More on Economics & Investing

Ray Dalio
3 years ago
The latest “bubble indicator” readings.
As you know, I like to turn my intuition into decision rules (principles) that can be back-tested and automated to create a portfolio of alpha bets. I use one for bubbles. Having seen many bubbles in my 50+ years of investing, I described what makes a bubble and how to identify them in markets—not just stocks.
A bubble market has a high degree of the following:
- High prices compared to traditional values (e.g., by taking the present value of their cash flows for the duration of the asset and comparing it with their interest rates).
- Conditons incompatible with long-term growth (e.g., extrapolating past revenue and earnings growth rates late in the cycle).
- Many new and inexperienced buyers were drawn in by the perceived hot market.
- Broad bullish sentiment.
- Debt financing a large portion of purchases.
- Lots of forward and speculative purchases to profit from price rises (e.g., inventories that are more than needed, contracted forward purchases, etc.).
I use these criteria to assess all markets for bubbles. I have periodically shown you these for stocks and the stock market.
What Was Shown in January Versus Now
I will first describe the picture in words, then show it in charts, and compare it to the last update in January.
As of January, the bubble indicator showed that a) the US equity market was in a moderate bubble, but not an extreme one (ie., 70 percent of way toward the highest bubble, which occurred in the late 1990s and late 1920s), and b) the emerging tech companies (ie. As well, the unprecedented flood of liquidity post-COVID financed other bubbly behavior (e.g. SPACs, IPO boom, big pickup in options activity), making things bubbly. I showed which stocks were in bubbles and created an index of those stocks, which I call “bubble stocks.”
Those bubble stocks have popped. They fell by a third last year, while the S&P 500 remained flat. In light of these and other market developments, it is not necessarily true that now is a good time to buy emerging tech stocks.
The fact that they aren't at a bubble extreme doesn't mean they are safe or that it's a good time to get long. Our metrics still show that US stocks are overvalued. Once popped, bubbles tend to overcorrect to the downside rather than settle at “normal” prices.
The following charts paint the picture. The first shows the US equity market bubble gauge/indicator going back to 1900, currently at the 40% percentile. The charts also zoom in on the gauge in recent years, as well as the late 1920s and late 1990s bubbles (during both of these cases the gauge reached 100 percent ).
The chart below depicts the average bubble gauge for the most bubbly companies in 2020. Those readings are down significantly.
The charts below compare the performance of a basket of emerging tech bubble stocks to the S&P 500. Prices have fallen noticeably, giving up most of their post-COVID gains.
The following charts show the price action of the bubble slice today and in the 1920s and 1990s. These charts show the same market dynamics and two key indicators. These are just two examples of how a lot of debt financing stock ownership coupled with a tightening typically leads to a bubble popping.
Everything driving the bubbles in this market segment is classic—the same drivers that drove the 1920s bubble and the 1990s bubble. For instance, in the last couple months, it was how tightening can act to prick the bubble. Review this case study of the 1920s stock bubble (starting on page 49) from my book Principles for Navigating Big Debt Crises to grasp these dynamics.
The following charts show the components of the US stock market bubble gauge. Since this is a proprietary indicator, I will only show you some of the sub-aggregate readings and some indicators.
Each of these six influences is measured using a number of stats. This is how I approach the stock market. These gauges are combined into aggregate indices by security and then for the market as a whole. The table below shows the current readings of these US equity market indicators. It compares current conditions for US equities to historical conditions. These readings suggest that we’re out of a bubble.
1. How High Are Prices Relatively?
This price gauge for US equities is currently around the 50th percentile.
2. Is price reduction unsustainable?
This measure calculates the earnings growth rate required to outperform bonds. This is calculated by adding up the readings of individual securities. This indicator is currently near the 60th percentile for the overall market, higher than some of our other readings. Profit growth discounted in stocks remains high.
Even more so in the US software sector. Analysts' earnings growth expectations for this sector have slowed, but remain high historically. P/Es have reversed COVID gains but remain high historical.
