A significant Lifeline broadband benefit separate from the current Lifeline service, designed primarily to support phone service.
Financial support for community-based emergency efforts to help unconnected households find and makes use of the affordable internet access options available to them. These funds would need to go to local organizations who are already trusted by households who are not connected. Unconnected households tend to be low-income and/or older adults.
While Pew Research from 2015 puts adult smartphone ownership in the U.S. at 72 percent, there’s some debate about smartphone ownership among children. The average age for a child to get their first smartphone is currently 10.3 years according to the recent Influence Central report, Kids & Tech: The Evolution of Today’s Digital Natives.
An average of 65 percent of children aged between 8 and 11 have their own smartphone in the U.K. according to a survey by Internet Matters. That survey also found that the majority of parents would like a minimum age for smartphone ownership in the U.K. to be set at age 10.
However, some kids are using smartphones from a very young age. One study by the American Academy of Pediatrics that focused on children in an urban, low-income, minority community suggested that almost all children (96.6 percent) use mobile devices and that 75 percent have their own mobile device by the age of four.
Lauricella, A., Wartella, E., & Rideout, V. (2015). Young children’s screen time: The complex role of parent and child factors. Journal of Applied Developmental Psychology, 36, 11–17. https://doi.org/10.1016/j.appdev.2014.12.001
Percentage of moms whose children used device by age 2.(THE DATA PAGE)(Statistical data). (2011). Editor & Publisher, 144(10).
PERCENTAGE OF MOMS WHOSE CHILDREN USED DEVICE BY AGE 2
Gen Y moms Gen X moms
Laptop 34% 29%
Cell Phone 34% 26%
Smart Phone 33% 20%
Digital Camera 30% 18%
iPod 34% 13%
Videogame System 13% 8%
Hand-held gaming device 13% 10%
Source: Frank N. Magid & Associates, Inc./Metacafe
T-Mobile Chief Technology Officer Neville Ray wrote in a blog post that millimeter-wave spectrum used for 5G “will never materially scale beyond small pockets of 5G hotspots in dense urban environments.”
With 4G, carriers prioritized so-called “beachfront spectrum” below 1GHz in order to cover the entire US, both rural areas and cities.
5G networks will use both low and high frequencies, but they’re supposed to offer their highest speeds on millimeter waves.
Coiner of the term “Digital Native” and author of seven books and over 100 essays, Marc has spoken in over 40 countries, and his writings have been translated into a dozen languages. He currently promotes a new civilization-level alternative in global education, championing an emerging new “Real-World-Impact Education” paradigm that more directly benefits students and the world in which they live.
Previously in his career Marc taught French, mathematics and music and headed an alternative school in New York City, worked as a consultant at the Boston Consulting Group (and was its first Product Development Director), and founded and ran a computer game company. Marc holds an MBA degree from Harvard, with distinction, and a Master of Arts in Teaching degree from Yale.
his new education plan would work in practice. What would it take to get there from here?
We spend a lot of time debating the characteristics of generations—are baby boomers really selfish and entitled, are millennials really narcissists, and the latest, has the next generation (whatever it is going to be called) already been ruined by cellphones? Many academics—and many consultants—argue that generations are distinct and that organizations, educators, and even parents need to accommodate them. These classifications are often met with resistance from those they supposedly represent, as most people dislike being represented by overgeneralizations, and these disputes only fuel the debate around this contentious topic.
In short, the science shows that generations are not a thing.
It is important to be clear what not a thing means. It does not mean that people today are the same as people 80 years ago or that anything else is static. Times change and so do people. However, the idea that distinct generations capture and represent these changes is unsupported.
What is a generation? Those who promote the concept define it as a group of people who are roughly the same age and who were influenced by a set of significant events. These experiences supposedly create commonalities, making those in the group more similar to each other and more different from other groups now and from groups of the same age in the past.
In line with the definition, there is a commonly held perception that people growing up around the same time and in the same place must have some sort of universally shared set of experiences and characteristics. It helps that the idea of generations intuitively makes sense. But the science does not support it. In fact, most of the research findings showing distinct generations are explained by other causes, have serious scientific flaws, or both.
Numerousbooks, articles, and pundits have claimed that millennials are much more narcissistic than young people in the past.
on average, millennials are no more narcissistic now than Xers or boomers were when they were in their 20s, and one study has even found they might be less so than generations past. While millennials today may be more narcissistic than Xers or boomers are today, that is because young people are pretty narcissistic regardless of when they are young. This too is an age effect.
