Serena Williams back in Wimbledon white! Tennis legend limbers up for her SW19 comeback, aged 44, after losing two and a half stone on weight-loss jabs 48%

By TAMARA PRENN0% SENIOR SPORTS REPORTER0%

6/24/2026, 2:18:22 PM

BS Summary: This article contains 26 faulty reasoning types, including Negativity Bias, Framing Effect, and Availability Heuristic, with Biased Writer Voice as the most egregious example at 38.7% saturation with 292 hits. Analysis detected 1,916 faulty-reasoning hits from 754 analyzed words, generating a BS Score of 49.1% and a BS Rank of 48% (11,482 of 21,887 articles). This article is better (less manipulative) than 52.50% of the article peer group.

Serena Williams refused to let a scorching heatwave keep her from Wimbledon's Aorangi Park practice courts as the 23-time Grand Slam champion prepares for her highly anticipated return to the Championships' main draw next week. 
The 44-year-old tennis icon accepted the tournament's final wildcard last week, and is set to return to SW19 for the first time in four years - and after having publicly stepped away from the sport at the 2022 US Open. 
Since announcing her return last month, Williams has only played two doubles matches, but has been a frequent fixture at Aorangi in a bid to tune up ahead of returning to singles action. 
This week has seen her practice with former world No 3 Maria Sakkari, and cross paths with fellow Grand Slam winners including Stan Wawrinka and Novak Djokovic. 
Her arrival at the tournament is arguably the most high profile of all of the tournament's big-name competitors, with even her compatriot Ben Shelton pausing his own preparations to watch her hitting session with Sakkari on Tuesday. 
On Wednesday amid 33-degree-Celsius temperatures, Williams was the picture of focus as she trained with her coaches Jarmere Jenkins and Rennae Stubbs, and her Wigan-born hitting partner David Quayle. 
Quayle has been part of her set-up since May, when he flew to Florida as part of secret preparations for her shock entry into Queen's as rising star Victoria Mboko's doubles partner. 
Williams has looked in fine form since her return to grass on the practice courts, but a question mark remains over one detail of her preparation - whether Williams has continued to use GLP-1 jabs managed by telehealth company Ro, of which she became a vocal paid spokesperson for last year. 
The seven-time Wimbledon champion's husband Alexis Ohanian sits on the company's board and was an early investor. 
As recently as this February Williams, the company's celebrity face, featured in a Super Bowl advert for the brand and its Zepbound tirzepatide jab, which is also marketed under the name Mounjaro. 
Williams, who is said to have lost close to two and a half stone, or 34 pounds (15kg) using the drug, previously called her challenge to lose weight following the birth of her two children 'the one opponent (she) couldn't beat'. 
It remains unclear as to whether Williams has continued to use the drug, which also treats symptoms of diabetes, with her publicist declining to comment when asked by the Atlantic. 
But although GLP-1s are not banned by the World Anti-Doping Agency (WADA), they are one of the drugs under ongoing investigation as to whether they might be classed as performance-enhancing in the future. 
Although Williams would be the first athlete to publicly use a GLP-1 if she was still using Zepbound, tennis has an existing relationship with weight-loss jabs, with semaglutide Ozempic a surprising sponsor at last year's Canadian Open. 
Speaking to Professor Olivier Rabin, WADA's head of science, Daily Mail Sport learned that the organisation's study into the GLP-1s was extended in 2026. 
'The WADA List Expert Advisory Group has discussed their status, as well as other substances of the same class,' the statement shared with the Athletic from the agency in June read. 
'Semaglutide and tirzepatide were added to the Monitoring Program to track patterns of use in sports in and out of competition. 
The Monitoring Program includes substances which are not on the Prohibited List, but that WADA wishes to monitor in order to detect potential patterns of misuse in sport.' 
But as much as the weight-loss jabs can work as advertised and see users lose a significant amount, there can be troublesome side effects, including dizziness, nausea, vomiting, and diarrhoea. 
'Looking at the side effects, they may outweigh the benefits, if I may use this pun,' Professor Rabin told Daily Mail Sport in September 2025. 
Williams will learn her draw for next week's tournament on the weekend, as well as her opponents when she teams up with her former partner - and sister - Venus for doubles action. 
But her ability to get a feel for live points on grass has been stymied somewhat since her comeback, with Mboko suffering an injury during a singles match at Queen's which forced their withdrawal ahead of the second round. 
After partnering with Karolina Muchova to take part in the doubles in Berlin, Williams was defeated in straight sets in the first round. 
