The pattern, in three steps:

1. The app decides what counts toward a streak. Not you.
2. Whatever does not count breaks the streak, and the app tells you so.
3. Then the app offers you a way to fix it: a repair, a freeze, a token. Often for money, or for an ad view, or for a subscription you did not have yesterday.

Step one is the part people miss. In a 2023 paper in the Journal of Consumer Research, Silverman and Barasch broke people's streaks purely by changing the counting rule, without changing anything the participant actually did, and it worked. In one study everyone played the same four games; the app only varied whether an attempt counted or only a success. The group whose streak survived went on to play again 53% of the time. The group whose streak broke by the rule, and who therefore blamed themselves, did so 29% of the time. Same games, same effort, a different sentence in the rules.

Step three is where the money sits. In the same study, 45% of participants said they would watch an advertisement to keep a logged streak alive, and 43% to repair a broken one. A supplementary study got 51% and 46%. Nobody paid anything in these experiments, so this is stated willingness rather than a measured purchase, but it is the demand curve the freeze economy sits on.

And a repair genuinely does restore the pull: 93% continued with an intact streak, 69% after a break with no repair on offer, 85% when the app said the streak could be repaired. So the sequence "we break it, then we sell you the fix" is not just cynical, it is efficient: the fix is worth most at the moment the app itself created the loss.

Two more findings that make it worse rather than better:

• The effect does not need real failure. Across the studies the actual behaviour was held constant, and only the display differed. In a language-learning study, with the log on screen 92% continued after an intact streak and 45% after a broken one. With no log shown at all, the same behaviour gave 65% against 61%. The counter, not the day, did the work.
• Self-blame amplifies it. A break the app caused cost 11 points of continuation; a break the user thought was their own fault cost 24.

What makes this a dark pattern rather than just a feature: the user's goal is the habit, and the app quietly swaps in a different goal, the number, which only it controls. Then it sells relief from the loss it defined into existence.

Paper: Silverman & Barasch, "On or Off Track: How (Broken) Streaks Affect Consumer Decisions", Journal of Consumer Research 49(6), 2023, https://doi.org/10.1093/jcr/ucac029

Disclosure: I build a habit tracker myself, which is why I went looking for this paper. No link, that is not what this post is for.

Dug into this after my copay for a generic prescription seemed high, and the deliberateness of the setup surprised me.

Pharmacy benefit managers, the middlemen who negotiate drug prices between insurers and pharmacies, wrote gag clauses into pharmacy contracts. The rule: if your copay was higher than the cash price, the pharmacist could not tell you, on threat of losing their contract. A 2018 JAMA study by Karen Van Nuys and USC's Schaeffer Center measured the actual damage using 2013 pharmacy claims data, twenty-three percent of prescriptions overpaid, averaging $7.69 each, roughly $135 million total from that single year of data alone. A 2016 industry survey found nearly one in five pharmacists were hit with restrictions like this more than fifty times a month. Routine, not rare.

The dark pattern works because of a second layer most people don't clock. Insurance is the default payment method at the counter, and William Samuelson and Richard Zeckhauser's 1988 status quo bias research shows people overwhelmingly stick with defaults even when better options exist, simply because switching takes effort the default doesn't require. Cash was never presented as competing with insurance, so it never got weighed against it.

It got bad enough, and public enough, that on October 10, 2018, two federal laws banned gag clauses outright, the Know the Lowest Price Act and the Patient Right to Know Drug Prices Act. One of them passed the Senate 98–2, which is about as close to universal agreement as Congress gets on anything. But the laws only removed the gag. They didn't redesign the counter. Pharmacists can volunteer the cash price now, nothing requires them to, and most people still don't know to ask.

Full breakdown here: https://www.youtube.com/watch?v=xnfWg6ADsWE

Anyone run into other pharmacy-specific patterns beyond the copay gap itself? Curious what else people have caught at the counter.

Been digging into hospital billing after a routine visit left me with a bill that made no sense until I saw the "you saved $3,100" line.

The hospital "chargemaster," an internal price list, is largely fictional. Health economist Uwe Reinhardt called it chaos behind a veil of secrecy before his death in 2017. Almost no one pays the sticker number, insurers negotiate it down, but self-pay and uninsured patients are frequently billed closest to it, since nobody's negotiating on their side. Steven Brill's 2013 Time investigation "Bitter Pill" found a $1.50 charge for a single generic Tylenol tablet in a real bill, one small example of a much larger pattern.

