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Tesla EVs Are Lying to You About Their Range

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As the electric vehicle (EV) industry continues to gain momentum, Tesla, one of the leading manufacturers, has found itself in the midst of controversy. Recent reports suggest that Tesla intentionally overinflated the range estimates of its EVs. This revelation has raised eyebrows and sparked debates among industry experts and consumers. In this article, we will delve into the details of the controversy, exploring the allegations, their potential implications, and the broader context of range estimation in the EV industry.

Remember when Reuters said that Tesla has been inflating the range estimates?

According to a report by Reuters, an anonymous source claims that Tesla has been inflating the range estimates of its electric vehicles since around a decade ago. The source reveals that Tesla implemented algorithms to inflate the projections at a full charge, giving the impression of a longer range.

However, once the vehicles reach a 50 percent state of charge, the range estimates become more realistic, ensuring drivers have a better chance of avoiding being stranded. Furthermore, the source alleges that Tesla maintains a 15-mile buffer, allowing the vehicle to continue driving on battery power even after reaching zero charge. It is suggested that these measures were implemented at the behest of Tesla’s CEO, Elon Musk, to present more favorable range numbers.

In addition to the intentional inflation of range estimates, the Reuters report also claims the existence of a dedicated “Diversion Team” within Tesla. This team’s primary objective is said to be canceling service appointments from customers who express concerns about their vehicles falling short of the misleading range estimates. Each cancellation reportedly saved the company approximately $1,000, as highlighted by a xylophone note played by team members after each successful cancellation. While Tesla has not officially responded to the allegations, such practices, if true, raise ethical concerns regarding the company’s commitment to transparency and customer satisfaction.

Tesla is not the first technology company to face allegations of manipulating product performance metrics. In fact, Apple’s “batterygate” scandal serves as a cautionary tale. In 2017, Apple admitted to intentionally slowing down older iPhone models to preserve battery life and prevent unexpected shutdowns. The company faced significant backlash and legal consequences, eventually agreeing to a settlement of $113 million. Apple’s experience highlights the importance of accurate and transparent performance metrics and the potential legal and reputational risks associated with misleading consumers.

Tesla’s range estimate controversy has not gone unnoticed by regulators worldwide. In the United States, the Environmental Protection Agency (EPA) compelled Tesla to reduce its range estimates for the 2020 model-year vehicles by an average of 3 percent. This regulatory intervention demonstrates the seriousness of the issue and the need for accurate and reliable information for consumers. Furthermore, earlier this year, Tesla was fined $2.2 million in South Korea for failing to deliver the estimated range of its vehicles in cold weather conditions. Such penalties emphasize the importance of adhering to industry standards and providing accurate information to customers.

To put Tesla’s range estimate controversy into perspective, it is essential to understand the broader context of range estimation in the EV industry. It is common for EVs to display larger range numbers when fully charged, which gradually drop as the battery is depleted, especially during highway driving. This phenomenon can be attributed to several factors, including the increased energy consumption of EVs during constant motion and the absence of regenerative braking on highways. In contrast, EVs often achieve longer ranges in city driving, where regenerative braking can provide some return energy.

We can turn to the analysis conducted by EV analytics firm, Recurrent, to evaluate the accuracy of Tesla’s range estimates. Their study compared real-world range data with estimated range figures for various electric vehicles, including the Ford Mustang Mach-E, Chevrolet Bolt, and Hyundai Kona. According to Recurrent’s findings, these vehicles generally had more accurate estimates, with the Hyundai Kona even underestimating its actual range. Such comparisons highlight the importance of manufacturers providing reliable and trustworthy range estimates to empower consumers to make informed decisions.

At the heart of the Tesla range estimate controversy lies the issue of transparency and consumer trust. Accurate and reliable range estimates are crucial for EV owners, as they directly impact their driving experience and ability to plan trips without the fear of running out of charge. By intentionally inflating range projections, Tesla risks eroding consumer trust and damaging its reputation as a leader in the EV industry. Maintaining transparency and providing accurate information should be a priority for all EV manufacturers to build long-term customer loyalty.

