diff --git a/main.go b/main.go index 40e8a38..58148aa 100644 --- a/main.go +++ b/main.go @@ -31,6 +31,8 @@ func Portfolio(w http.ResponseWriter, r *http.Request) { http.ServeFile(w, r, "./static/portfolio.html") } func Infra(w http.ResponseWriter, r *http.Request) { http.ServeFile(w, r, "./static/infra.html") } +func Finance(w http.ResponseWriter, r *http.Request) { http.ServeFile(w, r, "./static/finance.html") } +func Cinema(w http.ResponseWriter, r *http.Request) { http.ServeFile(w, r, "./static/cinema.html") } func Cyber(w http.ResponseWriter, r *http.Request) { http.ServeFile(w, r, "./static/cyber.html") } func About(w http.ResponseWriter, r *http.Request) { http.ServeFile(w, r, "./static/about.html") } func GitPage(w http.ResponseWriter, r *http.Request) { http.ServeFile(w, r, "./static/gitpage.html") } @@ -99,6 +101,8 @@ func main() { http.HandleFunc("/", About) //http.HandleFunc("/portfolio", Portfolio) http.HandleFunc("/infra", Infra) + http.HandleFunc("/finance", Finance) + http.HandleFunc("/cinema", Cinema) http.HandleFunc("/cyber", Cyber) //http.HandleFunc("/gitpage", GitPage) //http.HandleFunc("/gitpage/TicTacToe", GitPageTicTacToe) diff --git a/site b/site new file mode 100755 index 0000000..efe2a15 Binary files /dev/null and b/site differ diff --git a/static/about.html b/static/about.html index 16decb1..4c86faa 100644 --- a/static/about.html +++ b/static/about.html @@ -20,8 +20,11 @@

//Opinion

+ Cinema + Finance cyber infra +
diff --git a/static/cinema.html b/static/cinema.html new file mode 100644 index 0000000..877757a --- /dev/null +++ b/static/cinema.html @@ -0,0 +1,383 @@ + + + + + + The Industry That Ate Itself - Samantha Vero Friis + + + + +
+
+ ← back +

// opinion

+

The Industry
That Ate
Itself

+ +
+ +
+

+ Cinema is not dying because audiences stopped caring about + film. It is dying because the people running it stopped + making decisions that could produce anything worth caring + about. That is a business problem, not a cultural one - and + it has a clear and traceable cause. +

+ +

How You Optimize a Creative Industry to Death

+ +

+ Every major studio is ultimately answerable to capital. That + is not unusual - most industries are. What is unusual about + film is that capital and creative quality are in unusually + direct tension. A film that takes a genuine risk might return + ten times its budget or nothing. A sequel to an established + property will almost certainly return two or three times its + budget, reliably, with predictable variance. For a public + company managing quarterly earnings, the choice is not + difficult. You make the sequel. +

+ +

+ The problem is that this logic, applied consistently across + an entire industry over twenty years, does not produce a + stable business. It produces a slow erosion of the thing + that made the business worth having in the first place. + Audiences do not go to cinemas to see sequels to sequels. + They go because occasionally something extraordinary happens + on a screen and they want to be in the room when it does. + Strip out the extraordinary, and you have stripped out the + reason to show up. +

+ +

The Franchise as a Business Model

+ +

+ The Matrix is a precise case study because the original + trilogy was, by design, a complete thing. Three films with + a beginning, a middle, and an ending. The story resolved. + The characters finished where they were going. Whatever + criticisms one might make of Reloaded or Revolutions, the + trilogy had the structural integrity of something that knew + it was going to end. That is increasingly rare, and it + matters - because an ending is what separates a story from + a content pipeline. +

+ +

+ The correct response to owning the Matrix IP after the + trilogy was either to leave it alone or to build something + genuinely new inside the same universe. The world the + Wachowskis constructed is large enough. New characters, a + different era, a different corner of the machine war, a + different question about the nature of the simulation - any + of these could have been the basis for something that + respected the original while standing on its own. A current + audience does not need Neo. It needs a new conflict with + real stakes and a story it has not already seen. +

+ +

+ What Warner Bros. produced instead was The Matrix + Resurrections in 2021 - eighteen years after the trilogy + ended - with the same lead actors, the same Agent Smith, + and a plot that literally resurrects the characters the + previous films had concluded. The decision to bring back + the same faces was not a creative one. It was a calculation + that name recognition and nostalgia would lower the + perceived risk of the investment. The studio did not believe + in the universe. It believed in the brand. The audience + noticed. The film failed - not because the Matrix concept + is exhausted, but because the film offered nothing except + proof that the people making it were not willing to find + out whether it could work without a safety net. +

