Summary: My son was stillborn and I don't know why. My wife and I would like to have another child, but would very much not like to try if the probability of this occurring again is above a certain threshold (of which we have already settled on one). All 3 doctors I have consulted were unable to give a definitive cause of death, nor were any willing to give a numerical estimate of the probability (whether for reasons of legal risk, or something else) that our next baby will be stillborn. I am likely too mind-killed to properly evaluate my situation and would very much appreciate an independent (from mine) probability estimate of what caused my son to die, and given that cause, what is the recurrence risk?

Background: V (L and my only biologically related living son) had no complications during birth, nor has he showed any signs of poor health whatsoever. L has a cousin who has had two miscarriages, and I have an aunt who had several stillbirths followed by 3 live births of healthy children. We know of no other family members that have had similar misfortunes.

J (my deceased son) was the product of a 31 week gestation. L (my wife and J's mother) is 28 years old, gravida 2, para 1. L presented to the physicians office for routine prenatal care and noted that she had not felt any fetal movement for the last five to six days. No fetal heart tones were identified. It was determined that there was an intrauterine fetal demise. L was admitted on 11/05/2015 for induction and was delivered of a nonviable, normal appearing, male fetus at approximately 1:30 on 11/06/2015.

Pro-Con Reasoning: According to a leading obstetrics textbook¹, causes of stillbirth are commonly classified into 8 categories: obstetrical complications, placental abnormalities, fetal malformations, infection, umbilical cord abnormalities, hypertensive disorders, medical complications, and undetermined. Below, I'll list the percentage of stillbirths in each category (which may be used as prior probabilities) along with some reasons for or against.

Obstetrical complications (29%)

• Against: No abruption detected. No multifetal gestation. No ruptured preterm membranes at 20-24 weeks.

Placental abnormalities (24%)

• For: Excessive fibrin deposition (as concluded in the surgical pathology report). Early acute chorioamnionitis (as conclused in the surgical pathology report, but Dr. M claimed this was caused by the baby's death, not conversely). L has gene variants associated with deep vein thrombosis (AG on rs2227589 per 23andme raw data).
• Against: No factor V Leiden mutation (GG on rs6025 per 23andme raw data and confirmed via independent lab test). No prothrombin gene mutation (GG on l3002432 per 23andme raw data and confirmed via independent lab test). L was negative for prothrombin G20210A mutation (as determined by lab test). Anti-thrombin III activity results were within normal reference ranges (as determined by lab test). Protein C activity results were withing normal reference ranges (as determined by lab test). Protein S activity results were within normal reference ranges (as determined by lab test). Protein S antigen (free and total) results were within normal references ranges (as determined by lab test).

Infection (13%)

• For: L visited a nurse's home during the last week of August that works in a hospital we now know had frequent cases of CMV infection. CMV antibody IgH, CMV IgG, and Parvovirus B-19 Antibody IgG values were outside of normal reference ranges.
• Against: Dr. M discounted the viral test results as the cause of death, since the levels suggested the infection had occurred years ago, and therefore could not have caused J's death. Dr. F confirmed Dr. M's assessment.

Fetal malformations (14%)

• Against: No major structural abnormalities. No genetic abnormalities detected (CombiSNP Array for Pregnancy Loss results showed a normal male micro array profile).

Umbilical cord abnormalities (10%)

• Against: No prolapse. No stricture. No thrombosis.

Hypertensive disorder (9%)

• Against: No preeclampsia. No chronic hypertension.

Medical complications (8%)

• For: L experienced 2 nights of very painful abdominal pains that could have been contractions on 10/28 and 10/29. L remembers waking up on her back a few nights between 10/20 and 11/05 (it is unclear if this belongs in this category or somewhere else).
• Against: No antiphospholipid antibody syndrome detected (determined via Beta-2 Glycoprotein I Antibodies [IgG, IgA, IgM] test). No maternal diabetes detected (determined via glucose test on 10/20).