Final example. Research shows that millennials joining the Army now show more pride in their service than boomers or Xers did when they joined 20-plus years ago. Is this a generational effect? Nope. Everyone in the military now shows more pride on average than 20 years ago because of 9/11. The terrorist attack increased military pride across the board. This is known as a period effect and it doesn’t have anything to do with generations.
Another problem—identifying true generational effects is methodologically very hard. The only way to do it would be to collect data from multiple longitudinal panels. Individuals in the first panel would be measured at the start of the study and then in subsequent years with new panels added every year thereafter, allowing assessment of whether people were changing because they were getting older (age effects), because of what was happening around them (period effects), or because of their generation (cohort effects). Unfortunately, such data sets pretty much do not exist. Thus, we’re never really able to determine why a change occurred.
According to one national-culture model, people from the United States are, on average, relatively individualistic, indulgent, and uncomfortable with hierarchical order. My note: RIchard Nisbett sides with Hofstede and Minkov: http://blog.stcloudstate.edu/ims/2016/06/14/cultural-differences/
Conversely, people from China are generally group-oriented, restrained, and comfortable with hierarchy. However, these countries are so large and diverse that they each have millions of individuals who are more similar to the “averages” of the other country than to their own.
Given these design and data issues, it is not surprising that researchers have tried a variety of different statistical techniques to massage (aka torture) the data in an attempt to find generational differences. Studies showing generational differences have used statistical techniques like analysis of variance (ANOVA) and cross-temporal meta-analysis (CTMA), neither of which is capable of actually attributing the differences to generations.
The statistical challenge derives from the problem we have already raised—generations (i.e., cohorts) are defined by age and period. As such, mathematically separating age, period, and cohort effects is very difficult because they are inherently confounded with one another. Their linear dependency creates what is known as an identification problem, and unless one has access to multiple longitudinal panels like I described above, it is impossible to statistically isolate the unique effect of any one factor.
Are some millennials narcissistic? Are some boomers selfish? Sure, but there are many who are not and whose profiles mirror othergenerations.
First, relying on flawed generational science leads to poor advice and bad decisions. An analogy: Women live longer than men, on average. Why? They engage in fewer risky behaviors, take better care of themselves, and have two X chromosomes, giving them backups in case of mutations. But if you are a man and you go to the doctor and ask how to live longer, she doesn’t tell you, “Be a woman.” She says eat better, exercise, and don’t do stupid stuff. Knowing the why guides the recommendation.
Now imagine you are a manager trying to retain your supposedly job-hopping, commitment-averse millennial employees and you know that Xers and boomers are less likely to leave their jobs. If you are that manager, you wouldn’t tell your millennial employees to “be a boomer” or “grow older” (nor would you decide to hire boomers or Xers rather than millennials—remember that individuals vary within populations). Instead, you should focus on addressing benefits, work conditions, and other factors that are reasons for leaving.
Second, this focus on generational distinctions wastes resources. Take the millennials-as-commitment-averse-job-hoppers stereotype. Based on this belief, consultants sell businesses on how to recruit and retain this mercurial generation. But are all (or even most) millennials job-hopping commitment avoiders? Survey research shows that millennials and Xers at the same point in their careers are equally likely to stay with their current employer for five or more years (22 percent v. 21.8 percent). It makes no sense for organizations to spend time and money changing HR policies when employees are just as likely to stick around today as they were 15 years ago.
Third, generations perpetuate stereotyping. Ask millennials if they are narcissistic job-hoppers and most of them will rightly be offended. Treat boomers like materialistic achievement seekers and see how it affects their work quality and commitment. We finally are starting to recognize that those within any specific group of people are varied individuals, and we should remember those same principles in this context too. We are (mostly) past it being acceptable to stereotype and discriminate against women, minorities, and the disabled. Why is it OK to do so to millennials or boomers?
The solutions are fairly straightforward, albeit challenging, to implement. To start, we need to focus on the why when talking about whether groups of people differ. The reasons why any generation should be different have only been generally discussed, and the theoretical mechanism that supposedly creates generations has not been fully fleshed out.
Next, we need to quit using these nonsensical generations labels, because they don’t mean anything. The start and end years are somewhat arbitrary anyway. The original conceptualization of social generations started with a biological generational interval of about 20 years, which historians, sociologists and demographers (for one example, see Strauss and Howe, 1991) then retrofitted with various significant historical events that defined the period.
The problem with this is twofold. First, such events do not occur in nice, neat 20-year intervals. Second, not everyone agrees on what the key events were for each generation, so the start and end dates also move around depending on what people think they were. One review found that start and end dates for boomers, Xers, and millennials varied by as many as nine years, and often four to five, depending on the study and the researcher. As with the statistical problem, how can distinct generations be a thing if simply defining when they start and when they end varies so much from study to study?
