More on Economics & Investing

Thomas Huault
3 years ago
A Mean Reversion Trading Indicator Inspired by Classical Mechanics Is The Kinetic Detrender
DATA MINING WITH SUPERALGORES
Old pots produce the best soup.
Science has always inspired indicator design. From physics to signal processing, many indicators use concepts from mechanical engineering, electronics, and probability. In Superalgos' Data Mining section, we've explored using thermodynamics and information theory to construct indicators and using statistical and probabilistic techniques like reduced normal law to take advantage of low probability events.
An asset's price is like a mechanical object revolving around its moving average. Using this approach, we could design an indicator using the oscillator's Total Energy. An oscillator's energy is finite and constant. Since we don't expect the price to follow the harmonic oscillator, this energy should deviate from the perfect situation, and the maximum of divergence may provide us valuable information on the price's moving average.
Definition of the Harmonic Oscillator in Few Words
Sinusoidal function describes a harmonic oscillator. The time-constant energy equation for a harmonic oscillator is:
With
Time saves energy.
In a mechanical harmonic oscillator, total energy equals kinetic energy plus potential energy. The formula for energy is the same for every kind of harmonic oscillator; only the terms of total energy must be adapted to fit the relevant units. Each oscillator has a velocity component (kinetic energy) and a position to equilibrium component (potential energy).
The Price Oscillator and the Energy Formula
Considering the harmonic oscillator definition, we must specify kinetic and potential components for our price oscillator. We define oscillator velocity as the rate of change and equilibrium position as the price's distance from its moving average.
Price kinetic energy:
It's like:
With
and
L is the number of periods for the rate of change calculation and P for the close price EMA calculation.
Total price oscillator energy =
Given that an asset's price can theoretically vary at a limitless speed and be endlessly far from its moving average, we don't expect this formula's outcome to be constrained. We'll normalize it using Z-Score for convenience of usage and readability, which also allows probabilistic interpretation.
Over 20 periods, we'll calculate E's moving average and standard deviation.
We calculated Z on BTC/USDT with L = 10 and P = 21 using Knime Analytics.
The graph is detrended. We added two horizontal lines at +/- 1.6 to construct a 94.5% probability zone based on reduced normal law tables. Price cycles to its moving average oscillate clearly. Red and green arrows illustrate where the oscillator crosses the top and lower limits, corresponding to the maximum/minimum price oscillation. Since the results seem noisy, we may apply a non-lagging low-pass or multipole filter like Butterworth or Laguerre filters and employ dynamic bands at a multiple of Z's standard deviation instead of fixed levels.
Kinetic Detrender Implementation in Superalgos
The Superalgos Kinetic detrender features fixed upper and lower levels and dynamic volatility bands.
The code is pretty basic and does not require a huge amount of code lines.
It starts with the standard definitions of the candle pointer and the constant declaration :
let candle = record.current
let len = 10
let P = 21
let T = 20
let up = 1.6
let low = 1.6Upper and lower dynamic volatility band constants are up and low.
We proceed to the initialization of the previous value for EMA :
if (variable.prevEMA === undefined) {
variable.prevEMA = candle.close
}And the calculation of EMA with a function (it is worth noticing the function is declared at the end of the code snippet in Superalgos) :
variable.ema = calculateEMA(P, candle.close, variable.prevEMA)
//EMA calculation
function calculateEMA(periods, price, previousEMA) {
let k = 2 / (periods + 1)
return price * k + previousEMA * (1 - k)
}The rate of change is calculated by first storing the right amount of close price values and proceeding to the calculation by dividing the current close price by the first member of the close price array:
variable.allClose.push(candle.close)
if (variable.allClose.length > len) {
variable.allClose.splice(0, 1)
}
if (variable.allClose.length === len) {
variable.roc = candle.close / variable.allClose[0]
} else {
variable.roc = 1
}Finally, we get energy with a single line:
variable.E = 1 / 2 * len * variable.roc + 1 / 2 * P * candle.close / variable.emaThe Z calculation reuses code from Z-Normalization-based indicators:
variable.allE.push(variable.E)
if (variable.allE.length > T) {
variable.allE.splice(0, 1)
}
variable.sum = 0
variable.SQ = 0
if (variable.allE.length === T) {
for (var i = 0; i < T; i++) {
variable.sum += variable.allE[i]
}
variable.MA = variable.sum / T
for (var i = 0; i < T; i++) {
variable.SQ += Math.pow(variable.allE[i] - variable.MA, 2)
}
variable.sigma = Math.sqrt(variable.SQ / T)
variable.Z = (variable.E - variable.MA) / variable.sigma
} else {
variable.Z = 0
}
variable.allZ.push(variable.Z)
if (variable.allZ.length > T) {
variable.allZ.splice(0, 1)
}
variable.sum = 0
variable.SQ = 0
if (variable.allZ.length === T) {
for (var i = 0; i < T; i++) {
variable.sum += variable.allZ[i]
}
variable.MAZ = variable.sum / T
for (var i = 0; i < T; i++) {
variable.SQ += Math.pow(variable.allZ[i] - variable.MAZ, 2)
}
variable.sigZ = Math.sqrt(variable.SQ / T)
} else {
variable.MAZ = variable.Z
variable.sigZ = variable.MAZ * 0.02
}
variable.upper = variable.MAZ + up * variable.sigZ
variable.lower = variable.MAZ - low * variable.sigZWe also update the EMA value.
variable.prevEMA = variable.EMAConclusion
We showed how to build a detrended oscillator using simple harmonic oscillator theory. Kinetic detrender's main line oscillates between 2 fixed levels framing 95% of the values and 2 dynamic levels, leading to auto-adaptive mean reversion zones.
Superalgos' Normalized Momentum data mine has the Kinetic detrender indication.
All the material here can be reused and integrated freely by linking to this article and Superalgos.
This post is informative and not financial advice. Seek expert counsel before trading. Risk using this material.

Quant Galore
3 years ago
I created BAW-IV Trading because I was short on money.
More retail traders means faster, more sophisticated, and more successful methods.
Tech specifications
Only requires a laptop and an internet connection.
We'll use OpenBB's research platform for data/analysis.
Pricing and execution on Options-Quant
Background
You don't need to know the arithmetic details to use this method.