Undetermined (24%)

What is the most likely cause of death? How likely is that cause? Given that cause, if we choose to have another child, then how likely is it to survive its birth? Are there any other ways I could reduce uncertainty (additional tests, etc...) that I haven't listed here? Are there any other forums where these questions are more likely to get good answers? Why won't doctors give probabilities? Help with any of these questions would be greatly appreciated. Thank you.

If your advice to me is to consult another expert (in addition to the 2 obstetricians and 1 high-risk obstetrician I already have consulted), please also provide concrete tactics as to how to find such an expert and validate their expertise.

Contact Information: If you would like to contact me, but don't want to create an account here, you can do so at deprimita.patro@gmail.com.

^{[1] Cunningham, F. (2014). Williams obstetrics. New York: McGraw-Hill Medical.}

EDIT 1: Updated to make clear that both V and J are mine and L's biological sons.

EDIT 2: Updated to add information on family history.

EDIT 3: On PipFoweraker's advice, I added contact info.

EDIT 4: I've cross-posted this on Health Stack Exchange.

EDIT 5: I've emailed the list of authors of the most recent meta-analysis concerning causes of stillbirth. Don't expect much.

Recently, someone on the Facebook page asked if anyone had used rationality to target anxieties.  I have, so I thought I’d share my LessWrong-inspired strategies.  This is my first post, so feedback and formatting help are welcome.  

First things first: the techniques developed by this community are not a panacea for mental illness.  They are way more effective than chance and other tactics at reducing normal bias, and I think many mental illnesses are simply cognitive biases that are extreme enough to get noticed.  In other words, getting a probability question about cancer systematically wrong does not disrupt my life enough to make the error obvious.  When I believe (irrationally) that I will get fired because I asked for help at work, my life is disrupted.  I become non-functional, and the error is clear.

Second: the best way to attack anxiety is to do the things that make your anxieties go away.  That might seem too obvious to state, but I’ve definitely been caught in an “analysis loop,” where I stay up all night reading self-help guides only to find myself non-functional in the morning because I didn’t sleep.  If you find that attacking an anxiety with Bayesian updating is like chopping down the Washington monument with a spoon, but getting a full night’s sleep makes the monument disappear completely, consider the sleep.  Likewise for techniques that have little to no scientific evidence, but are a good placebo.  A placebo effect is still an effect.

Finally, like all advice, this comes with Implicit Step Zero:  “Have enough executive function to give this a try.”  If you find yourself in an analysis loop, you may not yet have enough executive function to try any of the advice you read.  The advice for functioning better is not always identical to the advice for functioning at all.  If there’s interest in an “improving your executive function” post, I’ll write one eventually.  It will be late, because my executive function is not impeccable.

Simple updating is my personal favorite for attacking specific anxieties.  A general sense of impending doom is a very tricky target and does not respond well to reality.  If you can narrow it down to a particular belief, however, you can amass evidence against it. 

Returning to my example about work: I alieved that I would get fired if I asked for help or missed a day due to illness.  The distinction between believe and alieve is an incredibly useful tool that I immediately integrated when I heard of it.  Learning to make beliefs pay rent is much easier than making harmful aliefs go away.  The tactics are similar: do experiments, make predictions, throw evidence at the situation until you get closer to reality.  Update accordingly.  

The first thing I do is identify the situation and why it’s dysfunctional.  The alief that I’ll get fired for asking for help is not actually articulated when it manifests as an anxiety.  Ask me in the middle of a panic attack, and I still won’t articulate that I am afraid of getting fired.  So I take the anxiety all the way through to its implication.  The algorithm is something like this:

1.       Notice sense of doom
2.       Notice my avoidance behaviors (not opening my email, walking away from my desk)
3.       Ask “What am I afraid of?”
4.       Answer (it's probably silly)
5.       Ask “What do I think will happen?”
6.       Make a prediction about what will happen (usually the prediction is implausible, which is why we want it to go away in the first place)

In the “asking for help” scenario, the answer to “what do I think will happen” is implausible.  It’s extremely unlikely that I’ll get fired for it!  This helps take the gravitas out of the anxiety, but it does not make it go away.*  After (6), it’s usually easy to do an experiment.  If I ask my coworkers for help, will I get fired?  The only way to know is to try. 