3. How many new buyers (i.e., non-existing buyers) entered the market?
Expansion of new entrants is often indicative of a bubble. According to historical accounts, this was true in the 1990s equity bubble and the 1929 bubble (though our data for this and other gauges doesn't go back that far). A flood of new retail investors into popular stocks, which by other measures appeared to be in a bubble, pushed this gauge above the 90% mark in 2020. The pace of retail activity in the markets has recently slowed to pre-COVID levels.
4. How Broadly Bullish Is Sentiment?
The more people who have invested, the less resources they have to keep investing, and the more likely they are to sell. Market sentiment is now significantly negative.
5. Are Purchases Being Financed by High Leverage?
Leveraged purchases weaken the buying foundation and expose it to forced selling in a downturn. The leverage gauge, which considers option positions as a form of leverage, is now around the 50% mark.
6. To What Extent Have Buyers Made Exceptionally Extended Forward Purchases?
Looking at future purchases can help assess whether expectations have become overly optimistic. This indicator is particularly useful in commodity and real estate markets, where forward purchases are most obvious. In the equity markets, I look at indicators like capital expenditure, or how much businesses (and governments) invest in infrastructure, factories, etc. It reflects whether businesses are projecting future demand growth. Like other gauges, this one is at the 40th percentile.
What one does with it is a tactical choice. While the reversal has been significant, future earnings discounting remains high historically. In either case, bubbles tend to overcorrect (sell off more than the fundamentals suggest) rather than simply deflate. But I wanted to share these updated readings with you in light of recent market activity.

Sofien Kaabar, CFA
2 years ago
Innovative Trading Methods: The Catapult Indicator
Python Volatility-Based Catapult Indicator
As a catapult, this technical indicator uses three systems: Volatility (the fulcrum), Momentum (the propeller), and a Directional Filter (Acting as the support). The goal is to get a signal that predicts volatility acceleration and direction based on historical patterns. We want to know when the market will move. and where. This indicator outperforms standard indicators.
Knowledge must be accessible to everyone. This is why my new publications Contrarian Trading Strategies in Python and Trend Following Strategies in Python now include free PDF copies of my first three books (Therefore, purchasing one of the new books gets you 4 books in total). GitHub-hosted advanced indications and techniques are in the two new books above.
The Foundation: Volatility
The Catapult predicts significant changes with the 21-period Relative Volatility Index.
The Average True Range, Mean Absolute Deviation, and Standard Deviation all assess volatility. Standard Deviation will construct the Relative Volatility Index.
Standard Deviation is the most basic volatility. It underpins descriptive statistics and technical indicators like Bollinger Bands. Before calculating Standard Deviation, let's define Variance.
Variance is the squared deviations from the mean (a dispersion measure). We take the square deviations to compel the distance from the mean to be non-negative, then we take the square root to make the measure have the same units as the mean, comparing apples to apples (mean to standard deviation standard deviation). Variance formula:
As stated, standard deviation is:
# The function to add a number of columns inside an array
def adder(Data, times):
for i in range(1, times + 1):
new_col = np.zeros((len(Data), 1), dtype = float)
Data = np.append(Data, new_col, axis = 1)
return Data
# The function to delete a number of columns starting from an index
def deleter(Data, index, times):
for i in range(1, times + 1):
Data = np.delete(Data, index, axis = 1)
return Data
# The function to delete a number of rows from the beginning
def jump(Data, jump):
Data = Data[jump:, ]
return Data
# Example of adding 3 empty columns to an array
my_ohlc_array = adder(my_ohlc_array, 3)
# Example of deleting the 2 columns after the column indexed at 3
my_ohlc_array = deleter(my_ohlc_array, 3, 2)
# Example of deleting the first 20 rows
my_ohlc_array = jump(my_ohlc_array, 20)
# Remember, OHLC is an abbreviation of Open, High, Low, and Close and it refers to the standard historical data file
def volatility(Data, lookback, what, where):
for i in range(len(Data)):
try:
Data[i, where] = (Data[i - lookback + 1:i + 1, what].std())
except IndexError:
pass
return Data
The RSI is the most popular momentum indicator, and for good reason—it excels in range markets. Its 0–100 range simplifies interpretation. Fame boosts its potential.
