logo
Gadget review: The Whoop MG packs a solid, feature-heavy punch

Gadget review: The Whoop MG packs a solid, feature-heavy punch

Khaleej Times3 days ago

'So, what's your Whoop age looking like this week?' has become a new way to greet my friends and fellow fitness enthusiasts. Last month, fitness tracking company Whoop launched two of their new devices- the Whoop 5.0 and the Whoop MG. The devices have many new features, including Healthspan which helps determine the pace of aging and your Whoop age using nine different metrics.
Founded in 2012 by Harvard University student athlete Will Ahmed along with his classmates to track their own rest and recovery, Whoop has now exploded in popularity. Used by elite athletes like footballer Cristiano Ronaldo, swimmer Michael Phelps, basketball legend LeBron James, and cricketer Virat Kohli, Whoop has become known for its accuracy in measuring data on sleep, heart rate variablity, oxygen levels and strain-a measure of how much effort accumulated by the user during the day with exercises and daily activities.
The Whoop MG, a medical-grade equipment, is one of the smartest wearables available on the market and offers several insights which they claim has never before been offered in a single tracking system. From a built in heart screener with ECG to blood pressure insights, the device promises to take wearable technology to the next level.
As a loyal Whoop customer since 2021, I love the insights the device has given me so far, and these have shaped my fitness journey tremendously over the last four years. In 2022, Whoop notified me that it seemed like I had developed Covid, after which I got tested and found that I was indeed Covid positive.
So, when the upgrades were launched, I was eager to get my hands on the Whoop MG. I have been wearing the device for over a month now and here is my honest review of it.
The User Experience
First of all, the upgrade to the new device and getting it up and running was a piece of cake. Kudos to Whoop for making it so seamless. It is about 7 per cent smaller than its predecessor and has enhanced sensors. Data is captured 26 times per second, which means better insights.
My experience with it was that the strain measured was slightly lower than my Whoop 4.0 metrics. Usually, my 1.5 hours of Jiu Jitsu lessons would work up a strain in the range of 12 to 13. However, with my Whoop 5.0, it measured in the range of 10 to 11, even though the calories burnt were fairly the same. My previous experiences have taught me that the tightness of the strap and its position on the wrist can affect the accuracy. So I tightened the straps and even tested it out in my wearable Whoop clothes but the results were consistent.
Despite the better performance, the battery life has not suffered at all. What I love the most about the new device is how I only have to charge it once in 14 days. This has been made possible by a redesigned processor that delivers 10 times more power efficiency.
The sleep metrics measurements have also been spot on. Even though I was sleeping more, my recovery rate remained in the yellow region. I later realized that I was not unwinding well enough during the evening. Practices like journaling and putting my screen away at least an hour before bedtime helped me tremendously to improve my recovery. These are things I would have never noticed if not for a Whoop.
The Medical Grade
The most significant feature of the Whoop MG is the Heart Screener with ECG. A sensor helps measure the heart rate in seconds and alerts you if it detects signs of Atrial Fibrillation (Afib) or a low or high heart rate. Mine was within the normal sinus rhythm, which means the heart was beating in a normal pattern
The blood pressure feature delivers estimated systolic and diastolic readings once a day based on inputs and wearable data. These features are still in the development stage so may vary. You also need an external Whoop cuff to manually measure your blood pressure and input it into the device.
The Women's Hormonal Insight is probably where I've gained the most insights. It was already there in the Whoop 4.0, but the new device gives in-depth information, which helps me tailor my workouts as well as diet. Every phase on a menstrual cycle is broken down and explained. The device outlines overall mood, hormone levels, sleep needs, ideal training types, and recommended foods. There is also an update in the Sleep Coach on Whoop to incorporate the sleep cycle for increased accuracy.
Studies have repeatedly proven that training according to the menstrual cycle have health benefits for women. However, very little research goes into it. When a company of the magnitude of Whoop invests time and money into it, I think it is an overall win for women's health.
The Lowdown
The new Whoop device comes with three membership plans. The Whoop MG Life membership costs Dh1,379 per year, which works out to approximately Dh115 per month. It is the only one that will give users the heart screener and blood pressure insights. The next tier of membership- Peak- costs Dh919 per year and gives access to the healthspan and pace of aging. The most basic membership that is called One, will cost Dh699 which comes to approximately Dh 59 per month.
The question on most users' mind is: is it worth paying a premium to get medical information on your Whoop? The answer is tricky and depends on personal preferences. If you are a fitness enthusiast and want to have as many insights as possible, then the Whoop MG Life does that for you. It can help biohack your health, fitness and recovery to focus on longevity. However, if you are just a regular user who wants to make sure you are sleeping and exercising well, a basic or mid-tier membership is the best way to go. It also remains to be seen how well Whoop can preempt body changes or catch underlying issues with its new insights. In all, I'm happy with my new Whoop device, but the jury is still out on which membership to opt for. It also makes one wonder; how much data is too much data? Also, with other devices and smartwatch makers fine-tuning their technology to match the metrics of Whoop, I think the wearable sector is undergoing a rapid transformation where the ultimate winner will be the consumer.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Google is going ‘all in' on AI. It's part of a troubling trend in big tech
Google is going ‘all in' on AI. It's part of a troubling trend in big tech