…That’s actually not true, of course.  A sense of my environment, my coworkers, and my general competence at work should be enough.  But if it was, we wouldn’t be here, would we?

So I perform the experiment.  And I wait.  When I receive a reply of any sort, even if it’s negative, I make a tick mark on a sheet of paper.  I label it “didn’t get fired.”  Because again, even if it’s negative, I didn’t get fired. 

This takes a lot of tick marks.  Cutting down the Washington monument with a spoon, remember?

The tick marks don’t have to be physical.  I prefer it, because it makes the “updating” process visual.  I’ve tried making a mental note and it’s not nearly as effective.  Play around with it, though.  If you’re anything like me, you have a lot of anxieties to experiment with. 

Usually, the anxiety starts to dissipate after obtaining several tick marks.  Ideally, one iteration of experiments should solve the problem.  But we aren’t ideal; we’re mentally ill.  Depending on the severity of the anxiety, you may need someone to remind you that doom will not occur.  I occasionally panic when I have to return to work after taking a sick day.  I ask my husband to remind me that I won’t get fired.  I ask him to remind me that he’ll still love me if I do get fired.  If this sounds childish, it’s because it is.  Again: we’re mentally ill.  Even if you aren’t, however, assigning value judgements to essentially harmless coping mechanisms does not make sense.  Childish-but-helpful is much better than mature-and-harmful, if you have to choose.

I still have tiny ugh fields around my anxiety triggers.  They don’t really go away.  It’s more like learning not to hit someone you’re angry at.  You notice the impulse, accept it, and move on.  Hopefully, your harmful alief starves to death.

If you perform your experiment and doom does occur, it might not be you.  If you can’t ask your boss for help, it might be your boss.  If you disagree with your spouse and they scream at you for an hour, it might be your spouse.  This isn’t an excuse to blame your problems on the world, but abusive situations can be sneaky.  Ask some trusted friends for a sanity check, if you’re performing experiments and getting doom as a result.  This is designed for situations where your alief is obviously silly.  Where you know it’s silly, and need to throw evidence at your brain to internalize it.  It’s fine to be afraid of genuinely scary things; if you really are in an abusive work environment, maybe you shouldn’t ask for help (and start looking for another job instead). 

*using this technique for several months occasionally stops the anxiety immediately after step 6.  

Most discussion of uploading talks of uploading from the inside out: simply, a biological person undergoes a disruptive procedure which digitises their mind. The digital mind then continues the person’s timeline as a digital existence, with all that entails.

The thing that stands out here is the disruptive nature of the process from biological to digital being. It is not only a huge step to undergo such a transformation, but few things in reality operate in such binary terms. More commonly, things happen gradually.

Being an entrepreneur and also having a keen interest in the future, I both respect audacious visions, and study how they come to be realised. Very rarely does progress come from someone investing a bunch of resources in a black-box process that ends in a world-changing breakthrough. Much more commonly, massive innovations are realised through a process of iteration and exploration, fueled by a need that motivates people to solve thousands of problems, big and small. Massive trends interact with other innovations to open up opportunities that when exploited cause a further acceleration of innovation. Every successful startup and technology, from Facebook to Tesla and from mobile phones to modern medicine can be understood in these terms.

With this lens in mind, how might uploading be realised? This is one potential timeline, barring AI explosion or existential catastrophy.

It is perhaps useful to explore the notion of “above/below the API”. A slew of companies have formed, often called “Uber for X” or “AirBnB for Y”, solving needs we have, through a computer system, such as a laptop or a mobile phone app. The app might issue a call to a server via an API, and that server may delegate the task to some other system, often powered by other humans. The original issuer of the command then gets their need covered, minimising direct contact with other humans, the traditional way of having our needs covered. It is crucial to understand that API-mediated interactions win because they are superior to their traditional alternative. Once they were possible, it was only natural for them to proliferate. As an example, compare the experience of taking a taxi with using Uber.