+ +

+ Star Wars industrialised this dynamic at a scale that was + previously unimaginable. The acquisition of Lucasfilm was + not a creative decision - it was a content library acquisition. + What followed was the systematic conversion of a mythology + that had genuine cultural weight into a production pipeline. + Films, series, spin-offs, prequels, sequels, all released + on a cadence driven by release windows and subscriber targets + rather than by whether anyone had something worth saying. + The audience eventually signalled, clearly, that it was + exhausted. The response was not to slow down - it was to + try different combinations of the same components. +

+ +
+ A franchise is not a creative decision.
+ It is a risk management strategy dressed as one. +
+ +

Marvel and the Pipeline Fallacy

+ +

+ The Marvel Cinematic Universe is the most important case + study in modern film economics because it succeeded + spectacularly for long enough that the people running it + drew the wrong conclusion from their own success. From Iron + Man in 2008 through to Endgame in 2019, the MCU produced + something genuinely unusual: a connected series of films + that were, individually, mostly good, and collectively + something audiences had never experienced before. The + shared universe worked. Characters crossed over. Threads + built across years. When it paid off, it paid off at a + scale that reshaped the entire industry's assumptions about + what a film could be. +

+ +

+ The mistake was in identifying why it worked. The shared + universe was not the product. It was the reward for the + product. Audiences invested in the connections between + films because the films themselves had earned that + investment. Iron Man was a good film. The Winter Soldier + was a good film. Guardians of the Galaxy was a good film. + Each one worked as a standalone experience, which meant + that when they intersected, the intersection meant + something. The connective tissue had weight because the + individual pieces had weight. +

+ +

+ What Marvel - and Disney, which had acquired it - took + from this was a different lesson: that the pipeline itself + was the asset. That releasing four films and multiple + Disney+ series per year, all tagged as MCU content, would + sustain audience engagement indefinitely because the brand + had accumulated enough goodwill to carry anything attached + to it. This is a category error. Goodwill is not a + renewable resource. It is the residue of past quality, + and it depletes every time it is spent on something that + does not deserve it. +

+ +

+ The post-Endgame MCU inherited an audience that had spent + eleven years being rewarded for paying attention. What it + offered in return was volume. Films that were + competently assembled but existed primarily to move pieces + into position for the next film. Disney+ series that were + mandatory viewing if you wanted to understand the cinema + releases, effectively converting a leisure choice into + homework. Characters introduced and abandoned. Storylines + launched and quietly dropped. The shared universe, which + had once been the payoff for engagement, became the reason + engagement was required just to follow along. The audience + began to disengage - not because superhero films stopped + being possible, but because the implicit contract had been + broken. The pipeline had forgotten that it was dependent + on the films being good, not merely connected. +

+ +

+ Streaming did not fix this dynamic. It accelerated it and + added a new and more corrosive incentive on top: subscriber + acquisition. A studio making theatrical films needs a film + to be good enough that people will pay to see it. A streaming + platform needs content to exist in sufficient volume and + variety that enough different people will start a subscription + and not cancel it. These are genuinely different problems, + and the second one does not require quality - it requires + surface area. +

+ +

+ Altered Carbon is a personal example of what this looks + like from the other side. The first season was genuinely + good - ambitious production design, a coherent adaptation + of its source material, the kind of science fiction that + takes its own premise seriously. I liked it. I kept + watching. I was exactly the subscriber Netflix should want + to retain. The show was cancelled after two seasons + regardless, and I eventually cancelled the subscription. + Those two facts are more connected than they might appear. +

+ +

+ The issue is not that Netflix made a bad decision by its + own logic. The issue is what its logic measures. A + subscriber who genuinely loves three or four ambitious + series and watches them carefully registers identically to + a subscriber who half-watches twenty shows and never + finishes any of them - as long as both keep paying. The + metric that matters is new sign-ups, because that is what + the market rewards. Retention of engaged viewers who care + about specific content is a secondary concern at best. + Cancelling Altered Carbon did not cost Netflix the number + it was optimizing for. It cost them me - eventually - and + I was never the unit being counted. +

+ +

+ What this produces is a library optimized not for quality + or loyalty but for the minimum threshold of good enough to + keep someone paying while the next acquisition drives new + sign-ups. The service does not need you to love it. It + needs you to not quite hate it enough to cancel. That is a + meaningful distinction. A library built around that + incentive looks very different from one built around making + things worth watching - and over time, the difference + becomes visible. +

+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ModelPrimary incentiveWhat it produces
Theatrical studio + Maximise opening weekend and franchise + extension potential + + IP acquisitions, sequels, safe casting, + risk-averse greenlight decisions +
Streaming platform + Subscriber acquisition and retention + across the broadest possible audience + + High volume, uneven quality, early + cancellations, content churn +
Franchise extension + Extract value from an established + property at minimal creative cost + + Diminishing quality per instalment, + audience fatigue, brand erosion +
AI-assisted production + Reduce per-unit content cost to near + zero while maintaining surface coverage + + Structural collapse of the floor — + unlimited slop at no marginal cost +
+
+ +

