9to5Mac59%

Your personal data is for sale: here is how to take it off the internet 93%

By Sponsored Post0%

7/18/2026, 4:00:00 PM

BS Summary: This article contains 31 faulty reasoning types, including Hasty Generalization, Ambiguity (Equivocation), and Appeal to Emotion, with Attempt to Sell a Product or Service as the most egregious example at 56.6% saturation with 432 hits. Analysis detected 2,519 faulty-reasoning hits from 763 analyzed words, generating a BS Score of 88.6% and a BS Rank of 93% (1,500 of 21,175 articles). This article is worse (more manipulative) than 92.90% of the article peer group.

If you could go back to the early days of the internet, would you handle your privacy differently? 
Most of us would. 
We would be more cautious about the services we joined and the information we shared. 
Since a time machine is not an option, we have to deal with the reality of the present. 
Your personal data is currently available and for sale at this very moment. 
Right now, your phone number, email address, home address, and even your family connections are being packaged and sold to marketers, insurers, and hackers. 
While Apple’s privacy protections in Safari and Mail help block some tracking as you browse the web, they cannot undo years of information already scraped and spread across hundreds of broker databases. 
Data brokers have built a multi-billion-dollar industry by collecting your digital data, packaging it, and selling it. 
It’s time to take your personal information off the market and off the internet. 
Let’s look at how. 
The security risks of data brokerage 
The danger goes far beyond annoying spam calls, though. 
When your information is everywhere, you become a low-hanging fruit for sophisticated cyber threats. 
Because the industry is largely unregulated, your most private information and details, including past employment and where you have lived, previous loans, etc are readily available for purchase. 
This creates a massive security liability. 
Modern scammers use the information brokers’ data to harvest and craft highly personalized (and hard to spot) phishing attacks. 
When a scammer already knows your job title, where you’ve lived, or the names of your coworkers/friends, they can easily bypass your natural defenses. 
If a scammer knows a lot about you, they have a great chance of accomplishing their goal if they catch you at the wrong time. 
For those concerned about their physical security, these sites and brokers serve as public, searchable databases for stalkers and harassers. 
By mapping connections between your relatives and neighbors, brokers provide a blueprint for locating individuals who are intentionally trying to stay private and hidden. 
How to solve the problem: automated data removal with Incogni 
The scale of this ecosystem is staggering and frankly depressing. 
Manually requesting the removal of your data from hundreds of these sites is a full-time job with near-zero success rates because these brokers would go out of business if it were easy to do. 
What you need is a solution that knows the ins and outs of this industry and how to win back your right to privacy 
This is where a service like Incogni becomes critical to your life, both in the digital and physical worlds. 
This service turns a massive problem for you (your data being everywhere, and for sale) into a solved problem with a turn-key approach . 
Instead of you spending months hunting down data brokers, Incogni automates the repetitive, bureaucratic back-and-forth of opt-out requests on your behalf. 
They ensure that your data is not removed just once, but stays removed as brokers inevitably attempt to re-scrape it and re-ingest it. 
Incogni’s comprehensive dashboard lets you track the progress of your personal data deletion in real time, including: 
How many databases potentially contain your information 
Removal requests that are being sent on your behalf. 
Completed removals and ongoing remediation. 
Real benefits of data removal for privacy-focused people 
Getting scrubbed from internet broker databases delivers immediate results for you and your family 
Fewer scam calls and spam texts when companies can’t buy your number. 
Scammers lose their lead. Identity thieves often source victim information from broker sites. 
Your personal address stays private, and stalkers and harassers can’t easily find where you live. 
Your credit score stays healthy, as limited data exposure reduces the risk of identity theft and strengthens your overall financial health. 
Exclusive pricing for 9to5Mac readers 
By being proactive about scrubbing your digital footprint, you move from being a convenient target to an unprofitable one. 