And so computer systems are inserted between human-to-human interactions. This post is composed on a computer, through which I will publish it in a digital location, where it might be seen by others. If I am to hear their response to it, it will also be mediated by APIs. Whenever a successful new API is launched, fortunes are made and lost. An entire industry, venture capital, exists to fund efforts to bring new APIs into existence, each new API making life easier for its users than what came before, and adding additional API layers.

As APIs flood interpersonal space, humans gain superpowers. Presence is less and less important, and a person anywhere in the connected world can communicate and effect change anywhere else. And with APIs comes control of personal space and time. Personal safety increases both by decreasing random physical contact and by always being connected to others who can send help if something goes wrong. The demand for connectivity and computation is driving networking everywhere, and the cost of hardware to fall through the floor.

Given the trends that are in motion, what’s next? Well, if computer-mediated experience is increasing, it might grow to the point where every interaction a human has with the world around them will be mediated by computers. If this sounds absurd, think of noise-cancelling headphones. Many of us now use them not to listen to music, but to block the sound from our environment. Or consider augmented reality. If the visual field, the data pipeline of the brain, can be used to provide critical, or entertaining, context about the physical environment, who would want to forego it? Consider biofeedback: if it’s easy to know at all times what is happening within our bodies and prevent things from going wrong, who wouldn’t want to? It’s not a question of whether these needs exist, but of when technology will be able to cover them.

Once most interaction is API-mediated, the digital world switches from opt-in to opt-out. It’s not a matter of turning the laptop on, but of turning it off for a while, perhaps to enjoy a walk in nature, or for a repair. But wouldn’t you want to bring your augmented reality goggles that can tell you the story of each tree, and ensure you’re not exposed to any pathogens as you wander in the biological jungle? As new generations grow up in a computer-mediated world, fewer and fewer excursions into the offline will happen. Technology, after all, is what was invented after you were born. Few of us consider hunting and gathering our food or living in caves to be a romantic return to the past. When we take a step backward, perhaps to signal virtue, like foregoing vaccination or buying locally grown food, we make sure our move will not deprive us of the benefits of the modern world.

Somewhere around the time when APIs close the loop around us or even before then, the human body will begin to be modified. Artificial limbs that are either plainly superior to their biological counterparts, or better adapted to that world will make sense, and brain-computer interfaces (whether direct or via the existing senses) will become ever more permanent. As our bodies are replaced with mechanical parts, the brain will come next. Perhaps certain simple parts will be easy to replace with more durable, better performing ones. Intelligence enhancement will finally be possible by adding processing power natural selection alone could never have evolved. Gradually, step by small step, the last critical biological components will be removed, as a final cutting of the cord with the physical world.

Humans will have digitised themselves, not by inventing a machine that takes flesh as input and outputs ones and zeroes, not by cyberpunk pioneers jumping into an empty digital world to populate it. We will have done it by making incremental choices, each one a sound rational decision that was in hindsight inevitable, incorporating inventions that made sense, and in the end it will be unclear when the critical step was made. We will have uploaded ourselves simply in the course of everyday life.

• Why I Grew Skeptical of Transhumanism
• Why I Grew Skeptical of Immortalism
• Why I Grew Skeptical of Effective Altruism
• Only Game in Town

Wonderland’s rabbit said it best: The hurrier I go, the behinder I get.

We approach 2016, and the more I see light, the more I see brilliance popping everywhere, the Effective Altruism movement growing, TEDs and Elons spreading the word, the more we switch our heroes in the right direction, the behinder I get. But why? - you say.

Clarity, precision, I am tempted to reply. I have left the intellectual suburbs of Brazil, straight into the strongest hub of production of things that matter, The Bay Area, via Oxford’s FHI office, I now split my time between UC Berkeley, and the CFAR/MIRI office. In the process, I have navigated an ocean of information, read hundreds of books, papers, saw thousands of classes, became proficient in a handful of languages and a handful of intellectual disciplines. I’ve visited the Olympus and I met our living demigods in person as well.