Black-Scholes is a popular option pricing model. It's best for pricing European options. European options are only exercisable at expiration, unlike American options. American options are always exercisable.
American options carry a premium to cover for the risk of early exercise. The Black-Scholes model doesn't account for this premium, hence it can't price genuine, traded American options.
Barone-Adesi-Whaley (BAW) model. BAW modifies Black-Scholes. It accounts for exercise risk premium and stock dividends. It adds the option's early exercise value to the Black-Scholes value.
The trader need not know the formulaic derivations of this model.
https://ir.nctu.edu.tw/bitstream/11536/14182/1/000264318900005.pdf
Strategy
This strategy targets implied volatility. First, we'll locate liquid options that expire within 30 days and have minimal implied volatility.
After selecting the option that meets the requirements, we price it to get the BAW implied volatility (we choose BAW because it's a more accurate Black-Scholes model). If estimated implied volatility is larger than market volatility, we'll capture the spread.
(Calculated IV — Market IV) = (Profit)
Some approaches to target implied volatility are pricey and inaccessible to individual investors. The best and most cost-effective alternative is to acquire a straddle and delta hedge. This may sound terrifying and pricey, but as shown below, it's much less so.
The Trade
First, we want to find our ideal option, so we use OpenBB terminal to screen for options that:
Have an IV at least 5% lower than the 20-day historical IV
Are no more than 5% out-of-the-money
Expire in less than 30 days
We query:
stocks/options/screen/set low_IV/scr --export Output.csv
This uses the screener function to screen for options that satisfy the above criteria, which we specify in the low IV preset (more on custom presets here). It then saves the matching results to a csv(Excel) file for viewing and analysis.
Stick to liquid names like SPY, AAPL, and QQQ since getting out of a position is just as crucial as getting in. Smaller, illiquid names have higher inefficiencies, which could restrict total profits.
We calculate IV using the BAWbisection model (the bisection is a method of calculating IV, more can be found here.) We price the IV first.
According to the BAW model, implied volatility at this level should be priced at 26.90%. When re-pricing the put, IV is 24.34%, up 3%.
Now it's evident. We must purchase the straddle (long the call and long the put) assuming the computed implied volatility is more appropriate and efficient than the market's. We just want to speculate on volatility, not price fluctuations, thus we delta hedge.
The Fun Starts
We buy both options for $7.65. (x100 multiplier). Initial delta is 2. For every dollar the stock price swings up or down, our position value moves $2.
We want delta to be 0 to avoid price vulnerability. A delta of 0 suggests our position's value won't change from underlying price changes. Being delta-hedged allows us to profit/lose from implied volatility. Shorting 2 shares makes us delta-neutral.
That's delta hedging. (Share price * shares traded) = $330.7 to become delta-neutral. You may have noted that delta is not truly 0.00. This is common since delta-hedging means getting as near to 0 as feasible, since it is rare for deltas to align at 0.00.
Now we're vulnerable to changes in Vega (and Gamma, but given we're dynamically hedging, it's not a big risk), or implied volatility. We wanted to gamble that the position's IV would climb by at least 2%, so we'll maintain it delta-hedged and watch IV.
Because the underlying moves continually, the option's delta moves continuously. A trader can short/long 5 AAPL shares at most. Paper trading lets you practice delta-hedging. Being quick-footed will help with this tactic.
Profit-Closing
As expected, implied volatility rose. By 10 minutes before market closure, the call's implied vol rose to 27% and the put's to 24%. This allowed us to sell the call for $4.95 and the put for $4.35, creating a profit of $165.
You may pull historical data to see how this trade performed. Note the implied volatility and pricing in the final options chain for August 5, 2022 (the position date).
Final Thoughts
Congratulations, that was a doozy. To reiterate, we identified tickers prone to increased implied volatility by screening OpenBB's low IV setting. We double-checked the IV by plugging the price into Options-BAW Quant's model. When volatility was off, we bought a straddle and delta-hedged it. Finally, implied volatility returned to a normal level, and we profited on the spread.
The retail trading space is very quickly catching up to that of institutions. Commissions and fees used to kill this method, but now they cost less than $5. Watching momentum, technical analysis, and now quantitative strategies evolve is intriguing.
I'm not linked with these sites and receive no financial benefit from my writing.
Tell me how your experience goes and how I helped; I love success tales.

Liam Vaughan
3 years ago
Investors can bet big on almost anything on a new prediction market.
Kalshi allows five-figure bets on the Grammys, the next Covid wave, and future SEC commissioners. Worst-case scenario
On Election Day 2020, two young entrepreneurs received a call from the CFTC chairman. Luana Lopes Lara and Tarek Mansour spent 18 months trying to start a new type of financial exchange. Instead of betting on stock prices or commodity futures, people could trade instruments tied to real-world events, such as legislation, the weather, or the Oscar winner.
Heath Tarbert, a Trump appointee, shouted "Congratulations." "You're competing with 1840s-era markets. I'm sure you'll become a powerhouse too."
Companies had tried to introduce similar event markets in the US for years, but Tarbert's agency, the CFTC, said no, arguing they were gambling and prone to cheating. Now the agency has reversed course, approving two 24-year-olds who will have first-mover advantage in what could become a huge new asset class. Kalshi Inc. raised $30 million from venture capitalists within weeks of Tarbert's call, his representative says. Mansour, 26, believes this will be bigger than crypto.
Anyone who's read The Wisdom of Crowds knows prediction markets' potential. Well-designed markets can help draw out knowledge from disparate groups, and research shows that when money is at stake, people make better predictions. Lopes Lara calls it a "bullshit tax." That's why Google, Microsoft, and even the US Department of Defense use prediction markets internally to guide decisions, and why university-linked political betting sites like PredictIt sometimes outperform polls.
Regulators feared Wall Street-scale trading would encourage investors to manipulate reality. If the stakes are high enough, traders could pressure congressional staffers to stall a bill or bet on whether Kanye West's new album will drop this week. When Lopes Lara and Mansour pitched the CFTC, senior regulators raised these issues. Politically appointed commissioners overruled their concerns, and one later joined Kalshi's board.
Will Kanye’s new album come out next week? Yes or no?
