A marketing stunt is not an advertisement. It’s an engine, built to hijack culture, disrupt standard attention patterns and convert earned reach directly into revenue.
We pulled together the 30 stunts that did this best, ranked by cultural penetration, earned media value, viral reach and proven commercial sales conversion. Six frameworks follow, so you can borrow the mechanic without betting the business.
Mr. Kahneman has transformed the fields of economics and investing. He gives his advice for better decision making.
1️⃣ Don’t Trust People, Trust Algorithms.
“Algorithms beat individuals about half the time. And they match individuals about half the time,” Kahneman said. “There are very few examples of people outperforming algorithms in making predictive judgments.
An algorithm is a rule. You can just construct rules.”
And when we can’t use an algorithm, we should train people to simulate one.
“Train people in a way of thinking and in a way of approaching problems that will impose uniformity,” he said.
2️⃣ Take the Broad View.
“The single best advice we have in framing is broad framing,” he said. “See the decision as a member of a class of decisions that you’ll probably have to take.”
3️⃣ Test for Regret.
“Regret is probably the greatest enemy of good decision making in personal finance,” Kahneman said.
“Clients who have regrets will often fire their advisers,” he said.
4️⃣ Seek Out Good Advice.
So who is the ideal adviser? “A person who likes you and doesn’t care about your feelings,” Kahneman said.
Abstract: “We investigate whether an LLM can successfully perform financial statement analysis in a way similar to a professional human analyst.
We provide standardized and anonymous financial statements to GPT4 and instruct the model to analyze them to determine the direction of future earnings.
Even without any narrative or industry- specific information, the LLM outperforms financial analysts in its ability to predict earnings changes. The LLM exhibits a relative advantage over human analysts in situations when the analysts tend to struggle.
Furthermore, we find that the prediction accuracy of the LLM is on par with the performance of a narrowly trained state-of- the-art ML model. LLM prediction does not stem from its training memory. Instead, we find that the LLM generates useful narrative insights about a company’s future performance.
I’m curious to discover what are the real motivations for entrepreneurs to start businesses?
Conventional (and shallow) reasons you get if you search on Google are Money, Flexibility, Control, Teamwork & Legacy from sources like Entrepreneur Media
In emerging markets and pandemics the reason can be simply ‘Necessity’.
Deeper reasons I’m exploring, to find and support entrepreneurs are:
Opportunity, Frustration, Curiosity, Role Models, Vision/Ideal (optimistic possibility)
My tween daughter bought an AC/DC T-shirt before knowing the band or music.
Don’t worry fans, I made sure she had listened to and knew at least one song (Thunderstruck) before leaving the house this morning.
A brand that can be desired for 43 years across 2 generations. There is value in that.
Interestingly/Sadly:
“25-year-old Gerard Huerta created the now-iconic design in April of 1977. He also designed the logo for the album High Voltage.
The record label paid Huerta for a one-time commission for the band’s logo, never indicating that it would be used on a permanent basis.
Huerta has never received royalties for the logo despite it being one of the most recognizable in music, and never hired a lawyer or complained. The band or record label also never contacted him about it, either.
The font design was inspired by the Gutenberg Bible, the first mass-produced movable metal type book in history.”