Against the overwhelming forces of an extremely upbeat personality surfing a hyper base-level happiness, these three forces: approaching the center, learning voraciously, and meeting the so-called heroes, have brought me to the current state of pessimism.

I was a transhumanist, an immortalist, and an effective altruist.

Why I Grew Skeptical of Transhumanism

The transhumanist in me is skeptical of technological development fast enough for improving the human condition to be worth it now, he sees most technologies as fancy toys that don’t get us there. Our technologies can’t and won’t for a while lead our minds to peaks anywhere near the peaks we found by simply introducing weirdly shaped molecules into our brains. The strangeness of Salvia, the beauty of LSD, the love of MDMA are orders and orders of magnitude beyond what we know how to change from an engineering perspective. We can induce a rainbow, but we don’t even have the concept of force yet. Our knowledge about the brain, given our goals about the brain, is at the level of knowledge of physics of someone who found out that spraying water on a sunny day causes the rainbow. It’s not even physics yet.

Believe me, I have read thousands of pages of papers in the most advanced topics in cognitive neuroscience, my advisor spent his entire career, from Harvard to Tenure, doing neuroscience, and was the first person to implant neurons that actually healed a brain to the point of recovering functionality by using non-human neurons. As Marvin Minsky, who invented the multi-agent computational theory of mind, told me: I don’t recommend entering a field where every four years all knowledge is obsolete, they just don’t know it yet.

Why I Grew Skeptical of Immortalism

The immortalist in me is skeptical because he understands the complexity of biology from conversations with the centimillionaires and with the chief scientists of anti-aging research facilities worldwide, he met the bio-startup founders and gets that the structure of incentives does not look good for bio-startups anyway, so although he was once very excited about the prospect of defeating the mechanisms of ageing, back when less than 300 thousand dollars were directly invested in it, he is now, with billions pledged against ageing, confident that the problem is substantially harder to surmount than the number of man-hours left to be invested in the problem, at least during my lifetime, or before the Intelligence Explosion.

Believe me, I was the first cryonicist among the 200 million people striding my country, won a prize for anti-ageing research at the bright young age of 17, and hang out on a regular basis with all the people in this world who want to beat death that still share in our privilege of living, just in case some new insight comes that changes the tides, but none has come in the last ten years, as our friend Aubrey will be keen to tell you in detail.

Why I Grew Skeptical of Effective Altruism

The Effective Altruist is skeptical too, although less so, I’m still founding an EA research institute, keeping a loving eye on the one I left behind, living with EAs, working at EA offices and mostly broadcasting ideas and researching with EAs. Here are some problems with EA which make me skeptical after being shook around by the three forces:

1. The Status Games: Signalling, countersignalling, going one more meta-level up, outsmarting your opponent, seeing others as opponents, my cause is the only true cause, zero-sum mating scarcity, pretending that poly eliminates mating scarcity, founders X joiners, researchers X executives, us institutions versus them institutions, cheap individuals versus expensive institutional salaries, it's gore all the way up and down.

2. Reasoning by Analogy: Few EAs are able to and doing their due intellectual diligence. I don’t blame them, the space of Crucial Considerations is not only very large, but extremely uncomfortable to look at, who wants to know our species has not even found the stepping stones to make sure that what matters is preserved and guaranteed at the end of the day? It is a hefty ordeal. Nevertheless, it is problematic that fewer than 20 EAs (one in 300?) are actually reasoning from first principles, thinking all things through from the very beginning. Most of us are looking away from at least some philosophical assumption or technological prediction. Most of us are cooks and not yet chefs. Some of us have not even waken up yet.

3. Babies with a Detonator: Most EAs still carry their transitional objects around, clinging desperately to an idea or a person they think more guaranteed to be true, be it hardcore patternism about philosophy of mind, global aggregative utilitarianism, veganism, or the expectation of immortality.