Kalshi's victory was due more to lobbying and legal wrangling than to Silicon Valley-style innovation. Lopes Lara and Mansour didn't invent anything; they changed a well-established concept's governance. The result could usher in a new era of market-based enlightenment or push Wall Street's destructive tendencies into the real world.
If Kalshi's founders lacked experience to bolster their CFTC application, they had comical youth success. Lopes Lara studied ballet at the Brazilian Bolshoi before coming to the US. Mansour won France's math Olympiad. They bonded over their work ethic in an MIT computer science class.
Lopes Lara had the idea for Kalshi while interning at a New York hedge fund. When the traders around her weren't working, she noticed they were betting on the news: Would Apple hit a trillion dollars? Kylie Jenner? "It was anything," she says.
Are mortgage rates going up? Yes or no?
Mansour saw the business potential when Lopes Lara suggested it. He interned at Goldman Sachs Group Inc., helping investors prepare for the UK leaving the EU. Goldman sold clients complex stock-and-derivative combinations. As he discussed it with Lopes Lara, they agreed that investors should hedge their risk by betting on Brexit itself rather than an imperfect proxy.
Lopes Lara and Mansour hypothesized how a marketplace might work. They settled on a "event contract," a binary-outcome instrument like "Will inflation hit 5% by the end of the month?" The contract would settle at $1 (if the event happened) or zero (if it didn't), but its price would fluctuate based on market sentiment. After a good debate, a politician's election odds may rise from 50 to 55. Kalshi would charge a commission on every trade and sell data to traders, political campaigns, businesses, and others.
In October 2018, five months after graduation, the pair flew to California to compete in a hackathon for wannabe tech founders organized by the Silicon Valley incubator Y Combinator. They built a website in a day and a night and presented it to entrepreneurs the next day. Their prototype barely worked, but they won a three-month mentorship program and $150,000. Michael Seibel, managing director of Y Combinator, said of their idea, "I had to take a chance!"
Will there be another moon landing by 2025?
Seibel's skepticism was rooted in America's historical wariness of gambling. Roulette, poker, and other online casino games are largely illegal, and sports betting was only legal in a few states until May 2018. Kalshi as a risk-hedging platform rather than a bookmaker seemed like a good idea, but convincing the CFTC wouldn't be easy. In 2012, the CFTC said trading on politics had no "economic purpose" and was "contrary to the public interest."
Lopes Lara and Mansour cold-called 60 Googled lawyers during their time at Y Combinator. Everyone advised quitting. Mansour recalls the pain. Jeff Bandman, a former CFTC official, helped them navigate the agency and its characters.
When they weren’t busy trying to recruit lawyers, Lopes Lara and Mansour were meeting early-stage investors. Alfred Lin of Sequoia Capital Operations LLC backed Airbnb, DoorDash, and Uber Technologies. Lin told the founders their idea could capitalize on retail trading and challenge how the financial world manages risk. "Come back with regulatory approval," he said.
In the US, even small bets on most events were once illegal. Under the Commodity Exchange Act, the CFTC can stop exchanges from listing contracts relating to "terrorism, assassination, war" and "gaming" if they are "contrary to the public interest," which was often the case.
Will subway ridership return to normal? Yes or no?
In 1988, as academic interest in the field grew, the agency allowed the University of Iowa to set up a prediction market for research purposes, as long as it didn't make a profit or advertise and limited bets to $500. PredictIt, the biggest and best-known political betting platform in the US, also got an exemption thanks to an association with Victoria University of Wellington in New Zealand. Today, it's a sprawling marketplace with its own subculture and lingo. PredictIt users call it "Rules Cuck Panther" when they lose on a technicality. Major news outlets cite PredictIt's odds on Discord and the Star Spangled Gamblers podcast.
CFTC limits PredictIt bets to $850. To keep traders happy, PredictIt will often run multiple variations of the same question, listing separate contracts for two dozen Democratic primary candidates, for example. A trader could have more than $10,000 riding on a single outcome. Some of the site's traders are current or former campaign staffers who can answer questions like "How many tweets will Donald Trump post from Nov. 20 to 27?" and "When will Anthony Scaramucci's role as White House communications director end?"
According to PredictIt co-founder John Phillips, politicians help explain the site's accuracy. "Prediction markets work well and are accurate because they attract people with superior information," he said in a 2016 podcast. “In the financial stock market, it’s called inside information.”
Will Build Back Better pass? Yes or no?
Trading on nonpublic information is illegal outside of academia, which presented a dilemma for Lopes Lara and Mansour. Kalshi's forecasts needed to be accurate. Kalshi must eliminate insider trading as a regulated entity. Lopes Lara and Mansour wanted to build a high-stakes PredictIt without the anarchy or blurred legal lines—a "New York Stock Exchange for Events." First, they had to convince regulators event trading was safe.
When Lopes Lara and Mansour approached the CFTC in the spring of 2019, some officials in the Division of Market Oversight were skeptical, according to interviews with people involved in the process. For all Kalshi's talk of revolutionizing finance, this was just a turbocharged version of something that had been rejected before.
The DMO couldn't see the big picture. The staff review was supposed to ensure Kalshi could complete a checklist, "23 Core Principles of a Designated Contract Market," which included keeping good records and having enough money. The five commissioners decide. With Trump as president, three of them were ideologically pro-market.
Lopes Lara, Mansour, and their lawyer Bandman, an ex-CFTC official, answered the DMO's questions while lobbying the commissioners on Zoom about the potential of event markets to mitigate risks and make better decisions. Before each meeting, they would write a script and memorize it word for word.
Will student debt be forgiven? Yes or no?
Several prediction markets that hadn't sought regulatory approval bolstered Kalshi's case. Polymarket let customers bet hundreds of thousands of dollars anonymously using cryptocurrencies, making it hard to track. Augur, which facilitates private wagers between parties using blockchain, couldn't regulate bets and hadn't stopped users from betting on assassinations. Kalshi, by comparison, argued it was doing everything right. (The CFTC fined Polymarket $1.4 million for operating an unlicensed exchange in January 2022. Polymarket says it's now compliant and excited to pioneer smart contract-based financial solutions with regulators.
Kalshi was approved unanimously despite some DMO members' concerns about event contracts' riskiness. "Once they check all the boxes, they're in," says a CFTC insider.