AI Is Where This Was Always Going

+ +

+ The question AI puts to the industry is not a technical + one. It is a choice: do we hire a writer, or don't we? + Do we commission a director with a specific vision, or do + we generate the output that vision would have produced? + That choice is now explicit in a way it was not before. + And given everything the industry has already demonstrated + about its priorities - the franchise logic, the subscriber + metrics, the systematic elimination of creative risk — + there is not much reason to expect most studios and + platforms to choose the human when the alternative is + cheaper and more controllable. +

+ +

+ This is what artists have been worried about, and they are + right - but not quite for the reason usually given. The + concern is often framed as AI producing bad films. The more + accurate concern is that AI produces films optimised for + the same thing the industry already optimises for: volume, + familiarity, minimum acceptable quality. AI does not + introduce a new set of values into the pipeline. It + enforces the existing ones more efficiently. A model + trained on what has performed before will reliably produce + more of what has performed before. For an industry that has + spent two decades treating proven formula as the safest + bet, that is not a warning. It is a feature. +

+ +

+ What gets lost is not quality in the narrow sense - an + AI can produce something watchable, and watchable is + already the threshold most of the industry is aiming for. + What gets lost is the possibility of something genuinely + unexpected. A writer or director brings a specific + perspective that did not exist before, that cannot be + interpolated from what came before, and that occasionally + produces something the market did not know it wanted until + it arrived. The first Matrix was that. The early MCU was + that. The pipeline, fully enforced by AI, eliminates the + conditions under which that becomes possible. Every film + becomes a variation on the centroid of everything that + already worked. The ceiling does not disappear - it just + gets permanent. +

+ +

What Would Fix It

+ +

+ The honest answer is that the incentive structure would + need to change, and there is no obvious mechanism by which + that happens from inside the industry. The studios that + consistently produce the best work are either small enough + to be insulated from franchise logic, backed by individuals + with enough capital and conviction to override short-term + return calculations, or operating in markets where the + economics of Hollywood do not apply in the same way. +

+ +

+ Audiences have some leverage. Theatrical attendance is a + direct signal. Not watching a streaming series past its + first episode is a direct signal. The platforms and studios + read these signals carefully - they just tend to read them + as evidence that they need better marketing rather than + better films. That misreading is itself a symptom of an + industry that has fully internalised the idea that the + product is secondary to the pipeline. +

+ +
+ +

+ Cinema at its best is one of the few experiences that cannot + be fully replicated on a phone screen with half your + attention elsewhere. The industry has spent twenty years + making content that can be. That is not an accident. It is + what you get when every structural incentive points toward + volume, safety, and extraction - and nobody in a position + to change it has a strong enough reason to try. +

+
+ +
+ + \ No newline at end of file diff --git a/static/finance.html b/static/finance.html new file mode 100644 index 0000000..3d8260b --- /dev/null +++ b/static/finance.html @@ -0,0 +1,265 @@ + + + + + + Consensus Is the Problem — Samantha Vero Friis + + + + +
+
+ ← back +

// opinion

+

Consensus Is
the
Problem

+ +
+ +
+

+ A stock price is not a summary of a company's fundamentals. + It is the market's current best guess about the future. + The price already contains expectations. The question worth + asking is whether those expectations are right. +

+ +

What a Price Is Really Saying

+ +

+ Every valuation implies a story. A company trading at forty + times earnings is not just expensive — it is telling you that + the market believes something specific: that growth will remain + high for long enough, that margins will hold, that the + competitive position is durable. Unpack the multiple into its + components and you have a set of forecasts baked into the + price. The investor's job is to decide whether those forecasts + are reasonable. +

+ +

+ This reframing matters because it shifts the question from + "is this stock cheap?" to "is this story credible?" Cheap + stocks can be cheap for good reason. Expensive stocks can be + undervalued if the embedded assumptions are too conservative. + Value, in this sense, is not a property of price alone — it + is the gap between what the price implies and what reality is + likely to deliver. +

+ +

The Consensus Problem

+ +

+ Markets aggregate information quickly and, on average, do it + well. But consensus is not the same as correctness. Consensus + is the average of what a large number of participants currently + believe, weighted by their capital. It reflects what is known, + what is legible, and what is socially acceptable to believe. + It is systematically slow to update on things that are + ambiguous, uncomfortable, or genuinely novel. +

