Unlicensed Spectrum: Cablevision Tests the WiFi-Only Waters

I ended an earlier post in this series by suggesting that Cablevision’s launch of Freewheel, a WiFi-only wireless service, marks a new chapter in the emerging “nomadic multiscreen multimedia service battleground.” In this post I’ll elaborate a bit on what I meant by that.

That earlier post reviewed the cable industry’s 20-year history of launching then aborting ventures intended to use licensed spectrum to compete in the wireless market. As comments made to investors in 2009 by Comcast CFO Michael Angelakis suggest, the balance of risk and rewards in these ventures never proved attractive enough for Comcast and other cable operators to follow through with sustained investments. “We don’t want to be the seventh competitor in a market that [is] mature from the voice side,” Angelakis told Wall Street analysts. “And it’s a huge economic investment, which we’re uncomfortable there’s a real return for.”

Another challenge facing these earlier ventures–especially those involving partnerships with wireless providers like Sprint or Clearwire–is that cable operators, especially the largest ones, don’t have a strong track record of successful collaborations; that is, unless the collaboration takes place among their cable peers, who share the same core business and virtually never compete with each other. A good example of this intra-industry mode of collaboration is the industry’s CableLabs R&D consortium which, among other things, has developed multiple generations of cable modem technology.

Comcast’s Executive Vice President David Cohen acknowledged this “partnering” challenge in comments reported in a May 2011 article in the Cherry Hill, NJ Courier-Post, and cited on pg. 80 of Susan Crawford’s 2013 book, Captive Audience. Referring to his company, Cohen conceded that “[w]e’re not very good partners. We like to run things.” [Note: payment is required to access the archived Courier-Post article].

Viewed in light of these two historical factors, the possibility raised by Cablevision’s Freewheel venture is that:

1) the balance of risk and reward for a WiFi-centric wireless strategy is today considerably more favorable than it was for cable’s earlier ventures relying on licensed spectrum;

2) a WiFi-based strategy could rely less (or not at all) on the kind of partnerships that, as Cohen noted, Comcast and its cable peers are “not very good at.”

One shift in the risk/reward balance relates to Angelakis’s 2009 comment about Comcast’s reluctance to enter a mature wireless voice market that has more competitors than cable operators typically face in the wireline access business.

While this difference in competitive dynamics still exists today, Freewheel is mainly targeting nomadic data and video services, not mobile voice. As reported by Jeff Baumgartner of Multichannel News, Cablevision vice chairman Gregg Seibert, speaking at a March 9 investor conference, “reiterated the position that Freewheel is positioned as a data/video product, and that voice will be one of the least-used features of the phone.”

This data/video focus makes ubiquitous coverage, seamless handoff, and a cellular-connection backup (and all their associated costs) less of a requirement than they are for a service that prioritizes support for real-time voice conversations. It also is more intimately tied to the wireline video and high speed data markets in which cable operators are already dominant players. And it holds promise for helping these operators compete successfully in what I earlier referred to as “the emerging nomadic multiscreen multimedia service battleground” (e.g., value-added services that make it easier for customers to manage their media consumption across multiple fixed and portable devices, including large screen TVs, computer monitors, tablets and smartphones).

The press release announcing Freewheel’s launch listed some characteristics of its most likely customers, including those who:

Spend their day in WiFi-rich environments, including colleges, offices and homes
Overspend on data or constantly worry about staying within their expensive and restrictive cellular data limits
Live in densely populated areas or other locales that suffer from poor cellular reception
Are budget conscious or on a fixed income
Are looking for the best first device for their children
Do not want to sign multi-year contracts.

Freewheel’s monthly price for “unlimited data, talk and text” (via WiFi, with no cellular backup) is $9.95 for Cablevision’s existing Internet customers and $29.95 for other users. While the latter seems pretty high when viewed in light of other available options (e.g., the WiFi-first services offered by startups discussed in a prior post), the $9.95 existing-customer price could be quite appealing to some Cablevision customers.