Three months after CFTC approval, Kalshi announced funding from Sequoia, Charles Schwab, and Henry Kravis. Sequoia's Lin, who joined the board, said Tarek, Luana, and team created a new way to invest and engage with the world.
The CFTC hadn't asked what markets the exchange planned to run since. After approval, Lopes Lara and Mansour had the momentum. Kalshi's March list of 30 proposed contracts caused chaos at the DMO. The division handles exchanges that create two or three new markets a year. Kalshi’s business model called for new ones practically every day.
Uncontroversial proposals included weather and GDP questions. Others, on the initial list and later, were concerning. DMO officials feared Covid-19 contracts amounted to gambling on human suffering, which is why war and terrorism markets are banned. (Similar logic doomed ex-admiral John Poindexter's Policy Analysis Market, a Bush-era plan to uncover intelligence by having security analysts bet on Middle East events.) Regulators didn't see how predicting the Grammy winners was different from betting on the Patriots to win the Super Bowl. Who, other than John Legend, would need to hedge the best R&B album winner?
Event contracts raised new questions for the DMO's product review team. Regulators could block gaming contracts that weren't in the public interest under the Commodity Exchange Act, but no one had defined gaming. It was unclear whether the CFTC had a right or an obligation to consider whether a contract was in the public interest. How was it to determine public interest? Another person familiar with the CFTC review says, "It was a mess." The agency didn't comment.
CFTC staff feared some event contracts could be cheated. Kalshi wanted to run a bee-endangerment market. The DMO pushed back, saying it saw two problems symptomatic of the asset class: traders could press government officials for information, and officials could delay adding the insects to the list to cash in.
The idea that traders might manipulate prediction markets wasn't paranoid. In 2013, academics David Rothschild and Rajiv Sethi found that an unidentified party lost $7 million buying Mitt Romney contracts on Intrade, a now-defunct, unlicensed Irish platform, in the runup to the 2012 election. The authors speculated that the trader, whom they dubbed the “Romney Whale,” may have been looking to boost morale and keep donations coming in.
Kalshi said manipulation and insider trading are risks for any market. It built a surveillance system and said it would hire a team to monitor it. "People trade on events all the time—they just use options and other instruments. This brings everything into the open, Mansour says. Kalshi didn't include election contracts, a red line for CFTC Democrats.
Lopes Lara and Mansour were ready to launch kalshi.com that summer, but the DMO blocked them. Product reviewers were frustrated by spending half their time on an exchange that represented a tiny portion of the derivatives market. Lopes Lara and Mansour pressed politically appointed commissioners during the impasse.
Tarbert, the chairman, had moved on, but Kalshi found a new supporter in Republican Brian Quintenz, a crypto-loving former hedge fund manager. He was unmoved by the DMO's concerns, arguing that speculation on Kalshi's proposed events was desirable and the agency had no legal standing to prevent it. He supported a failed bid to allow NFL futures earlier this year. Others on the commission were cautious but supportive. Given the law's ambiguity, they worried they'd be on shaky ground if Kalshi sued if they blocked a contract. Without a permanent chairman, the agency lacked leadership.
To block a contract, DMO staff needed a majority of commissioners' support, which they didn't have in all but a few cases. "We didn't have the votes," a reviewer says, paraphrasing Hamilton. By the second half of 2021, new contract requests were arriving almost daily at the DMO, and the demoralized and overrun division eventually accepted defeat and stopped fighting back. By the end of the year, three senior DMO officials had left the agency, making it easier for Kalshi to list its contracts unimpeded.
Today, Kalshi is growing. 32 employees work in a SoHo office with big windows and exposed brick. Quintenz, who left the CFTC 10 months after Kalshi was approved, is on its board. He joined because he was interested in the market's hedging and risk management opportunities.
Mid-May, the company's website had 75 markets, such as "Will Q4 GDP be negative?" Will NASA land on the moon by 2025? The exchange recently reached 2 million weekly contracts, a jump from where it started but still a small number compared to other futures exchanges. Early adopters are PredictIt and Polymarket fans. Bets on the site are currently capped at $25,000, but Kalshi hopes to increase that to $100,000 and beyond.
With the regulatory drawbridge down, Lopes Lara and Mansour must move quickly. Chicago's CME Group Inc. plans to offer index-linked event contracts. Kalshi will release a smartphone app to attract customers. After that, it hopes to partner with a big brokerage. Sequoia is a major investor in Robinhood Markets Inc. Robinhood users could have access to Kalshi so that after buying GameStop Corp. shares, they'd be prompted to bet on the Oscars or the next Fed commissioner.
Some, like Illinois Democrat Sean Casten, accuse Robinhood and its competitors of gamifying trading to encourage addiction, but Kalshi doesn't seem worried. Mansour says Kalshi's customers can't bet more than they've deposited, making debt difficult. Eventually, he may introduce leveraged bets.
Tension over event contracts recalls another CFTC episode. Brooksley Born proposed regulating the financial derivatives market in 1994. Alan Greenspan and others in the government opposed her, saying it would stifle innovation and push capital overseas. Unrestrained, derivatives grew into a trillion-dollar industry until 2008, when they sparked the financial crisis.
Today, with a midterm election looming, it seems reasonable to ask whether Kalshi plans to get involved. Elections have historically been the biggest draw in prediction markets, with 125 million shares traded on PredictIt for 2020. “We can’t discuss specifics,” Mansour says. “All I can say is, you know, we’re always working on expanding the universe of things that people can trade on.”
Any election contracts would need CFTC approval, which may be difficult with three Democratic commissioners. A Republican president would change the equation.
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Adam Frank
3 years ago
Humanity is not even a Type 1 civilization. What might a Type 3 be capable of?
The Kardashev scale grades civilizations from Type 1 to Type 3 based on energy harvesting.
How do technologically proficient civilizations emerge across timescales measuring in the tens of thousands or even millions of years? This is a question that worries me as a researcher in the search for “technosignatures” from other civilizations on other worlds. Since it is already established that longer-lived civilizations are the ones we are most likely to detect, knowing something about their prospective evolutionary trajectories could be translated into improved search tactics. But even more than knowing what to seek for, what I really want to know is what happens to a society after so long time. What are they capable of? What do they become?