The more traders and portfolio managers look at the RSI, the more people will react to its signals, pushing market prices. Technical Analysis is self-fulfilling, therefore this theory is obvious yet unproven.
RSI is determined simply. Start with one-period pricing discrepancies. We must remove each closing price from the previous one. We then divide the smoothed average of positive differences by the smoothed average of negative differences. The RSI algorithm converts the Relative Strength from the last calculation into a value between 0 and 100.
def ma(Data, lookback, close, where):
Data = adder(Data, 1)
for i in range(len(Data)):
try:
Data[i, where] = (Data[i - lookback + 1:i + 1, close].mean())
except IndexError:
pass
# Cleaning
Data = jump(Data, lookback)
return Data
def ema(Data, alpha, lookback, what, where):
alpha = alpha / (lookback + 1.0)
beta = 1 - alpha
# First value is a simple SMA
Data = ma(Data, lookback, what, where)
# Calculating first EMA
Data[lookback + 1, where] = (Data[lookback + 1, what] * alpha) + (Data[lookback, where] * beta)
# Calculating the rest of EMA
for i in range(lookback + 2, len(Data)):
try:
Data[i, where] = (Data[i, what] * alpha) + (Data[i - 1, where] * beta)
except IndexError:
pass
return Datadef rsi(Data, lookback, close, where, width = 1, genre = 'Smoothed'):
# Adding a few columns
Data = adder(Data, 7)
# Calculating Differences
for i in range(len(Data)):
Data[i, where] = Data[i, close] - Data[i - width, close]
# Calculating the Up and Down absolute values
for i in range(len(Data)):
if Data[i, where] > 0:
Data[i, where + 1] = Data[i, where]
elif Data[i, where] < 0:
Data[i, where + 2] = abs(Data[i, where])
# Calculating the Smoothed Moving Average on Up and Down
absolute values
lookback = (lookback * 2) - 1 # From exponential to smoothed
Data = ema(Data, 2, lookback, where + 1, where + 3)
Data = ema(Data, 2, lookback, where + 2, where + 4)
# Calculating the Relative Strength
Data[:, where + 5] = Data[:, where + 3] / Data[:, where + 4]
# Calculate the Relative Strength Index
Data[:, where + 6] = (100 - (100 / (1 + Data[:, where + 5])))
# Cleaning
Data = deleter(Data, where, 6)
Data = jump(Data, lookback)
return Datadef relative_volatility_index(Data, lookback, close, where):
# Calculating Volatility
Data = volatility(Data, lookback, close, where)
# Calculating the RSI on Volatility
Data = rsi(Data, lookback, where, where + 1)
# Cleaning
Data = deleter(Data, where, 1)
return DataThe Arm Section: Speed
The Catapult predicts momentum direction using the 14-period Relative Strength Index.
As a reminder, the RSI ranges from 0 to 100. Two levels give contrarian signals:
A positive response is anticipated when the market is deemed to have gone too far down at the oversold level 30, which is 30.
When the market is deemed to have gone up too much, at overbought level 70, a bearish reaction is to be expected.
Comparing the RSI to 50 is another intriguing use. RSI above 50 indicates bullish momentum, while below 50 indicates negative momentum.
The direction-finding filter in the frame
The Catapult's directional filter uses the 200-period simple moving average to keep us trending. This keeps us sane and increases our odds.
Moving averages confirm and ride trends. Its simplicity and track record of delivering value to analysis make them the most popular technical indicator. They help us locate support and resistance, stops and targets, and the trend. Its versatility makes them essential trading tools.
This is the plain mean, employed in statistics and everywhere else in life. Simply divide the number of observations by their total values. Mathematically, it's:
We defined the moving average function above. Create the Catapult indication now.