As reported in early March by Sue Marek of FierceCable:

Speaking…at the Mobile World Congress 2015 conference…[COO Kristin Dolan] provided some anecdotal information about some of Freewheel’s customers, including one teacher who participating in the company’s focus group testing. She said this teacher traveled about 7 miles per day between her home and her school. She has Wi-Fi in her home and her school and was willing to forgo having wireless coverage on her short commute in lieu of the cost advantage of Freewheel… However, Dolan also admitted that the service probably isn’t a good option for people that spend a lot of time in cars commuting, although she noted that in some situations people driving 25 to 30 miles per hour can maintain a connection.

One initial limitation of Freewheel is that it is currently available on only one device, the Motorola Moto G smartphone, which is priced at $99.95 (roughly half of its $200 MSRP). But, according to Baumgartner, this single-device constraint is only temporary. “Cablevision,” he reports, “is developing a paid Freewheel app that could launch later this year” and will allow Freewheel to operate “on a broader array of devices, including Apple iPhones.”

In key respects Cablevision is well suited to be the first cable operator to bring a WiFi-only service to market. Among the reasons:

It’s service area is concentrated in the densely populated and relatively affluent and tech-savvy greater NYC tri-state area, and it has a long history of serving both residential and business customers in this area;
It has already deployed a relatively dense WiFi network of roughly 1.1 million hotspots, including outdoor and indoor public spaces, as well as dual-SSID routers installed in customers’ home and businesses (more on the latter in a future post);
It has a history of being early among its cable peers to aggressively deploy new services, including Internet access, wireline telephony, telecom services targeting large and small businesses, network DVRs and, most recently, HBO’s new online “HBO NOW” service.
It is unique among its peers in terms of the large percentage (estimated to be more than half) of its service area facing competition from the combination of Verizon’s FiOS fiber optic-delivered service and its technologically and competitively strong wireless service (for examples of “FiOS + wireless” bundled discounts, see here and here). This makes Verizon a potentially very strong competitor in the emerging nomadic multiscreen multimedia market (at least in its FiOS footprint), a factor likely to impact Cablevision more and sooner than cable operators less exposed to this competitive threat.

Though it remains to be seen what level of success and market impact Freewheel will achieve, the new WiFi-only service should, at the very least, provide some valuable lessons—not only for Cablevision, but also for other cable operators considering whether a wireless play might finally make strategic and financial sense for them.

This is especially true for Comcast, the nation’s largest cable and broadband provider. Like Cablevision, it has been aggressively deploying dual-SSID routers in customers’ homes, a process that has boosted its hot spot count into the millions. Its activities on that front, and recent comments by Comcast executives on the possibility of further moves into the wireless space, will be the focus of the next post in this series.

Primary takeaways

Digital inequality shows larger impacts on youth academic performance as compared to time spent on screens.
Digital skills play a significant role in mediating unstructured online engagement (social media use, playing video games, browsing the web) and youth academic, social, and psychosocial development.
Unstructured online engagement and face-to-face social interaction are complementary and continuously interact to create and enhance youth capital outcomes.

A familiar story: concerns of screen time

Today’s discussions of adolescent well-being have coalesced around a clear narrative: teenagers spend too much time online, and their academic performance, mental health, and social lives are deteriorating as a result. A steady stream of academic papers, books, and op-eds, alongside a growing number of policy proposals––school phone bans, age-gated social media use, restrictive screen-time limits––rest on the same underlying claim, aligning with a contemporary, digitized version of the displacement hypothesis:

Screen time, particularly the unstructured, free-time spent on social media, gaming, watching video content, or browsing the web, is said to displace the productive face-to-face activities that build adolescents into capable adults.

The implied and often practiced solution is restriction. In response, this dissertation tested this claim directly, and placed it within the broader context of adolescence.