This was the question Russian SETI pioneer Nikolai Kardashev asked himself back in 1964. His answer was the now-famous “Kardashev Scale.” Kardashev was the first, although not the last, scientist to try and define the processes (or stages) of the evolution of civilizations. Today, I want to launch a series on this question. It is crucial to technosignature studies (of which our NASA team is hard at work), and it is also important for comprehending what might lay ahead for mankind if we manage to get through the bottlenecks we have now.
The Kardashev scale
Kardashev’s question can be expressed another way. What milestones in a civilization’s advancement up the ladder of technical complexity will be universal? The main notion here is that all (or at least most) civilizations will pass through some kind of definable stages as they progress, and some of these steps might be mirrored in how we could identify them. But, while Kardashev’s major focus was identifying signals from exo-civilizations, his scale gave us a clear way to think about their evolution.
The classification scheme Kardashev employed was not based on social systems of ethics because they are something that we can probably never predict about alien cultures. Instead, it was built on energy, which is something near and dear to the heart of everybody trained in physics. Energy use might offer the basis for universal stages of civilisation progression because you cannot do the work of establishing a civilization without consuming energy. So, Kardashev looked at what energy sources were accessible to civilizations as they evolved technologically and used those to build his scale.
From Kardashev’s perspective, there are three primary levels or “types” of advancement in terms of harvesting energy through which a civilization should progress.
Type 1: Civilizations that can capture all the energy resources of their native planet constitute the first stage. This would imply capturing all the light energy that falls on a world from its host star. This makes it reasonable, given solar energy will be the largest source available on most planets where life could form. For example, Earth absorbs hundreds of atomic bombs’ worth of energy from the Sun every second. That is a rather formidable energy source, and a Type 1 race would have all this power at their disposal for civilization construction.
Type 2: These civilizations can extract the whole energy resources of their home star. Nobel Prize-winning scientist Freeman Dyson famously anticipated Kardashev’s thinking on this when he imagined an advanced civilization erecting a large sphere around its star. This “Dyson Sphere” would be a machine the size of the complete solar system for gathering stellar photons and their energy.
Type 3: These super-civilizations could use all the energy produced by all the stars in their home galaxy. A normal galaxy has a few hundred billion stars, so that is a whole lot of energy. One way this may be done is if the civilization covered every star in their galaxy with Dyson spheres, but there could also be more inventive approaches.
Implications of the Kardashev scale
Climbing from Type 1 upward, we travel from the imaginable to the god-like. For example, it is not hard to envisage utilizing lots of big satellites in space to gather solar energy and then beaming that energy down to Earth via microwaves. That would get us to a Type 1 civilization. But creating a Dyson sphere would require chewing up whole planets. How long until we obtain that level of power? How would we have to change to get there? And once we get to Type 3 civilizations, we are virtually thinking about gods with the potential to engineer the entire cosmos.
For me, this is part of the point of the Kardashev scale. Its application for thinking about identifying technosignatures is crucial, but even more strong is its capacity to help us shape our imaginations. The mind might become blank staring across hundreds or thousands of millennia, and so we need tools and guides to focus our attention. That may be the only way to see what life might become — what we might become — once it arises to start out beyond the boundaries of space and time and potential.
This is a summary. Read the full article here.

Aldric Chen
3 years ago
Jack Dorsey's Meeting Best Practice was something I tried. It Performs Exceptionally Well in Consulting Engagements.
Yes, client meetings are difficult. Especially when I'm alone.
Clients must tell us their problems so we can help.
In-meeting challenges contribute nothing to our work. Consider this:
Clients are unprepared.
Clients are distracted.
Clients are confused.
Introducing Jack Dorsey's Google Doc approach
I endorse his approach to meetings.
Not Google Doc-related. Jack uses it for meetings.
This is what his meetings look like.
Prior to the meeting, the Chair creates the agenda, structure, and information using Google Doc.
Participants in the meeting would have 5-10 minutes to read the Google Doc.
They have 5-10 minutes to type their comments on the document.
In-depth discussion begins
There is elegance in simplicity. Here's how Jack's approach is fantastic.
Unprepared clients are given time to read.
During the meeting, they think and work on it.
They can see real-time remarks from others.
Discussion ensues.
Three months ago, I fell for this strategy. After trying it with a client, I got good results.
I conducted social control experiments in a few client workshops.
Context matters.
I am sure Jack Dorsey’s method works well in meetings. What about client workshops?
So, I tested Enterprise of the Future with a consulting client.
I sent multiple emails to client stakeholders describing the new approach.
No PowerPoints that day. I spent the night setting up the Google Doc with conversation topics, critical thinking questions, and a Before and After section.
The client was shocked. First, a Google Doc was projected. Second surprise was a verbal feedback.
“No pre-meeting materials?”
“Don’t worry. I know you are not reading it before our meeting, anyway.”
We laughed. The experiment started.
Observations throughout a 90-minute engagement workshop from beginning to end
For 10 minutes, the workshop was silent.
People read the Google Doc. For some, the silence was unnerving.
“Are you not going to present anything to us?”
I said everything's in Google Doc. I asked them to read, remark, and add relevant paragraphs.
As they unlocked their laptops, they were annoyed.
Ten client stakeholders are typing on the Google Doc. My laptop displays comment bubbles, red lines, new paragraphs, and strikethroughs.
The first 10 minutes were productive. Everyone has seen and contributed to the document.
I was silent.
The move to a classical workshop was smooth. I didn't stimulate dialogue. They did.
Stephanie asked Joe why a blended workforce hinders company productivity. She questioned his comments and additional paragraphs.
That is when a light bulb hit my head. Yes, you want to speak to the right person to resolve issues!
Not only that was discussed. Others discussed their remark bubbles with neighbors. Debate circles sprung up one after the other.
The best part? I asked everyone to add their post-discussion thoughts on a Google Doc.
After the workshop, I have:
An agreement-based working document
A post-discussion minutes that are prepared for publication
A record of the discussion points that were brought up, argued, and evaluated critically
It showed me how stakeholders viewed their Enterprise of the Future. It allowed me to align with them.
Finale Keynotes
Client meetings are a hit-or-miss. I know that.
Jack Dorsey's meeting strategy works for consulting. It promotes session alignment.