Zawya

time4 hours ago

  • Zawya

Google is going ‘all in' on AI. It's part of a troubling trend in big tech

Google recently unveiled the next phase of its artificial intelligence (AI) journey: 'AI mode'. This new feature will soon be released as a new option to users of Google's search engine in the United States, with no timeline yet for the rest of the world. The company says it will be akin to having a conversation with an expert well versed on a wide range of topics. This is just one of many steps Google is taking in pursuit of its 'all-in' approach to AI. The 'all-in' approach extends beyond just integrating the technology into different applications. Google is providing products all along the AI supply chain – a process known as 'vertical integration' – housing everything from AI computer chips through to the user interfaces we interact with on a daily basis, such as Google maps or Gmail. Google isn't the only AI company with ambitions of vertical integration. For example, OpenAI recently acquired a hardware startup co-founded by Apple's Jony Ive, which will centralise hardware development within the company. Amazon is taking similar steps. It owns cloud computing platforms, custom chips, device plans and is incorporating more AI services into products. This may be the beginning of a trend of vertical integration across big tech. And it could have significant implications for users and companies alike. The AI 'tech stack' Hardware, software, data sources, databases and servers are some of the layers that make up what is commonly referred to as the 'AI tech stack'. There are four main layers to Google's evolving vertical tech stack: 1. Hardware layer. Google develops its own AI chips, known as tensor processing units (TPUs). The company claims these chips provide superior performance and efficiency compared to general purpose processors. 2. Infrastructure layer. The company uses its own cloud infrastructure to source its computing power, networking and storage requirements. This infrastructure is the foundation for running and scaling AI capabilities. 3. Model development layer. In-house research capabilities are used to drive the development of their products and services. This includes research around machine learning, robotics, language models and computer vision. 4. Data layer. Data is constantly sourced from users across all Google platforms, including its search engine, maps and email. Data collection is a condition of using any Google application. Some argue vertical integration is an optimal and cost-effective business strategy in many industries, not just tech. However, the realities of this set-up prove otherwise. Fuelling power imbalances Google and OpenAI are two of just a handful of companies which dominate the global technology market. Thanks to this market dominance, these companies can charge higher markups for their goods and services and abuse practices in online advertising. Vertical integration further skews this power imbalance by centralising the layers of the AI tech stack to one company. A distribution of hardware, infrastructure, research and development and data across multiple industries helps support a more equitable playing field across the industry. The loss of this equity creates greater barriers to entry for smaller companies as the larger conglomerates keep everything in-house. It also reduces incentives to innovate in ways that benefit consumers because it eliminates the business competition that usually drives innovation. Data is often described as the new gold. This is especially true in the case of AI, which is heavily reliant on data. Through its many platforms, Google has access to a continuous stream of data. In turn, this gives the company even more power in the industry. The vulnerabilities of vertical integration The success of a company that is vertically integrated relies on housing the best knowledge and expertise in-house. Retaining this level of resourcing within a small handful of companies can lead to knowledge and expertise hoarding. Research shows knowledge and expertise hoarding reduces social learning and increases disparities between 'winners' and 'losers' in a given market. This creates an overall vulnerable industry because net gains are lost in the pursuit of exclusivity. Exclusivity also breeds a lack of resilience. That's because the points of failure are centralised. Risk is better managed with additional oversight, transparency and accountability. Collaborations across industry rely on these processes to work together effectively. Centralising the AI tech stack within one organisation eliminates external scrutiny, because it reduces interactions with external providers of products and services. In turn this can lead to a company behaving in a more risky manner. Regulatory bodies can also provide external scrutiny. However, the current push to deregulate AI is widening the gap between technology development and regulation. It is also allowing for big tech companies to become increasingly opaque. A lack of transparency raises issues about organisational practices; in the context of AI, practices around data are of particular concern. The trend towards vertical integration in the AI sector will further increase this opacity and heighten existing issues around transparency.

Nicole Kidman to star in TV adaptation of 'Girls and Their Horses'
Nicole Kidman to star in TV adaptation of 'Girls and Their Horses'

Khaleej Times

time4 hours ago

  • Khaleej Times

Nicole Kidman to star in TV adaptation of 'Girls and Their Horses'

Hollywood star Nicole Kidman will star in and executive produce a new series adapted from Girls and Their Horses by Eliza Jane Brazier. Brazier's novel, set in the idyllic community of Rancho Santa Fe, California, follows the newly wealthy Parker family as their daughters enter the fiercely competitive world of horseback riding, reported People. The murder mystery is currently in development and will be co-produced by Legendary Television and Amazon MGM Studios for Prime Video. Jenna Lamia will serve as showrunner and executive producer, as per the outlet. The actress has starred in several successful book-to-television adaptations in recent years, including Big Little Lies and Nine Perfect Strangers, reported People. The casting details are still under wraps. Meanwhile, Kidman will be seen in the sequel to the 1998's Practical Magic. The film also stars Sandra Bullock. The movie, directed by Susanne Bier, is set to be released on September 18, 2026, and will feature Bullock and Kidman reprising their roles as witch sisters Sally and Gillian Owens. The film is based on Alice Hoffman's novel and will explore themes of sisterhood, female empowerment, and domestic abuse with a touch of supernatural fun. Susanne Bier is directing the film, which Bullock, Kidman, and Denise Di Novi are producing. The script is co-written by Akiva Goldman and Georgia Pritchett.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store