Across three years, I followed 653 Michigan adolescents from early through late adolescence: in grades 8 or 9 (survey one, 2019) to grades 11 or 12 (survey two, 2022). Notably, these students, studied over time, were part of a broader pooled sample of 5,825 students across the same eighteen highschools. The study window captured the year before and the year after the peak of the COVID-19 pandemic and related lockdown orders, functioning as an unprecedented stress test for theories of adolescent social, academic, and digital life and, importantly, as a benchmark to compare the effects of pandemic-related change and inequality to those effects from screen time alone.

Across four studies of adolescents, consisting of six cross-sectional and longitudinal analyses, findings are not consistent with the displacement narrative, nor the broader concerns about the time youth spend on screens.

Findings are, however, consistent with something the current public and (most) academic discussions have largely overlooked or ignored: the gaps and inequalities that determine whether adolescents can access and use the internet meaningfully in the first place.

What the displacement hypothesis overlooks

Displacement and related research and policy concerning the time young people spend online assumes a “zero-sum” model of adolescent day-to-day time. An hour online is an hour not spent studying, reading, sleeping, or interacting face-to-face (i.e., time spent on more productive or developmentally “better” activity).

Indeed, this makes sense logically. However, as an empirical claim, this model requires time spent online to behave differently from all other ways adolescents allocate time; it must produce uniquely negative outcomes and be inherently harmful across digital contexts, rather than the typical mix of trade-offs corresponding to, and often overlooked among any other social or developmental context.

Yet, online time does not differ from other youth activity. Instead, I find it has a mix of pros, cons, and even some “uniquely digital” benefits which youth utilize for social and academic gains. When I compared unstructured digital media use against traditional face-to-face interaction and activities, both produced similar patterns: some negative associations with academic outcomes, some null, and some positive.

Trade-offs within traditional face-to-face activity (for example, social time with friends and family, or time spent in after-school extracurriculars) are treated as ordinary developmental experiences that must be experienced for the betterment of development. The identical trade-offs involving digital time tend to be overlooked or ignored, and online engagement is perceived as altogether harmful.

A growing body of evidence, including this dissertation, do not support that distinction. Indeed, the developmental context is routinely misread, leaving out the context of the experiences and time spent on digital, as well as face-to-face activities, interactions, existing inequalities, and changes inherent to development. As such, I proposed a novel framework to understand these contexts:

Digital capital exchange

Rather than treating screen time as a unified harm, this dissertation advances an “exchange”-based framework, grounded in James Coleman’s theories of youth capital and digital inequality scholarship, particularly following Eszter Hargittai, Jan van Dijk, and Alexander van Deursen (see this list of all dissertation references for full works).

The core proposition is that adolescents’ online engagement is not an alternative to developmental activity but another, albiet modern domain through which young people accumulate and mobilize online resources––particularly digital skills––that work alongside existing social networks and experiences to be exchanged for human capital (measured as: academic achievement, aspirations, STEM interest) and social capital (peer networks, community participation, extracurricular involvement).

Online time is not the mechanism; instead, it is digital skills that I find to be the most vital component in youth capital exchange and enhancement. Unstructured online engagement contributes to online skills; those skills, accumulated and mobilized alongside existing peer, family, and community networks, translate into the outcomes researchers and parents care about, i.e., academic achievement, aspirations, and face-to-face interaction and social networks.

This digital capital framework treats online and in-person contexts as complementary rather than antagonistic, and it situates adolescents’ digital lives within the structural conditions––connectivity quality, device reliability, autonomy of use––that determine whether exchange can occur at all.

Methods (in brief)

Paper-and-pencil surveys were administered to students in classrooms at two time-points: spring 2019 (N=2,876) and spring 2022 (N=2,949), across the same eighteen predominantly rural Michigan schools, grades 8–12. Official, nationally-ranked standardized reading, writing, and math test scores (PSAT 8/9, PSAT 10, SAT; College Board) were then anonymously linked to students’ survey responses with the help of participating districts.