It relieves clients of preparation.
I get the necessary information to advance this consulting engagement.
It is brilliant.

Kyle Planck
3 years ago
The chronicles of monkeypox.
or, how I spread monkeypox and got it myself.
This story contains nsfw (not safe for wife) stuff and shouldn't be read if you're under 18 or think I'm a newborn angel. After the opening, it's broken into three sections: a chronological explanation of my disease course, my ideas, and what I plan to do next.
Your journey awaits.
As early as mid-may, I was waltzing around the lab talking about monkeypox, a rare tropical disease with an inaccurate name. Monkeys are not its primary animal reservoir. It caused an outbreak among men who have sex with men across Europe, with unprecedented levels of person-to-person transmission. European health authorities speculated that the virus spread at raves and parties and was easily transferred through intimate, mainly sexual, contact. I had already read the nejm article about the first confirmed monkeypox patient in the u.s. and shared the photos on social media so people knew what to look for. The cdc information page only included 4 photographs of monkeypox lesions that looked like they were captured on a motorola razr.
I warned my ex-boyfriend about monkeypox. Monkeypox? responded.
Mom, I'm afraid about monkeypox. What's monkeypox?
My therapist is scared about monkeypox. What's monkeypox?
Was I alone? A few science gays on Twitter didn't make me feel overreacting.
This information got my gay head turning. The incubation period for the sickness is weeks. Many of my social media contacts are traveling to Europe this summer. What is pride? Travel, parties, and sex. Many people may become infected before attending these activities. Monkeypox will affect the lgbtq+ community.
Being right always stinks. My young scientist brain was right, though. Someone who saw this coming is one of the early victims. I'll talk about my feelings publicly, and trust me, I have many concerning what's occurring.
Part 1 is the specifics.
Wednesday nights are never smart but always entertaining. I didn't wake up until noon on june 23 and saw gay twitter blazing. Without warning, the nyc department of health announced a pop-up monkeypox immunization station in chelsea. Some days would be 11am-7pm. Walk-ins were welcome, however appointments were preferred. I tried to arrange an appointment after rubbing my eyes, but they were all taken. I got out of bed, washed my face, brushed my teeth, and put on short shorts because I wanted to get a walk-in dose and show off my legs. I got a 20-oz. cold brew on the way to the train and texted a chelsea-based acquaintance for help.
Clinic closed at 2pm. No more doses. Hundreds queued up. The government initially gave them only 1,000 dosages. For a city with 500,000 LGBT people, c'mon. What more could I do? I was upset by how things were handled. The evidence speaks for itself.
I decided to seek an appointment when additional doses were available and continued my weekend. I was celebrating nyc pride with pals. Fun! sex! *
On tuesday after that, I felt a little burn. This wasn't surprising because I'd been sexually active throughout the weekend, so I got a sti panel the next day. I expected to get results in a few days, take antibiotics, and move on.
Emerging germs had other intentions. Wednesday night, I felt sore, and thursday morning, I had a blazing temperature and had sweat through my bedding. I had fever, chills, and body-wide aches and pains for three days. I reached 102 degrees. I believed I had covid over pride weekend, but I tested negative for three days straight.
STDs don't induce fevers or other systemic symptoms. If lymphogranuloma venereum advances, it can cause flu-like symptoms and swollen lymph nodes. I was suspicious and desperate for answers, so I researched monkeypox on the cdc website (for healthcare professionals). Much of what I saw on screen about monkeypox prodrome matched my symptoms. Multiple-day fever, headache, muscle aches, chills, tiredness, enlarged lymph nodes. Pox were lacking.
I told my doctor my concerns pre-medically. I'm occasionally annoying.
On saturday night, my fever broke and I felt better. Still burning, I was optimistic till sunday, when I woke up with five red splotches on my arms and fingertips.
As spots formed, burning became pain. I observed as spots developed on my body throughout the day. I had more than a dozen by the end of the day, and the early spots were pustular. I had monkeypox, as feared.
Fourth of July weekend limited my options. I'm well-connected in my school's infectious disease academic community, so I texted a coworker for advice. He agreed it was likely monkeypox and scheduled me for testing on tuesday.
nyc health could only perform 10 monkeypox tests every day. Before doctors could take swabs and send them in, each test had to be approved by the department. Some commercial labs can now perform monkeypox testing, but the backlog is huge. I still don't have a positive orthopoxvirus test five days after my test. *My 12-day-old case may not be included in the official monkeypox tally. This outbreak is far wider than we first thought, therefore I'm attempting to spread the information and help contain it.
*Update, 7/11: I have orthopoxvirus.
I spent all day in the bathtub because of the agony. Warm lavender epsom salts helped me feel better. I can't stand lavender anymore. I brought my laptop into the bathroom and viewed everything everywhere at once (2022). If my ex and I hadn't recently broken up, I wouldn't have monkeypox. All of these things made me cry, and I sat in the bathtub on the 4th of July sobbing. I thought, Is this it? I felt like Bridesmaids' Kristen Wiig (2011). I'm a flop. From here, things can only improve.
Later that night, I wore a mask and went to my roof to see the fireworks. Even though I don't like fireworks, there was something wonderful about them this year: the colors, how they illuminated the black surfaces around me, and their transient beauty. Joyful moments rarely linger long in our life. We must enjoy them now.
Several roofs away, my neighbors gathered. Happy 4th! I heard a woman yell. Why is this godforsaken country so happy? Instead of being rude, I replied. I didn't tell them I had monkeypox. I thought that would kill the mood.
By the time I went to the hospital the next day to get my lesions swabbed, wearing long sleeves, pants, and a mask, they looked like this:
I had 30 lesions on my arms, hands, stomach, back, legs, buttcheeks, face, scalp, and right eyebrow. I had some in my mouth, gums, and throat. Current medical thought is that lesions on mucous membranes cause discomfort in sensitive places. Internal lesions are a new feature of this outbreak of monkeypox. Despite being unattractive, the other sores weren't unpleasant or bothersome.
I had a bacterial sti with the pox. Who knows if that would've created symptoms (often it doesn't), but different infections can happen at once. My care team remembered that having a sti doesn't exclude out monkeypox. doxycycline rocks!