The potential consequences of misleading consumers

The allegations surrounding Tesla’s intentional overinflation of range estimates have scrutinized the company. While Tesla has not officially responded to these claims, the controversy highlights the significance of accurate and transparent range information in the EV industry. The example of Apple’s “batterygate” scandal serves as a reminder of the potential consequences of misleading consumers. As regulators and consumers demand greater transparency, it is crucial for EV manufacturers, including Tesla, to prioritize accuracy and build trust through reliable range estimates. Ultimately, a commitment to transparency will benefit consumers and contribute to the EV industry’s sustainable growth.

First reported on The Verge

Frequently Asked Questions

1. What are the allegations against Tesla regarding its range estimates?

An anonymous source claims that Tesla intentionally overinflated the range estimates of its electric vehicles. Tesla is alleged to have implemented algorithms to show longer ranges at a full charge, while the estimates become more realistic as the battery depletes. It is also suggested that Tesla maintains a 15-mile buffer, allowing the vehicle to continue driving on battery power even after reaching zero charge.

2. Why would Tesla inflate its range estimates?

The source alleges that Tesla’s CEO, Elon Musk, wanted to present more favorable range numbers to customers, potentially to boost the perceived performance and attractiveness of the vehicles.

3. How did Tesla handle customer concerns about range discrepancies?

According to the report, Tesla had a dedicated “Diversion Team” whose role was to cancel service appointments from customers who expressed concerns about their vehicles falling short of the misleading range estimates. Each cancellation reportedly saved the company approximately $1,000.

4. How has the EV industry responded to Tesla’s range estimate controversy?

The controversy has attracted regulatory attention. The Environmental Protection Agency (EPA) compelled Tesla to reduce its range estimates for the 2020 model-year vehicles by an average of 3 percent in the United States. Additionally, Tesla faced a fine of $2.2 million in South Korea for failing to deliver the estimated range of its vehicles in cold weather conditions.

5. How does the controversy affect consumer trust and transparency in the EV industry?

The controversy raises concerns about transparency and consumer trust. Accurate and reliable range estimates are essential for EV owners to plan trips and manage their charging needs effectively. By intentionally inflating range projections, Tesla risks eroding consumer trust and damaging its reputation as a leader in the EV industry.

6. How does Tesla’s situation compare to other technology companies’ scandals?

Tesla’s situation is reminiscent of Apple’s “batterygate” scandal in 2017, where Apple admitted to intentionally slowing down older iPhone models. The scandal resulted in legal consequences and a settlement of $113 million. It highlights the importance of providing accurate and transparent information to consumers to avoid potential legal and reputational risks.

7. How does the controversy impact the broader context of range estimation in the EV industry?

The controversy sheds light on the importance of reliable range estimates for EVs. While it is common for EVs to display larger range numbers when fully charged, transparency and accuracy in range estimation are crucial to empower consumers to make informed decisions about their EVs and their driving experiences.

8. What can Tesla and other EV manufacturers do to address the issue?

Tesla and other EV manufacturers should prioritize transparency and accuracy in range estimates. Providing reliable information will help build consumer trust and foster long-term customer loyalty. As regulators and consumers demand greater transparency, EV manufacturers must ensure their range estimates accurately reflect real-world driving conditions.

Featured Image Credit: JP Valery; Unsplash; Thank you!

John Boitnott

John Boitnott is a news anchor at ReadWrite. Boitnott has worked at TV News Anchor, print, radio and Internet companies for 25 years. He’s an advisor at StartupGrind and has written for BusinessInsider, Fortune, NBC, Fast Company, Inc., Entrepreneur and Venturebeat. You can see his latest work on his blog, John Boitnott

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Fintech Kennek raises $12.5M seed round to digitize lending

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London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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