Cross-sectional path analyses modeled pooled and wave-specific samples (pooled N=5,825); two-wave cross-lagged panel models tested reciprocal, longitudinal relationships on the 653 students who completed both surveys. Multi-group analyses of the cross-lagged panel models compared relationships between girls (N=345) and boys (N=308). All longitudinal models included time-invariant socioeconomic covariates as well as time-varying covariates to reduce omitted-variable bias.

Key findings: an overview

To summarize, to the best of my ability, eight chapters across 376 pages, I present two primary findings:

First: digital inequality predicted larger and more consistent declines in human capital than screen time did.

Unreliable home internet and technology maintenance problems––experiencing and/or dealing with broken or outdated devices and software, restrictive school-issued hardware, issues with connecting to or maintaining internet access––decreased youth GPA and standardized test achievement. And, these effect sizes were substantially larger than any negative direct effect from unstructured digital media use.

Across all four empirical studies, digital inequality emerged as the most substantial predictor of academic and developmental decline.

Second: digital skills mediated the relationship between online time and adolescent academic and social outcomes.

Unstructured digital media use, particularly online gaming and web browsing, predicted higher internet and social media skills for adolescents, which in turn predicted stronger academic achievement and self-efficacy (human capital), and social interaction and extracurricular participation (social capital). The positive indirect effect of screen time through skills offset or exceeded any small negative direct effects across several outcomes (supporting our existing peer-reviewed work: Hales & Hampton, 2025, and which you can read more about here).

These exchange processes were amplified when peer and family networks were modeled alongside digital skills, consistent with the premise that online and offline contexts operate together rather than in competition. The effect was not universal: social media skills amplified rather than offset a negative association with consistency of interest, one of the two subscales of grit. The exchange framework describes a contextual and conditional, domain-specific mechanism, not a blanket defense of time spent online.

Implications

If digital inequality, and not screen time, is the primary predictor of adolescent academic and developmental decline, and still warrants concern regarding access quality and experience even with the broader adoption of digital devices across the United States, the current policy emphasis on restriction is pointed at the wrong target. The evidence supports a different set of priorities.

Stable, reliable home (fast) broadband should be treated as an educational prerequisite rather than a consumer amenity. Unreliable connectivity exerted larger downward pressure on human capital than any measure of screen time, and that pressure intensified during the pandemic-era reliance on digital infrastructure. Technology maintenance, device repair, replacement, technical support, and the flexibility to install software and explore the web autonomously, matters as much as initial access, and school-issued devices that restrict autonomous use appear to hinder skill accumulation rather than support it.

Restrictive parental mediation of internet use was negatively associated with grit and self-efficacy at magnitudes comparable to the positive contributions of face-to-face activity. This challenges the assumption that digital restriction functions protectively. Instructive mediation, teaching adolescents to verify information, navigate platforms critically, and mobilize online resources toward meaningful ends, is the posture the data supports.

Finally, the technical skill-building that occurs through gaming, self-directed exploration, and deep web use is skill-building, not wasted time. Closing the persistent gender gap in these domains likely requires legitimizing technical play for girls, rather than restricting it for everyone.

None of the above is an argument that screen time is benign. It is an argument that screen time is the wrong focus, particularly when studied mostly in isolation. Context matters substantially, whether that is time spent on other activities during adolescence, the period of adolescence itself, digital inequality, resources gained from such online use, and how all such factors interact. The factor that predicts whether a given adolescent can convert online engagement into capital outcomes is structural: access, infrastructure, skills, and the autonomy to use them. These factors are distributed unevenly, and its uneven distribution, not hours logged, is what separates adolescents who thrive from those who fall behind.

The full dissertation is available through Michigan State University’s ProQuest archive, or see the embedded full-text PDF below. I’m happy to share papers, preprints, or the underlying framework with anyone interested and working in this area––don’t hesitate to reach out via my contact form. Thanks for reading.

Tags: cable operators competition Freewheel unlicensed spectrum Wi-Fi

Unlicensed Spectrum: Cablevision Tests the WiFi-Only Waters