The coworker who introduced me to testing also offered me his home. We share a restroom, and monkeypox can be spread through surfaces. (Being a dna virus gives it environmental hardiness that rna viruses like sars-cov-2 lack.) I disinfected our bathroom after every usage, but I was apprehensive. My friend's place has a guest room and second bathroom, so no cross-contamination. It was the ideal monkeypox isolation environment, so I accepted his offer and am writing this piece there. I don't know what I would have done without his hospitality and attention.
The next day, I started tecovirimat, or tpoxx, for 14 days. Smallpox has been eradicated worldwide since the 1980s but remains a bioterrorism concern. Tecovirimat has a unique, orthopoxvirus-specific method of action, which reduces side effects to headache and nausea. It hasn't been used in many people, therefore the cdc is encouraging patients who take it for monkeypox to track their disease and symptoms.
Tpoxx's oral absorption requires a fatty meal. The hospital ordered me to take the medication after a 600-calorie, 25-gram-fat meal every 12 hours. The coordinator joked, "Don't diet for the next two weeks." I wanted to get peanut butter delivered, but jif is recalling their supply due to salmonella. Please give pathogens a break. I got almond butter.
Tpoxx study enrollment was documented. After signing consent documents, my lesions were photographed and measured during a complete physical exam. I got bloodwork to assess my health. My medication delivery was precise; every step must be accounted for. I got a two-week supply and started taking it that night. I rewarded myself with McDonald's. I'd been hungry for a week. I was also prescribed ketorolac (aka toradol), a stronger ibuprofen, for my discomfort.
I thought tpoxx was a wonder medicine by day two of treatment. Early lesions looked like this.
however, They vanished. The three largest lesions on my back flattened and practically disappeared into my skin. Some pustular lesions were diminishing. Tpoxx+toradol has helped me sleep, focus, and feel human again. I'm down to twice-daily baths and feeling hungrier than ever in this illness. On day five of tpoxx, some of the lesions look like this:
I have a ways to go. We must believe I'll be contagious until the last of my patches scabs over, falls off, and sprouts new skin. There's no way to tell. After a week and a half of tremendous pain and psychological stress, any news is good news. I'm grateful for my slow but steady development.
Part 2 of the rant.
Being close to yet not in the medical world is interesting. It lets me know a lot about it without being persuaded by my involvement. Doctors identify and treat patients using a tool called differential diagnosis.
A doctor interviews a patient to learn about them and their symptoms. More is better. Doctors may ask, "Have you traveled recently?" sex life? Have pets? preferred streaming service? (No, really. (Hbomax is right.) After the inquisition, the doctor will complete a body exam ranging from looking in your eyes, ears, and throat to a thorough physical.
After collecting data, the doctor makes a mental (or physical) inventory of all the conceivable illnesses that could cause or explain the patient's symptoms. Differential diagnosis list. After establishing the differential, the clinician can eliminate options. The doctor will usually conduct nucleic acid tests on swab samples or bloodwork to learn more. This helps eliminate conditions from the differential or boosts a condition's likelihood. In an ideal circumstance, the doctor can eliminate all but one reason of your symptoms, leaving your formal diagnosis. Once diagnosed, treatment can begin. yay! Love medicine.
My symptoms two weeks ago did not suggest monkeypox. Fever, pains, weariness, and swollen lymph nodes are caused by several things. My scandalous symptoms weren't linked to common ones. My instance shows the importance of diversity and representation in healthcare. My doctor isn't gay, but he provides culturally sensitive care. I'd heard about monkeypox as a gay man in New York. I was hyper-aware of it and had heard of friends of friends who had contracted it the week before, even though the official case count in the US was 40. My physicians weren't concerned, but I was. How would it appear on his mental differential if it wasn't on his radar? Mental differential rhymes! I'll trademark it to prevent theft. differential!
I was in a rare position to recognize my condition and advocate for myself. I study infections. I'd spent months researching monkeypox. I work at a university where I rub shoulders with some of the country's greatest doctors. I'm a gay dude who follows nyc queer social networks online. All of these variables positioned me to think, "Maybe this is monkeypox," and to explain why.
This outbreak is another example of privilege at work. The brokenness of our healthcare system is once again exposed by the inequities produced by the vaccination rollout and the existence of people like myself who can pull strings owing to their line of work. I can't cure this situation on my own, but I can be a strong voice demanding the government do a better job addressing the outbreak and giving resources and advice to everyone I can.
lgbtqia+ community members' support has always impressed me in new york. The queer community has watched out for me and supported me in ways I never dreamed were possible.
Queer individuals are there for each other when societal structures fail. People went to the internet on the first day of the vaccine rollout to share appointment information and the vaccine clinic's message. Twitter timelines were more effective than marketing campaigns. Contrary to widespread anti-vaccine sentiment, the LGBT community was eager to protect themselves. Smallpox vaccination? sure. gimme. whether I'm safe. I credit the community's sex positivity. Many people are used to talking about STDs, so there's a reduced barrier to saying, "I think I have something, you should be on the watch too," and taking steps to protect our health.
Once I got monkeypox, I posted on Twitter and Instagram. Besides fueling my main character syndrome, I felt like I wasn't alone. My dc-based friend had monkeypox within hours. He told me about his experience and gave me ideas for managing the discomfort. I can't imagine life without him.
My buddy and colleague organized my medical care and let me remain in his home. His and his husband's friendliness and attention made a world of difference in my recovery. All of my friends and family who helped me, whether by venmo, doordash, or moral support, made me feel cared about. I don't deserve the amazing people in my life.
Finally, I think of everyone who commented on my social media posts regarding my trip. Friends from all sectors of my life and all sexualities have written me well wishes and complimented me for my vulnerability, but I feel the most gravitas from fellow lgbtq+ persons. They're learning to spot. They're learning where to go ill. They're learning self-advocacy. I'm another link in our network of caretaking. I've been cared for, therefore I want to do the same. Community and knowledge are powerful.
You're probably wondering where the diatribe is. You may believe he's gushing about his loved ones, and you'd be right. I say that just because the queer community can take care of itself doesn't mean we should.
Even when caused by the same pathogen, comparing health crises is risky. Aids is unlike covid-19 or monkeypox, yet all were caused by poorly understood viruses. The lgbtq+ community has a history of self-medicating. Queer people (and their supporters) have led the charge to protect themselves throughout history when the government refused. Surreal to experience this in real time.
