex issues, and can help you and your team free up a lot of time for other important tasks. AI enables businesses to continuously improve their product and offerings with insights into how users interact with them. Simply use AI to monitor what users are talking about and the sentiment behind their words, and make changes accordingly.

AI can help highlight product issues before they’re vocalized by users—meaning you can solve problems before they even arise. Gone are the days where only the biggest organizations leveraged AI—small businesses can now use AI to optimize their processes, too. AI solutions make harnessing the power of machine learning easier than ever before—let’s see how to implement AI in your small business.

Machines have become smart but we are still years away from human-like intelligence. However, until then it is possible for us to understand how machines can learn from data. Depending on the use case, data may be classified, segment, interpreted, extracted and you can run regressions on it. Looking at your business processes (and data) in this manner is the entry ticket to the promised land of AI….

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Young People Lying Flat Has Been A Long Time Coming

Millennials. They’re back at it again with their whining and laziness. This time, they’re daring to quit their jobs due to burnout. Don’t they understand the financial ramifications of quitting or “lying flat,” even for a brief stint? Aren’t they rather young to be burned out?

OK, Boomer.

Millennials, of which I am one, and Xennials, the cohort born from the late 1970s to early 1980s, are indeed leading the charge when it comes to the Great Resignation, or the recent increase in people quitting their jobs, according to an analysis by Visier into U.S. Bureau and Labor Statistics data. More than 6 million people quit their jobs between January and August 2021, according to the BLS’s Job Openings and Labor Turnover Survey. That was a quit rate of 2.9%, a series high.

But this shift can’t be entirely chalked up to generational stereotypes. Rather than laziness, it seems like part of what we’re seeing is a fundamental change in how people value work.

After 18 months of pandemic uncertainty altering how we work, it makes sense we’d return to the questions of why we work, and how our jobs affect our quality of life. Is there perhaps another way to earn an income that better aligns with our overall goals? Couldn’t we create a future of no longer using a career as the primary or sole basis of our identity and self-satisfaction? Shouldn’t this be a moment to consider how to work to live instead of live to work?

Granted, many recent resignations have stemmed from need as opposed to choice. For example, women are more likely to have to quit their jobs to be primary caregivers due to shuttered childcare and in-person schooling during COVID. There is also a great deal of stress around returning to work amidst an ongoing pandemic, especially if you don’t have health care. Long COVID is a growing concern. Although some have quit their jobs to hop to new positions, there are undoubtedly many who’ve quit without another job lined up.

But even before the pandemic, burnout was starting to catch up to us. A 2018 Gallup study found 7 in 10 Millennials felt some sort of burnout on the job, with 28% reporting it as frequent or constant. Whereas 21% of older generations reported feeling the same.

We can theorize that this burnout comes from the increasingly blurred boundaries between being on and off the clock. From being conditioned to believe that appearing “always available” is the hallmark of a promotable employee. From jobs that once required a high school diploma suddenly demanding a bachelor’s degree, forcing young people to get mired in never-before-seen levels of student loan debt. Perhaps too from how we were brought up — being over-scheduled as young students to pad our resumes and gain acceptance to colleges.

Millennials reportedly have higher rates of depression, anxiety and suicide compared with our Gen X and Boomer counterparts. For example, 54% of Millennials perceive their mental health as excellent or good compared to 64% of Baby Boomers, according to a 2020 report from Blue Cross Blue Shield. The same study also found a 43% increase in major depression for millennials between the years of 2014 to 2018.

Quitting a job will never be a cure-all for underlying mental health issues, but taking a short-term hiatus from a large stressor and focusing on getting better can be helpful. There may well be financial repercussions of opting out of the workforce — forgoing income is a serious consideration, as is giving up employer-provided health insurance and pressing pause on investing for retirement.

Even so, it seems millions are willing to take the risk. Reducing future earnings potential to focus on mental health may sound ridiculous to some, but figuring out how to live a stable, balanced and healthy life at a young age could reap enormous rewards for the next generation — and for our workplaces.

It’s quite possible that after decades of wealth accumulation being heralded as the route to success, we can start shifting toward a better balanced life — one in which work is just a piece of who you are and ambition and career success needn’t define you nor be what gives your life meaning. This doesn’t mean we’re without ambition, only that our desire to achieve can encompass more than the traditional, work-centric milestones.

By:

Erin Lowry is the author of “Broke Millennial,” “Broke Millennial Takes On Investing” and “Broke Millennial Talks Money: Stories, Scripts and Advice to Navigate Awkward Financial Conversations.” She wrote this column for Bloomberg Opinion.

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Source: Erin Lowry: Young People ‘lying Flat’ Has Been A Long Time Coming

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