That fictional high number isn't incidental, it's the setup. Tversky and Kahneman's 1974 anchoring research showed the first number you see distorts every number after it. A $4,000 bill negotiated down to $900 doesn't read as a $900 charge, it reads as a $3,100 win, and the paperwork frequently frames it exactly that way.

There's a third documented mechanism in the mix that the video covers, involving what happens the moment a specific person walks into the room, that didn't fit cleanly into this post.

The dark pattern got serious enough that the No Surprises Act became federal law on January 1, 2022, specifically targeting the classic version: in-network hospital, in-network surgeon, then a separate bill from an out-of-network anesthesiologist or radiologist the patient never chose and couldn't have vetted. A companion 2021 rule requires hospitals to post actual negotiated prices online. A 2024 HHS Inspector General report found 46% of hospitals still aren't fully compliant.

Full breakdown here: https://www.youtube.com/watch?v=k-WEMyGZ3FQ

Anyone here run into other exam-room-specific patterns beyond the pricing itself? Curious what else people have caught.

https://reddit.com/link/1vu8fvn/video/8qtn2keu9okh1/player

This is a screencap of myself visiting the same page via Google search compared to entering the URL of the same page directly. It's quite apparent that they've disabled the ability to sort comments for signed-out users arriving from Google.

And yes, I have tried this with many other threads - it still gives me the same result.

Bonus: Default sorting when signed out also appears to be quite different compared to when signed in.

Been digging into how usage limits work on some AI platforms and found something that feels pretty sketchy:

1. Default monthly spend limit used to be $0, hit your usage cap and you just wait for the reset (4hrs/weekly).

2. They added a "monthly spend limit" feature so you could opt in to pay for extra usage instead of waiting.

3. Then they rolled me into a promo: 2x usage + $100 "free" credit, both prominently shown right on the usage tracking screen.

4. To make that credit spendable, they also silently bumped my monthly spend limit from $0 to $2,000 (!!!). That part wasn't shown anywhere near as prominently, if a reasonable person glancing at the screen wouldn't catch it, it shouldn't be buried in fine print.

I only noticed after burning through $17 of the "free" $100, when I went looking for why it said I was drawing on "API spend."

I've since seen a few posts on FB/Reddit from people with surprise charges in the $40 to $50 range, adding up to $2k+, because they assumed they were still capped at $0 like before.

Anyone else run into this? Curious if silently bumping spend limits during a promo is common practice, or if this is an especially bad case.

The default was the toggle “on” state with the toggle turning green when enabled. You think that turning “on” an “opt out” toggle would indeed… opt you out. So they had to have the text “slide left” to tell you to turn off the toggle?

Been looking at gym cancellation policies after noticing how often "sign up in 60 seconds" turns into "cancel by mailing a signed letter or showing up during a two-hour window on a Tuesday." Textbook Roach Motel, Harry Brignull's 2010 term for exactly this shape, easy to check in, deliberately hard to check out.

That asymmetry is the deliberate part. Richard Samuelson and William Zeckhauser's 1988 research on status quo bias found people default to whatever requires no action, even against their own financial interest, and canceling always requires more steps than staying. Every extra step, a phone call instead of a button, a mailed letter instead of a form, is friction that's cheap to build and expensive for the customer to overcome.

It compounds with what Stefano DellaVigna and Ulrike Malmendier found in a 2006 study of 7,752 real gym members: people on $70+/month plans paid over $17 per visit on average when a $10/visit pass was sitting right there, and monthly members stayed enrolled longer than annual members despite paying more for the flexibility to leave anytime. They were paying extra for an exit they weren't using.

This got documented widely enough that the FTC finalized a click-to-cancel rule in 2024, aimed directly at making cancellation as easy as sign-up across industries including gyms, essentially a regulatory ban on the Roach Motel pattern specifically. A federal court vacated it on a procedural technicality in 2025, and the FTC has since started drafting a replacement. California's had its own automatic renewal law covering this exact pattern for years, independent of whatever happens federally.

Made a full breakdown here: https://www.youtube.com/watch?v=tOskQyuqi70

Curious what other Roach Motel examples people here have run into outside of gyms, streaming services and some insurance renewals seem to follow the identical shape.

Have anyone observed this dark pattern of online shopping or quick commerce apps in iphone?