First, vaccination access is a government failure. The strategic national stockpile contains tens of thousands of doses of jynneos, the newest fda-approved smallpox vaccine, and millions of doses of acam2000, an older vaccine for immunocompetent populations. Despite being a monkeypox hotspot and international crossroads, new york has only received 7,000 doses of the jynneos vaccine. Vaccine appointments are booked within minutes. It's showing Hunger Games, which bothers me.
Second, I think the government failed to recognize the severity of the european monkeypox outbreak. We saw abroad reports in may, but the first vaccines weren't available until june. Why was I a 26-year-old pharmacology grad student, able to see a monkeypox problem in europe but not the u.s. public health agency? Or was there too much bureaucracy and politicking, delaying action?
Lack of testing infrastructure for a known virus with vaccinations and therapies is appalling. More testing would have helped understand the problem's breadth. Many homosexual guys, including myself, didn't behave like monkeypox was a significant threat because there were only a dozen instances across the country. Our underestimating of the issue, spurred by a story of few infections, was huge.
Public health officials' response to infectious diseases frustrates me. A wait-and-see approach to infectious diseases is unsatisfactory. Before a sick person is recognized, they've exposed and maybe contaminated numerous others. Vaccinating susceptible populations before a disease becomes entrenched prevents disease. CDC might operate this way. When it was easier, they didn't control or prevent monkeypox. We'll learn when. Sometimes I fear never. Emerging viral infections are a menace in the era of climate change and globalization, and I fear our government will repeat the same mistakes. I don't work at the cdc, thus I have no idea what they do. As a scientist, a homosexual guy, and a citizen of this country, I feel confident declaring that the cdc has not done enough about monkeypox. Will they do enough about monkeypox? The strategic national stockpile can respond to a bioterrorism disaster in 12 hours. I'm skeptical following this outbreak.
It's simple to criticize the cdc, but they're not to blame. Underfunding public health services, especially the cdc, is another way our government fails to safeguard its citizens. I may gripe about the vaccination rollout all I want, but local health departments are doing their best with limited resources. They may not have enough workers to keep up with demand and run a contact-tracing program. Since my orthopoxvirus test is still negative, the doh hasn't asked about my close contacts. By then, my illness will be two weeks old, too long to do anything productive. Not their fault. They're functioning in a broken system that's underfunded for the work it does.
*Update, 7/11: I have orthopoxvirus.
Monkeypox is slow, so i've had time to contemplate. Now that I'm better, I'm angry. furious and sad I want to help. I wish to spare others my pain. This was preventable and solvable, I hope. HOW?
Third, the duty.
Family, especially selected family, helps each other. So many people have helped me throughout this difficult time. How can I give back? I have ideas.
1. Education. I've already started doing this by writing incredibly detailed posts on Instagram about my physical sickness and my thoughts on the entire scandal. via tweets. by producing this essay. I'll keep doing it even if people start to resent me! It's crucial! On my Instagram profile (@kyleplanckton), you may discover a story highlight with links to all of my bizarre yet educational posts.
2. Resources. I've forwarded the contact information for my institution's infectious diseases clinic to several folks who will hopefully be able to get tpoxx under the expanded use policy. Through my social networks, I've learned of similar institutions. I've also shared crowdsourced resources about symptom relief and vaccine appointment availability on social media. DM me or see my Instagram highlight for more.
3. Community action. During my illness, my friends' willingness to aid me has meant the most. It was nice to know I had folks on my side. One of my pals (thanks, kenny) snagged me a mcgriddle this morning when seamless canceled my order. This scenario has me thinking about methods to help people with monkeypox isolation. A two-week isolation period is financially damaging for many hourly workers. Certain governments required paid sick leave for covid-19 to allow employees to recover and prevent spread. No comparable program exists for monkeypox, and none seems to be planned shortly.
I want to aid monkeypox patients in severe financial conditions. I'm willing to pick up and bring groceries or fund meals/expenses for sick neighbors. I've seen several GoFundMe accounts, but I wish there was a centralized mechanism to link those in need with those who can help. Please contact me if you have expertise with mutual aid organizations. I hope we can start this shortly.
4. lobbying. Personal narratives are powerful. My narrative is only one, but I think it's compelling. Over the next day or so, i'll write to local, state, and federal officials about monkeypox. I wanted a vaccine but couldn't acquire one, and I feel tpoxx helped my disease. As a pharmacologist-in-training, I believe collecting data on a novel medicine is important, and there are ethical problems when making a drug with limited patient data broadly available. Many folks I know can't receive tpoxx due of red tape and a lack of contacts. People shouldn't have to go to an ivy league hospital to obtain the greatest care. Based on my experience and other people's tales, I believe tpoxx can drastically lessen monkeypox patients' pain and potentially curb transmission chains if administered early enough. This outbreak is manageable. It's not too late if we use all the instruments we have (diagnostic, vaccine, treatment).
*UPDATE 7/15: I submitted the following letter to Chuck Schumer and Kirsten Gillibrand. I've addressed identical letters to local, state, and federal officials, including the CDC and HHS.
I hope to join RESPND-MI, an LGBTQ+ community-led assessment of monkeypox symptoms and networks in NYC. Visit their website to learn more and give to this community-based charity.
How I got monkeypox is a mystery. I received it through a pride physical interaction, but i'm not sure which one. This outbreak will expand unless leaders act quickly. Until then, I'll keep educating and connecting people to care in my neighborhood.
Despite my misgivings, I see some optimism. Health department social media efforts are underway. During the outbreak, the CDC provided nonjudgmental suggestions for safer social and sexual activity. There's additional information regarding the disease course online, including how to request tpoxx for sufferers. These materials can help people advocate for themselves if they're sick. Importantly, homosexual guys are listening when they discuss about monkeypox online and irl. Learners They're serious.
The government has a terrible track record with lgtbq+ health issues, and they're not off to a good start this time. I hope this time will be better. If I can aid even one individual, I'll do so.
Thanks for reading, supporting me, and spreading awareness about the 2022 monkeypox outbreak. My dms are accessible if you want info, resources, queries, or to chat.
y'all well
kyle