Because this problem affects everyone, scammers and bad actors will go to the easiest targets first, and those are the ones with the most data available. 
9to5Mac readers are privacy-focused and can lock in substantial savings on Incogni subscriptions using the link below. 
You are one click away from taking back control of your privacy for you and your family. 
Special 9to5Mac reader pricing: 
Monthly Standard: $16.58 
Monthly Family: $32.98 
Annual Standard: $99.48 
Annual Family: $197.88 
Annual Standard Unlimited: $179.99 
Annual Family Unlimited: $359.88 
Use discount code 9TO5MAC at checkout for these exclusive rates. 
Get started at Incogni’s website, and your future self will thank you. 
Article reasoning-pattern comparisonThis article: 3.1%Sponsored Post: 0.8%9to5Mac: 2.6%Confirmation Bias3.1%This article: 1.3%Sponsored Post: 2.0%9to5Mac: 2.2%Anchoring Bias1.3%This article: 14.0%Sponsored Post: 14.1%9to5Mac: 2.8%Availability Heuristic14.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 1.0%Representativeness Heuristic0.0%This article: 2.0%Sponsored Post: 2.8%9to5Mac: 0.4%Hindsight Bias2.0%This article: 17.2%Sponsored Post: 10.5%9to5Mac: 2.9%Overconfidence Bias17.2%This article: 7.5%Sponsored Post: 13.6%9to5Mac: 5.2%Framing Effect7.5%This article: 11.7%Sponsored Post: 3.8%9to5Mac: 1.3%Loss Aversion11.7%This article: 2.4%Sponsored Post: 0.6%9to5Mac: 0.7%Status Quo Bias2.4%This article: 2.8%Sponsored Post: 0.7%9to5Mac: 0.1%Sunk Cost Effect2.8%This article: 16.6%Sponsored Post: 7.9%9to5Mac: 3.5%Optimism Bias16.6%This article: 12.7%Sponsored Post: 4.7%9to5Mac: 1.9%Pessimism Bias12.7%This article: 19.4%Sponsored Post: 8.5%9to5Mac: 4.5%Negativity Bias19.4%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.6%Self-Serving Bias0.0%This article: 3.7%Sponsored Post: 0.9%9to5Mac: 0.4%Fundamental Attribution Error3.7%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Actor-Observer Bias0.0%This article: 5.0%Sponsored Post: 2.4%9to5Mac: 0.4%In-Group Bias5.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Out-Group Homogeneity Bias0.0%This article: 6.7%Sponsored Post: 5.3%9to5Mac: 3.5%Halo Effect6.7%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Horn Effect0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Dunning-Kruger Effect0.0%This article: 1.6%Sponsored Post: 0.4%9to5Mac: 1.8%Recency Bias1.6%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.4%Primacy Effect0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Ad Hominem0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Straw Man0.0%This article: 2.2%Sponsored Post: 0.6%9to5Mac: 3.6%Appeal to Authority2.2%This article: 13.1%Sponsored Post: 4.7%9to5Mac: 1.3%False Dilemma13.1%This article: 7.5%Sponsored Post: 3.0%9to5Mac: 0.5%Slippery Slope7.5%This article: 3.1%Sponsored Post: 0.8%9to5Mac: 0.2%Circular Reasoning3.1%This article: 32.5%Sponsored Post: 17.7%9to5Mac: 4.9%Hasty Generalization32.5%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Red Herring0.0%This article: 0.5%Sponsored Post: 0.1%9to5Mac: 0.9%Bandwagon0.5%This article: 21.5%Sponsored Post: 9.8%9to5Mac: 2.2%Appeal to Emotion21.5%This article: 4.8%Sponsored Post: 1.2%9to5Mac: 0.5%Begging the Question4.8%This article: 11.5%Sponsored Post: 3.6%9to5Mac: 1.8%Post Hoc (False Cause)11.5%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Tu Quoque0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.4%Burden of Proof0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Appeal to Nature0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Composition/Division0.0%This article: 2.4%Sponsored Post: 0.6%9to5Mac: 2.4%Anecdotal2.4%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%No True Scotsman0.0%This article: 25.3%Sponsored Post: 6.4%9to5Mac: 1.9%Ambiguity (Equivocation)25.3%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Middle Ground0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Personal Incredulity0.0%This article: 4.5%Sponsored Post: 1.1%9to5Mac: 0.2%Special Pleading4.5%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.1%Genetic Fallacy0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 2.3%Unattributed Quote0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.4%Quote-first Misdirection0.0%This article: 6.6%Sponsored Post: 5.3%9to5Mac: 6.1%Biased Writer Voice6.6%This article: 10.5%Sponsored Post: 7.0%9to5Mac: 2.1%Indoctrination10.5%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Sponsored Post: 0.0%9to5Mac: 0.0%Politically Right Leaning Bias0.0%This article: 56.6%Sponsored Post: 48.0%9to5Mac: 16.0%Attempt to Sell a Product or S…56.6%

763 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

Loading…
Loading…
Loading…

Analysis

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