Indicator of the Catapult
The indicator is a healthy mix of the three indicators:
The first trigger will be provided by the 21-period Relative Volatility Index, which indicates that there will now be above average volatility and, as a result, it is possible for a directional shift.
If the reading is above 50, the move is likely bullish, and if it is below 50, the move is likely bearish, according to the 14-period Relative Strength Index, which indicates the likelihood of the direction of the move.
The likelihood of the move's direction will be strengthened by the 200-period simple moving average. When the market is above the 200-period moving average, we can infer that bullish pressure is there and that the upward trend will likely continue. Similar to this, if the market falls below the 200-period moving average, we recognize that there is negative pressure and that the downside is quite likely to continue.
lookback_rvi = 21
lookback_rsi = 14
lookback_ma = 200
my_data = ma(my_data, lookback_ma, 3, 4)
my_data = rsi(my_data, lookback_rsi, 3, 5)
my_data = relative_volatility_index(my_data, lookback_rvi, 3, 6)Two-handled overlay indicator Catapult. The first exhibits blue and green arrows for a buy signal, and the second shows blue and red for a sell signal.
The chart below shows recent EURUSD hourly values.
def signal(Data, rvi_col, signal):
Data = adder(Data, 10)
for i in range(len(Data)):
if Data[i, rvi_col] < 30 and \
Data[i - 1, rvi_col] > 30 and \
Data[i - 2, rvi_col] > 30 and \
Data[i - 3, rvi_col] > 30 and \
Data[i - 4, rvi_col] > 30 and \
Data[i - 5, rvi_col] > 30:
Data[i, signal] = 1
return DataSignals are straightforward. The indicator can be utilized with other methods.
my_data = signal(my_data, 6, 7)Lumiwealth shows how to develop all kinds of algorithms. I recommend their hands-on courses in algorithmic trading, blockchain, and machine learning.
Summary
To conclude, my goal is to contribute to objective technical analysis, which promotes more transparent methods and strategies that must be back-tested before implementation. Technical analysis will lose its reputation as subjective and unscientific.
After you find a trading method or approach, follow these steps:
Put emotions aside and adopt an analytical perspective.
Test it in the past in conditions and simulations taken from real life.
Try improving it and performing a forward test if you notice any possibility.
Transaction charges and any slippage simulation should always be included in your tests.
Risk management and position sizing should always be included in your tests.
After checking the aforementioned, monitor the plan because market dynamics may change and render it unprofitable.

Wayne Duggan
3 years ago
What An Inverted Yield Curve Means For Investors
The yield spread between 10-year and 2-year US Treasury bonds has fallen below 0.2 percent, its lowest level since March 2020. A flattening or negative yield curve can be a bad sign for the economy.
What Is An Inverted Yield Curve?
In the yield curve, bonds of equal credit quality but different maturities are plotted. The most commonly used yield curve for US investors is a plot of 2-year and 10-year Treasury yields, which have yet to invert.
A typical yield curve has higher interest rates for future maturities. In a flat yield curve, short-term and long-term yields are similar. Inverted yield curves occur when short-term yields exceed long-term yields. Inversions of yield curves have historically occurred during recessions.
Inverted yield curves have preceded each of the past eight US recessions. The good news is they're far leading indicators, meaning a recession is likely not imminent.
Every US recession since 1955 has occurred between six and 24 months after an inversion of the two-year and 10-year Treasury yield curves, according to the San Francisco Fed. So, six months before COVID-19, the yield curve inverted in August 2019.
Looking Ahead
The spread between two-year and 10-year Treasury yields was 0.18 percent on Tuesday, the smallest since before the last US recession. If the graph above continues, a two-year/10-year yield curve inversion could occur within the next few months.
According to Bank of America analyst Stephen Suttmeier, the S&P 500 typically peaks six to seven months after the 2s-10s yield curve inverts, and the US economy enters recession six to seven months later.
Investors appear unconcerned about the flattening yield curve. This is in contrast to the iShares 20+ Year Treasury Bond ETF TLT +2.19% which was down 1% on Tuesday.