+ +

+ When an investment thesis is consensus — when every analyst + covers the stock, every major fund holds it, and the positive + narrative is repeated on every earnings call — the upside is + already in the price. There is no one left to convince. A + buyer who enters at that point is not getting paid for a + correct view. They are paying for the privilege of agreeing + with everyone else. +

+ +
+ The consensus trade is already priced.
+ Only disagreement can generate alpha. +
+ +

+ This is the central problem with conventional value investing + as it is commonly practiced today. The stocks that look most + obviously cheap are often the ones where the consensus has + already decided they deserve to be cheap. The screening + criteria that identify "value" are, by construction, widely + known and widely applied. The edge that came from running + those screens in 1975 does not exist in the same form now. +

+ +

Where Mispricing Actually Lives

+ +

+ Genuine mispricing tends to occur in situations where the + consensus view is wrong in a specific and identifiable way, + and where that wrongness has not yet been corrected. This + can happen for several structural reasons. +

+ +

+ Institutional constraints create systematic blind spots. Fund + managers are evaluated on short cycles, penalized for holding + unfashionable names, and often prohibited from owning + securities outside their mandate. These pressures push capital + away from certain situations not because the economics are bad + but because the social and career costs of being wrong there + are high. The result is that some assets are systematically + underowned relative to their intrinsic value. +

+ +

+ Narrative lag is another source. Companies undergoing genuine + change — a new management team, a shift in cost structure, an + improving competitive position — often continue to be priced + against their old story long after the underlying reality has + shifted. The market is very good at updating on quantitative + signals and very slow at updating on qualitative ones. +

+ +

+ Complexity discounts are real and often excessive. A business + that is hard to model, that operates across multiple segments, + or that sits at the intersection of industries analysts do not + cover together will often trade at a lower multiple than a + simpler business with identical economics. That discount is not + always irrational — complexity carries risk — but it is often + overdone. +

+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
SourceWhy consensus gets it wrongWhat to look for
Institutional constraints + Capital avoids the name for structural, + not economic, reasons + + Forced sellers, mandate mismatches, + index exclusions +
Narrative lag + Price reflects the old story; reality + has already changed + + Management change, cost restructuring, + improving unit economics +
Complexity discount + Analysts underweight what they cannot + easily model + + Conglomerates, cross-sector businesses, + opaque but healthy cash flows +
Sentiment overshoot + Fear or enthusiasm has moved price far + beyond the rational range + + Implied assumptions that require + implausible outcomes to justify current price +
+
+ +

The Role of Implied Expectations

+ +

+ The most disciplined version of this approach is to work + backwards from price. Rather than building a model and + concluding that a stock is cheap or expensive, start by + asking: what does this price require? What growth rate, what + margin profile, what reinvestment assumption would you need + to believe to justify paying what the market is asking today? +

+ +

+ If the answer requires a long run of performance with no + credible foundation in the company's history, competitive + position, or industry structure — the price is wrong in one + direction. If the assumptions are so pessimistic that even a + mediocre outcome would beat them, it is wrong in the other. +

+ +

+ This framing makes the investment case explicit and + falsifiable. It forces a specific disagreement with the + market rather than a vague sense that something is cheap or + expensive. And it clarifies what would need to be true for + the thesis to fail — which is at least as important as + knowing what would need to be true for it to succeed. +

+ +

On Being Wrong in Public

+ +

+ A genuinely contrarian position is, by definition, one that + the consensus thinks is mistaken. Holding it requires being + comfortable with the fact that most informed observers + currently disagree with you, and that some period of time + will pass before — if — the price reflects the view you hold. + That discomfort is not incidental to the strategy. It is the + mechanism by which the return is generated. If the position + were comfortable, it would be consensus, and it would already + be priced. +

+ +

+ This does not mean contrarianism for its own sake is sound. + Being different from the consensus is not the same as being + right. The goal is not to disagree with the market but to + identify specific, well-reasoned cases where the market's + current view is demonstrably wrong — and where the gap + between implied expectations and probable reality is large + enough to be worth the risk of being early, or simply + incorrect. +

+ +
+ +

+ Value is not a style. It is a discipline applied wherever + the math supports it. The companies that look most like + "value stocks" by conventional screens are often the ones + where the opportunity has already been arbitraged away. The + real work is in finding the situations where the consensus + has constructed a story the underlying economics cannot + support — or has failed to construct one that they clearly + do. That gap, wherever it appears, is where returns come + from. +

+
+ + +
+ + \ No newline at end of file diff --git a/static/gitpage.html b/static/gitpage.html deleted file mode 100644 index 71dc797..0000000 --- a/static/gitpage.html +++ /dev/null @@ -1,188 +0,0 @@ - - - - - - Git — Samantha Friis - - - - -
- -
- ← back -

// git

-

Code &
Repositories

-

Personal projects  ·  Private & public

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