4. The Size of the Problem: No matter if you are fighting suffering, Nature, Chronos (death), Azathoth (evolutionary forces) or Moloch (deranged emergent structures of incentives), the size of the problem is just tremendous. One completely ordinary reason to not want to face the problem, or to be in denial, is the problem’s enormity.

5. The Complexity of The Solution: Let me spell this out, the nature of the solution is not simple in the least. It’s possible that we luck out and it turns out the Orthogonality Thesis and the Doomsday Argument and Mind Crime are just philosophical curiosities that have no practical bearing in our earthly engineering efforts, that the AGI or Emulation will by default fall into an attractor basin which implements some form of MaxiPok with details that it only grasps after CEV or the Crypto, and we will be Ok. It is possible, and it is more likely than that our efforts will end up being the decisive factor. We need to focus our actions in the branches where they matter though.

6. The Nature of the Solution: So let’s sit down side by side and stare at the void together for a bit. The nature of the solution is getting a group of apes who just invented the internet from everywhere around the world, and get them to coordinate an effort that fills in the entire box of Crucial Considerations yet unknown - this is the goal of Convergence Analysis, by the way - find every single last one of them to the point where the box is filled, then, once we have all the Crucial Considerations available, develop, faster than anyone else trying, a translation scheme that translates our values to a machine or emulation, in a physically sound and technically robust way (that’s if we don’t find a Crucial Consideration otherwise which, say, steers our course towards Mars). Then we need to develop the engineering prerequisites to implement a thinking being smarter than all our scientists together who can reflect philosophically better than the last two thousand years of effort while becoming the most powerful entity in the universe’s history, that will fall into the right attractor basin within mindspace. That’s if Superintelligences are even possible technically. Add to that we or it have to guess correctly all the philosophical problems that are A)Relevant B)Unsolvable within physics (if any) or by computers, all of this has to happen while the most powerful corporations, States, armies and individuals attempt to seize control of the smart systems themselves. without being curtailed by the hindrance counter incentive of not destroying the world either because they don’t realize it, or because the first mover advantage seems worth the risk, or because they are about to die anyway so there’s not much to lose.

7. How Large an Uncertainty: Our uncertainties loom large. We have some technical but not much philosophical understanding of suffering, and our technical understanding is insufficient to confidently assign moral status to other entities, specially if they diverge in more dimensions than brain size and architecture. We’ve barely scratched the surface of technical understanding on happiness increase, and philosophical understanding is also in its first steps.

8. Macrostrategy is Hard: A Chess Grandmaster usually takes many years to acquire sufficient strategic skill to command the title. It takes a deep and profound understanding of unfolding structures to grasp how to beam a message or a change into the future. We are attempting to beam a complete value lock-in in the right basin, which is proportionally harder.

9. Probabilistic Reasoning = Reasoning by Analogy: We need a community that at once understands probability theory, doesn’t play reference class tennis, and doesn’t lose motivation by considering the base rates of other people trying to do something, because the other people were cooks, not chefs, and also because sometimes you actually need to try a one in ten thousand chance. But people are too proud of their command of Bayes to let go of the easy chance of showing off their ability to find mathematically sound reasons not to try.

10. Excessive Trust in Institutions: Very often people go through a simplifying set of assumptions that collapses a brilliant idea into an awful donation, when they reason:
    I have concluded that cause X is the most relevant
    Institution A is an EA organization fighting for cause X
    Therefore I donate to institution A to fight for cause X.
    To begin with, this is very expensive compared to donating to any of the three P’s: projects, people or prizes. Furthermore, the crucial points to fund institutions are when they are about to die, just starting, or building a type of momentum that has a narrow window of opportunity where the derivative gains are particularly large or you have private information about their current value. To agree with you about a cause being important is far from sufficient to assess the expected value of your donation.