Inversion of the yield curve and rising interest rates have historically harmed stocks. Recessions in the US have historically coincided with or followed the end of a Federal Reserve rate hike cycle, not the start.
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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

Tomas Pueyo
2 years ago
Soon, a Starship Will Transform Humanity
SpaceX's Starship.
Launched last week.
Four minutes in:
SpaceX will succeed. When it does, its massiveness will matter.
Its payload will revolutionize space economics.
Civilization will shift.
We don't yet understand how this will affect space and Earth culture. Grab it.
The Cost of Space Transportation Has Decreased Exponentially
Space launches have increased dramatically in recent years.
We mostly send items to LEO, the green area below:
SpaceX's reusable rockets can send these things to LEO. Each may launch dozens of payloads into space.
With all these launches, we're sending more than simply things to space. Volume and mass. Since the 1980s, launching a kilogram of payload to LEO has become cheaper:
One kilogram in a large rocket cost over $75,000 in the 1980s. Carrying one astronaut cost nearly $5M! Falcon Heavy's $1,500/kg price is 50 times lower. SpaceX's larger, reusable rockets are amazing.
SpaceX's Starship rocket will continue. It can carry over 100 tons to LEO, 50% more than the current Falcon heavy. Thousands of launches per year. Elon Musk predicts Falcon Heavy's $1,500/kg cost will plummet to $100 in 23 years.
In context:
People underestimate this.
2. The Benefits of Affordable Transportation
Compare Earth's transportation costs:
It's no surprise that the US and Northern Europe are the wealthiest and have the most navigable interior waterways.
So what? since sea transportation is cheaper than land. Inland waterways are even better than sea transportation since weather is less of an issue, currents can be controlled, and rivers serve two banks instead of one for coastal transportation.
In France, because population density follows river systems, rivers are valuable. Cheap transportation brought people and money to rivers, especially their confluences.
How come? Why were humans surrounding rivers?
Imagine selling meat for $10 per kilogram. Transporting one kg one kilometer costs $1. Your margin decreases $1 each kilometer. You can only ship 10 kilometers. For example, you can only trade with four cities:
If instead, your cost of transportation is half, what happens? It costs you $0.5 per km. You now have higher margins with each city you traded with. More importantly, you can reach 20-km markets.
However, 2x distance 4x surface! You can now trade with sixteen cities instead of four! Metcalfe's law states that a network's value increases with its nodes squared. Since now sixteen cities can connect to yours. Each city now has sixteen connections! They get affluent and can afford more meat.
Rivers lower travel costs, connecting many cities, which can trade more, get wealthy, and buy more.
The right network is worth at least an order of magnitude more than the left! The cheaper the transport, the more trade at a lower cost, the more income generated, the more that wealth can be reinvested in better canals, bridges, and roads, and the wealth grows even more.
Throughout history. Rome was established around cheap Mediterranean transit and preoccupied with cutting overland transportation costs with their famous roadways. Communications restricted their empire.
The Egyptians lived around the Nile, the Vikings around the North Sea, early Japan around the Seto Inland Sea, and China started canals in the 5th century BC.
Transportation costs shaped empires.Starship is lowering new-world transit expenses. What's possible?
3. Change Organizations, Change Companies, Change the World
Starship is a conveyor belt to LEO. A new world of opportunity opens up as transportation prices drop 100x in a decade.
Satellite engineers have spent decades shedding milligrams. Weight influenced every decision: pricing structure, volumes to be sent, material selections, power sources, thermal protection, guiding, navigation, and control software. Weight was everything in the mission. To pack as much science into every millimeter, NASA missions had to be miniaturized. Engineers were indoctrinated against mass.
No way.
Starship is not constrained by any space mission, robotic or crewed.
Starship obliterates the mass constraint and every last vestige of cultural baggage it has gouged into the minds of spacecraft designers. A dollar spent on mass optimization no longer buys a dollar saved on launch cost. It buys nothing. It is time to raise the scope of our ambition and think much bigger. — Casey Handmer, Starship is still not understood
A Tesla Roadster in space makes more sense.