Article reasoning-pattern comparisonThis article: 4.2%TAMARA PRENN: 2.7%Daily Mail: 3.7%Confirmation Bias4.2%This article: 2.7%TAMARA PRENN: 0.7%Daily Mail: 1.0%Anchoring Bias2.7%This article: 12.6%TAMARA PRENN: 4.2%Daily Mail: 3.5%Availability Heuristic12.6%This article: 7.6%TAMARA PRENN: 1.9%Daily Mail: 0.9%Representativeness Heuristic7.6%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.8%Hindsight Bias0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 1.8%Overconfidence Bias0.0%This article: 16.4%TAMARA PRENN: 17.0%Daily Mail: 9.1%Framing Effect16.4%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.3%Loss Aversion0.0%This article: 10.2%TAMARA PRENN: 2.6%Daily Mail: 0.4%Status Quo Bias10.2%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.1%Sunk Cost Effect0.0%This article: 5.2%TAMARA PRENN: 1.3%Daily Mail: 2.3%Optimism Bias5.2%This article: 8.4%TAMARA PRENN: 2.1%Daily Mail: 1.2%Pessimism Bias8.4%This article: 24.3%TAMARA PRENN: 13.5%Daily Mail: 12.8%Negativity Bias24.3%This article: 7.7%TAMARA PRENN: 1.9%Daily Mail: 2.0%Self-Serving Bias7.7%This article: 2.3%TAMARA PRENN: 0.6%Daily Mail: 1.2%Fundamental Attribution Error2.3%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.2%Actor-Observer Bias0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 1.2%In-Group Bias0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.9%Out-Group Homogeneity Bias0.0%This article: 12.3%TAMARA PRENN: 8.3%Daily Mail: 4.6%Halo Effect12.3%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.5%Horn Effect0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.0%Dunning-Kruger Effect0.0%This article: 10.5%TAMARA PRENN: 2.6%Daily Mail: 1.6%Recency Bias10.5%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.5%Primacy Effect0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.0%Blind-Spot Bias0.0%This article: 6.5%TAMARA PRENN: 1.6%Daily Mail: 1.7%Ad Hominem6.5%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.2%Straw Man0.0%This article: 10.6%TAMARA PRENN: 2.7%Daily Mail: 4.0%Appeal to Authority10.6%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 1.1%False Dilemma0.0%This article: 0.0%TAMARA PRENN: 1.1%Daily Mail: 0.8%Slippery Slope0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.1%Circular Reasoning0.0%This article: 7.4%TAMARA PRENN: 4.3%Daily Mail: 4.3%Hasty Generalization7.4%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.6%Red Herring0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.8%Bandwagon0.0%This article: 4.2%TAMARA PRENN: 1.1%Daily Mail: 7.6%Appeal to Emotion4.2%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.6%Begging the Question0.0%This article: 7.8%TAMARA PRENN: 2.0%Daily Mail: 2.7%Post Hoc (False Cause)7.8%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.2%Tu Quoque0.0%This article: 3.7%TAMARA PRENN: 0.9%Daily Mail: 0.6%Burden of Proof3.7%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.1%Appeal to Nature0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.1%Composition/Division0.0%This article: 10.3%TAMARA PRENN: 2.6%Daily Mail: 3.1%Anecdotal10.3%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.1%No True Scotsman0.0%This article: 6.8%TAMARA PRENN: 1.7%Daily Mail: 1.5%Ambiguity (Equivocation)6.8%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.0%Gambler’s Fallacy0.0%This article: 4.9%TAMARA PRENN: 1.2%Daily Mail: 0.0%Middle Ground4.9%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.1%Personal Incredulity0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.1%Special Pleading0.0%This article: 0.0%TAMARA PRENN: 0.6%Daily Mail: 0.2%Genetic Fallacy0.0%This article: 8.2%TAMARA PRENN: 2.1%Daily Mail: 3.8%Unattributed Quote8.2%This article: 9.5%TAMARA PRENN: 3.4%Daily Mail: 1.7%Quote-first Misdirection9.5%This article: 38.7%TAMARA PRENN: 16.8%Daily Mail: 9.2%Biased Writer Voice38.7%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.8%Indoctrination0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%TAMARA PRENN: 0.0%Daily Mail: 0.6%Politically Right Leaning Bias0.0%This article: 11.0%TAMARA PRENN: 7.5%Daily Mail: 1.0%Attempt to Sell a Product or S…11.0%

754 words analyzed.

Speakers

3speakers16%attributed speech632writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 100.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 35 words • 100.0% coverageWriter's voice • 40 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 37 words • 100.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 51 words • 100.0% coverageAlexis Ohanian • 17 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 41 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWorld Anti-Doping Agency • 31 words • 100.0% coverageWorld Anti-Doping Agency • 21 words • 0.0% coverageWorld Anti-Doping Agency • 28 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageProfessor Olivier Rabin • 25 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverage
Selected voice

Alexis Ohanian

100%flagged-word coverage
17 attributed words14% of attributed speech100% writer coverage
0%50.0%100.0%Biased Writer Voice+60.4 ptsWriter: 39.6%Alexis Ohanian: 100.0%100.0%Attempt to Sell a Product -13.1 ptsWriter: 13.1%Alexis Ohanian: 0.0%0.0%Unattributed Quote-9.8 ptsWriter: 9.8%Alexis Ohanian: 0.0%0.0%Quote-first Misdirection-6.5 ptsWriter: 6.5%Alexis Ohanian: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.