In the end, the core scientific problem is that the pop press, consultants, and even some academics who are committed to generations don’t focus on the whys. They have a vested interest in selling the whats(Generation Me has reportedly sold more than 115,000 copies, and Google “generations consultants” and see how many firms are dedicated to promulgating these distinctions), but without the science behind them, any prescriptions are worthless or even harmful
David Costanza is an associate professor of organizational sciences at George Washington University and a senior consortium fellow for the U.S. Army Research Institute. He researches, teaches, and consults in the areas of generations, leadership, culture, and organizational performance.
Jeff Kao Data Scientist, Software Engineer, Language Nerd, Biglaw Refugee. jeffykao.com
More than a Million Pro-Repeal Net Neutrality Comments were Likely Faked
The Federal Communications Commission released a plan on Tuesday to dismantle landmark regulations that ensure equal access to the internet, clearing the way for internet service companies to charge users more to see certain content and to curb access to some websites.
The proposal, made by the F.C.C. chairman, Ajit Pai, is a sweeping repeal of rules put in place by the Obama administration. The rules prohibit high-speed internet service providers, or I.S.P.s, from stopping or slowing down the delivery of websites. They also prevent the companies from charging customers extra fees for high-quality streaming and other services.
FCC chairman defends net neutrality repeal plan
An analysis of the millions of comments conducted by the data company Gravwell in October found that just 17.4 percent of the comments to the FCC on the net neutrality rules came from real people.
Because many internet services for mobile devices include limits on data use, the changes will be visible there first. In one dramatic scenario, internet services would begin to resemble cable-TV packages, where subscriptions could be limited to a few dozen sites and services. Or, for big spenders, a few hundred. Fortunately, that’s not a likely scenario. Instead, expect a gradual shift towards subscriptions that provide unlimited access to certain preferred providers while charging extra for everything else.
Even Verizon’s “unlimited” plans impose limits. The company’s cheapest unlimited mobile plan limits video streaming quality to 480p resolution, which is DVD quality, on phones and 720p resolution, the lower tier of HD quality, on tablets. Customers can upgrade to a more expensive plan that enables 720p resolution on phones and 1080p on tablets, but the higher quality 4K video standard is effectively forbidden.
Meanwhile, Comcast customers in 28 states face 1 terabyte data caps. Going over that limit costs subscribers as much as an additional $50 a month. As 4K televisions become more common, more households may hit the limit. That could prompt some to stick with a traditional pay-TV package from Comcast.
Republican FCC Chair Ajit Pai argues that Federal Trade Commission will be able to protect consumers and small business from abuses by internet providers once the agency’s current rules are off the books. But that’s not clear.
The good news is the internet won’t change overnight, if it all. Blake Reid, a clinical professor at Colorado Law, says the big broadband providers will wait to see how the inevitable legal challenges to the new FCC order shakeout. They’ll probably keep an eye on 2018 and even 2020 elections as well.
Antitrust laws only go so far when addressing companies that don’t produce any physical goods. It is time to negotiate a new set of rules. Otherwise, our future economy will be dominated by just a few companies.
There are still people out there who think that Amazon is nothing more than an online version of a department store. But it’s much more than that: It is a rapidly growing, global internet giant that is changing the way we shop, conquering more and more markets, using Alexa to suck up our personal data straight out of our living rooms and currently seeking access to our front door keys so it can deliver packages even when nobody’s home.
It wasn’t that long ago that EU efforts to limit the power of Google and Amazon on the European market were decried in the U.S. as protectionism, as an attempt by the Europeans to protect their own inferior digital economy. Now, though, politicians and economists in the U.S. have even begun discussing the prospect of breaking up the internet giants. The mood has shifted.
The digital economy, by contrast, is based on algorithms and its most powerful companies don’t produce any physical products. Customers receive their services free of charge, paying only with their data. The more customers a service provider attracts, the more attractive it becomes to new customers, who then deliver even more data – which is why Google and Facebook need not fear new competition.
first of all, the power of a company, and the abuse of that power, must be redefined. We cannot allow a situation in which these extremely large companies can swallow up potential rivals before they can even begin to develop. As such, company acquisitions must be monitored much more strictly than they currently are and, if need be, blocked.
Second, it must be determined who owns the data collected – whether, for example, it should also be made available to competitors or whether consumers should receive more in exchange than simply free internet search results.
Third, those disseminating content cannot be allowed to reject responsibility for that content. Demonstrably false claims and expressions of hate should not be tolerated.
And finally, those who earn lots of money must also pay lots of taxes – and not just back home but in all the countries where they do business.