It went beyond bad PR. It told the industry: Did you care about every microgram? No more. My rockets are big enough to send a Tesla without noticing. Industry watchers should have noticed.
Most didn’t. Artemis is a global mission to send astronauts to the Moon and build a base. Artemis uses disposable Space Launch System rockets. Instead of sending two or three dinky 10-ton crew habitats over the next decade, Starship might deliver 100x as much cargo and create a base for 1,000 astronauts in a year or two. Why not? Because Artemis remains in a pre-Starship paradigm where each kilogram costs a million dollars and we must aggressively descope our objective.
Space agencies can deliver 100x more payload to space for the same budget with 100x lower costs and 100x higher transportation volumes. How can space economy saturate this new supply?
Before Starship, NASA supplied heavy equipment for Moon base construction. After Starship, Caterpillar and Deere may space-qualify their products with little alterations. Instead than waiting decades for NASA engineers to catch up, we could send people to build a space outpost with John Deere equipment in a few years.
History is littered with the wreckage of former industrial titans that underestimated the impact of new technology and overestimated their ability to adapt: Blockbuster, Motorola, Kodak, Nokia, RIM, Xerox, Yahoo, IBM, Atari, Sears, Hitachi, Polaroid, Toshiba, HP, Palm, Sony, PanAm, Sega, Netscape, Compaq, GM… — Casey Handmer, Starship is still not understood
Everyone saw it coming, but senior management failed to realize that adaption would involve moving beyond their established business practice. Others will if they don't.
4. The Starship Possibilities
It's Starlink.
SpaceX invented affordable cargo space and grasped its implications first. How can we use all this inexpensive cargo nobody knows how to use?
Satellite communications seemed like the best way to capitalize on it. They tried. Starlink, designed by SpaceX, provides fast, dependable Internet worldwide. Beaming information down is often cheaper than cable. Already profitable.
Starlink is one use for all this cheap cargo space. Many more. The longer firms ignore the opportunity, the more SpaceX will acquire.
What are these chances?
Satellite imagery is outdated and lacks detail. We can improve greatly. Synthetic aperture radar can take beautiful shots like this:
Have you ever used Google Maps and thought, "I want to see this in more detail"? What if I could view Earth live? What if we could livestream an infrared image of Earth?
We could launch hundreds of satellites with such mind-blowing visual precision of the Earth that we would dramatically improve the accuracy of our meteorological models; our agriculture; where crime is happening; where poachers are operating in the savannah; climate change; and who is moving military personnel where. Is that useful?
What if we could see Earth in real time? That affects businesses? That changes society?

Dani Herrera
3 years ago
What prevents companies from disclosing salary information?
Yes, salary details ought to be mentioned in job postings. Recruiters and candidates both agree, so why doesn't it happen?
The short answer is “Unfortunately, it’s not the Recruiter’s decision”. The longer answer is well… A LOT.
Starting in November 2022, NYC employers must include salary ranges in job postings. It should have started in May, but companies balked.
I'm thrilled about salary transparency. This decision will promote fair, inclusive, and equitable hiring practices, and I'm sure other states will follow suit. Good news!
Candidates, recruiters, and ED&I practitioners have advocated for pay transparency for years. Why the opposition?
Let's quickly review why companies have trouble sharing salary bands.
💰 Pay Parity
Many companies and leaders still oppose pay parity. Yes, even in 2022.
💰 Pay Equity
Many companies believe in pay parity and have reviewed their internal processes and systems to ensure equality.
However, Pay Equity affects who gets roles/promotions/salary raises/bonuses and when. Enter the pay gap!
💰Pay Transparency and its impact on Talent Retention
Sharing salary bands with external candidates (and the world) means current employees will have access to that information, which is one of the main reasons companies don't share salary data.
If a company has Pay Parity and Pay Equity issues, they probably have a Pay Transparency policy as well.
Sharing salary information with external candidates without ensuring current employees understand their own salary bands and how promotions/raises are decided could impact talent retention strategies.
This information should help clarify recent conversations.