A Registered Portfolio Manager Sorts Finance TikTok Into Naughty and Nice
The Plain Bagel's Richard Coffin has turned his holiday-themed TikTok review into something of an annual tradition, donning a Santa costume to sort viral financial advice into "naughty" and "nice" categories. Beneath the seasonal theatrics, though, Coffin delivers one of the more thoughtful critiques of the financial influencer ecosystem available on YouTube. The format works precisely because it lets him address specific claims with the specificity they deserve, rather than hand-waving about "bad advice on the internet."
The Myth of the Obvious Winner
The first TikTok under review makes a claim that has become ubiquitous in finance content: that the current AI boom is a once-in-a-lifetime opportunity, comparable to buying Amazon stock in the 1990s. The creator insists that just fifteen minutes of reading could turn a $5,000 investment into $220,000. Coffin's response cuts through the survivorship bias with surgical precision.
When it comes specifically to technological revolutions like AI, there's a lot of research that seems to suggest they don't actually tend to be that great of a return source for investors. Tends to be a lot of attrition in terms of failed companies and investors lose a lot of money basically fund the revolution with their losses to an extent.
This is a point that deserves more attention than it typically receives. The narrative around AI investing borrows heavily from the dot-com era, but conveniently omits what happened to most dot-com investors. Companies like Netscape and theGlobe.com were perceived as category leaders before they collapsed. Coffin notes that the United States currently has roughly 500 AI unicorns valued at over one billion dollars each. The arithmetic alone should give pause: there is simply not enough market demand for all of them to succeed. The person who bought Amazon in 1997 looks like a genius today, but for every Amazon, dozens of seemingly promising companies evaporated entirely.
Ask yourself, how many people do you know who did get rich by just buying Amazon? And if the answer is not that many, well, that kind of demonstrates how likely it is to be making those sort of bets.
A counterpoint worth considering: broad index fund exposure to the technology sector has historically rewarded patient investors without requiring them to pick individual winners. The real danger in this TikTok is not the suggestion to invest in AI-related companies, but the implication that stock-picking is easy and that massive returns are practically guaranteed with minimal effort.
Trust Funds, Life Insurance, and Financial Alchemy
The most egregious clip in the lineup features a creator claiming that anyone can open a trust fund, place a life insurance policy inside it, borrow against the policy's value, and use the proceeds to buy businesses and achieve financial freedom. The creator claims this can generate $50,000 per month, a figure that appears to have been conjured from thin air.
Coffin methodically dismantles each link in this chain of reasoning. Trusts are expensive to establish and maintain. A life insurance policy's borrowable cash value does not equal its face value. And the borrowing arrangement the creator describes is essentially just taking a loan from an insurance company at interest.
Wealthy people don't use whole life policies to get rich. They are rich and then look to use whole life policies for estate or tax planning, but that's it. It's not some secret tool for going from zero to $50,000 a month.
This particular brand of misinformation is especially corrosive because it reverses the causal arrow. Wealthy individuals use complex financial instruments because they have wealth to protect and optimize. The instruments did not create the wealth. It is the financial equivalent of noticing that marathon runners wear expensive shoes and concluding that buying the shoes will make someone a marathoner.
The creator also reveals at the end of the clip that the information comes from a book linked in their bio, a detail Coffin flags but does not belabor. The commercial incentive speaks for itself.
The Psychology Dodge
Another creator claims that trading is guaranteed to work for everyone and that the only reason people fail is psychological: lack of discipline, motivation, and consistency. Coffin acknowledges that behavioral economics is a legitimate field and that psychology does affect investment returns, citing the well-known Dalbar studies showing that most equity investors underperform the market due to behavioral mistakes rather than strategy failures.
But he identifies the sleight of hand at work. If trading courses and patterns are as simple and mechanical as their sellers claim, psychology should be largely irrelevant. Following a mechanical rule requires no emotional fortitude.
If I see a stock drop below a resistance line, if the pattern is as simple as they highlight, then there's not much emotion to be had, right? Because I'm just following the steps you told me to follow.
Coffin then conducts a quick search of top trading videos on TikTok and finds that five out of five are selling courses, subscriptions, or affiliate products. The "psychology is the hard part" framing serves a specific commercial purpose: it pre-empts the inevitable complaints from customers who lose money. If the system fails, the blame shifts to the user's mindset rather than the product.
Penny Stocks and AI-Generated Deception
Perhaps the most alarming segment involves a creator promoting a Canadian micro-cap energy stock called Altea Energy. Coffin discovers on-screen that the company has a ceased trade order and is in default. The creator is actively promoting a stock that regulators have effectively frozen.
What makes this segment particularly noteworthy is Coffin's realization, mid-review, that one of the financial advice videos he watched was generated entirely by AI. The implications are stark: if AI-generated content can fool a registered portfolio manager, even briefly, ordinary viewers are at a significant disadvantage.
That kind of leads me to wonder if the companies behind this type of content. Honestly, it wouldn't surprise me at this point. Like there's a lot of really nefarious and sketchy marketing happening with really small companies and just very little regulatory action going against it.
The convergence of AI-generated video, micro-cap stock promotion, and minimal regulatory enforcement represents a genuinely new threat in the financial misinformation landscape. It is no longer sufficient to evaluate whether a human creator seems trustworthy; the creator may not even be human.
What Earns the Nice List
Coffin does find content worth endorsing. A TikTok about custodial brokerage accounts for young investors earns praise for its accuracy, though Coffin adds appropriate caveats about tax implications and notes his preference for children focusing on education over investment. A creator sharing the "pay yourself first" budgeting strategy also lands on the nice list. Coffin appreciates the emphasis on automation, arguing that reducing the number of active financial decisions people need to make is one of the most effective strategies for long-term wealth building.
People only have a certain amount of mental bandwidth for dealing with all of life's stresses, and as that mental bandwidth gets taken up from other stuff, it can be hard to dedicate mental efforts towards your finances and your budgeting.
This observation, grounded in behavioral economics, applies far beyond budgeting. It explains why even financially literate people make poor decisions under stress, and why systemic solutions consistently outperform willpower-based ones.
Bottom Line
The Plain Bagel's naughty-and-nice format is effective because it does something rare in financial commentary: it evaluates specific claims rather than issuing vague warnings about "doing your own research." Coffin brings genuine professional credentials to bear on content that most credentialed professionals simply ignore. The recurring theme across every naughty-listed TikTok is the same: a misrepresentation of how wealth is actually built, designed to sell a product or drive engagement. The nice-listed content, by contrast, is modest in its claims and focused on process over outcomes. For anyone navigating the flood of financial advice on social media, that distinction between promised outcomes and sound process remains the single most reliable filter available.