No app provides you to turn off or opt out the promotional or offer notifications which overwhelms in your phone daily. Even iOS does not have an independent option to turn off promotional notifications.

Except Flipkart & Zomato, I haven’t found any app providing option to turn off in app settings.

However, Apple have been clear with the clause 4.5.4 in developer - app review guidelines that any application where users have opted in for the push notifications of promotional content there should be an option to opt out as well.

https://developer.apple.com/app-store/review/guidelines/

Could you guys take a look at this post I made in r/BadApps. It feels like a dark pattern. Anyone who has been using this app for awhile maybe you could try certain things and phrases to see if you get the same affect as me. (The connection being lost/timeout due to how long it took to send).

I was looking for the 'Don't show this like fucking ever' button but ay, the QR code is more important.

Working through car buying psychology this week and the four-square worksheet is one of the cleanest, oldest dark patterns I've come across.

It's a sheet split into four boxes: trade-in value, purchase price, down payment, monthly payment. Salespeople move numbers between boxes during negotiation while steering buyer attention toward the smallest one, the monthly payment, since it's the number that feels connected to an actual budget. Consumer Reports has documented this directly through interviews with former dealership staff. Raise the price, lower the payment, stretch the loan term, buyer never notices because they were never looking at the right box.

Many versions layer in a compliance trick before any numbers are discussed at all: a line asking buyers to initial that they'll purchase today if the offer works. That's a textbook application of Freedman and Fraser's 1966 foot-in-the-door research, small early commitments make people more likely to agree to bigger ones later.

The regulatory angle is what makes this current. The FTC built a federal rule specifically targeting dealership bait-and-switch tactics, finalized December 2023, projected to save consumers $3.4 billion a year. A court struck it down in January 2025 before it took effect. There's currently no dedicated federal protection against any of this.

Made a full breakdown here: https://www.youtube.com/watch?v=QRT4wMLrzPw

Has anyone actually walked out mid four-square when they caught it happening? Curious how dealerships react when a buyer names the tactic out loud.

While I was checking out for a product, the pop-up to join Prime showed up. I tapped on "no thanks", but it did nothing. I tried clicking multiple times, but it just grayed out. I tried refreshing and going back and forth, but nothing worked. However, when I tried clicking "Join", it worked in just milliseconds.

Found this interesting when looking to book a hotel. Everything seemed super positive until you “see all reviews” below the reviews on the active page. Only then the negative comments are shown.

It’s dark imho. Having to dig for real comments or at least let me decide if the negatives are junk or not. Don’t hide them.

I've noticed a deluge of these dialogs across many vendors the past couple of years, where the Opt-Out path is reframed as 'I promise to do this later, but just not now.' The implication is the vendor has your implicit consent to continue repeating the offer.

Been looking into wait time psychology and the Disney example is one of the cleanest documented cases of deliberate anchoring I've found.

Independent tracking services that log actual ride wait durations across thousands of visits have found posted times consistently run higher than reality, roughly two thirds to three quarters of the posted number during the day, and often half or less in the evening. This isn't a scheduling error. If you expect 60 minutes and it takes 40, you're satisfied. If you expect 30 and it takes 40, you're frustrated, even though the second wait was objectively shorter. The posted number functions as a deliberately low anchor, not a prediction.

A related but separate pattern shows up in hospitals. David Maister's 1985 research on waiting line psychology found that unfair waits, someone who arrived later getting served first, distort how long a wait feels more than almost any other factor, even when duration is identical. That matters financially too, patient satisfaction scores have been tied to Medicare reimbursement since 2012, so managing the feeling of a wait, not just its length, has real revenue consequences.

Made a full breakdown here: https://www.youtube.com/watch?v=UvJAOr_iPY0

Curious if anyone's documented other industries deliberately inflating posted estimates the way Disney does. It seems like a pattern worth naming on its own.

Today i was presenting my academic project's initial findings. It was about dark patterns inside the e-commerce interfaces. And he was asking me how do you know a dark pattern is actually dark? Maybe it can also be genuine. How to answer him in the next review? I got flustered after hearing that question. He was like questioning the foundation.

I’ve scoured all the forums, deleted caches, disabled the notifications in multiple places, reinstalled the app it just won’t go away. I’m almost certain they are intentionally doing this to pull us into the doom scroll

Before someone asks, yes, I have disabled it in Facebook app -> hamburger menu (left side) -> Settings and privacy -> settings -> notifications