11. Delusional Optimism: Everyone who like past-me moves in with delusional optimism will always have a blind spot in the feature of reality about which they are in denial. It is not a problem to have some individuals with a blind spot, as long as the rate doesn’t surpass some group sanity threshold, yet, on an individual level, it is often the case that those who can gaze into the void a little longer than the rest end up being the ones who accomplish things. Staring into the void makes people show up.

12. Convergence of opinions may strengthen separation within EA:  Thus far, the longer someone is an EA for, the more likely they are to transition to an opinion in the subsequent boxes in this flowchart from whichever box they are at at the time. There are still people in all the opinion boxes, but the trend has been to move in that flow. Institutions however have a harder time escaping being locked into a specific opinion. As FHI moves deeper into AI, and GWWC into poverty, 80k into career selection etc… they become more congealed. People’s opinions are still changing, and some of the money follows, but institutions are crystallizing into some opinions, and in the future they might prevent transition between opinion clusters and free mobility of individuals, like national frontiers already do. Once institutions, which in theory are commanded by people who agree with institutional values, notice that their rate of loss towards the EA movement is higher than their rate of gain, they will have incentives to prevent the flow of talent, ideas and resources that has so far been a hallmark of Effective Altruism and why many of us find it impressive, it’s being an intensional movement. Any part that congeals or becomes extensional will drift off behind, and this may create unsurmountable separation between groups that want to claim ‘EA’ for themselves.

Only Game in Town

The reasons above have transformed a pathological optimist into a wary skeptical about our future, and the value of our plans to get there. And yet, I don’t see other option than to continue the battle. I wake up in the morning and consider my alternatives: Hedonism, well, that is fun for a while, and I could try a quantitative approach to guarantee maximal happiness over the course of the 300 000 hours I have left. But all things considered, anyone reading this is already too close to the epicenter of something that can become extremely important and change the world to have the affordance to wander off indeterminately. I look at my high base-happiness and don’t feel justified in maximizing it up to the point of no marginal return, there clearly is value elsewhere than here (points inwards), clearly the self of which I am made has strong altruistic urges anyway, so at least above a threshold of happiness, has reason to purchase the extremely good deals in expected value happiness of others that seem to be on the market. Other alternatives? Existentialism? Well, yes, we always have a fundamental choice and I feel the thrownness into this world as much as any Kierkegaard does. Power? When we read Nietzsche it gives that fantasy impression that power is really interesting and worth fighting for, but at the end of the day we still live in a universe where the wealthy are often reduced to having to spend their power in pathetic signalling games and zero sum disputes or coercing minds to act against their will. Nihilism and Moral Fictionalism, like Existentialism all collapse into having a choice, and if I have a choice my choice is always going to be the choice to, most of the time, care, try and do.

Ideally, I am still a transhumanist and an immortalist. But in practice, I have abandoned those noble ideals, and pragmatically only continue to be an EA.

It is the only game in town.

This is a short post to say that I have started and am managing a Slack channel for lesswrong.

Slack has only an email-invite option which means that I need an email address for anyone who wants to join.  Send me a PM with your email address if you are interested in joining.

There is a web interface and a mobile app that is better than google hangouts.

If you are interested in joining; consider this one requirement:

• You must be willing to be charitable in your conversations with your fellow lesswrongers.

To be clear; This means (including but not limited to);

• Steelman not strawman of discussion
• Respect of others
• patience

• an aim for productive conversations, to make progress on our lives.
• a brains trust for life-advice in all kinds of areas where, "outsource this decision to others" is an effective strategy.
• collaborative creation of further rationality content
• a safe space for friendly conversation on the internet (a nice place to hang out)
• A more coherent and stronger connected lesswrong
• Development of better ideas and strategies in how to personally improve the world.

Edit - first week of October: http://lesswrong.com/r/discussion/lw/mub/open_thread_oct_5_oct_11_2015/csr3

Edit - 3rd week in october 2015: http://lesswrong.com/r/discussion/lw/mwt/open_thread_oct_26_nov_01_2015/cuq5

Edit - 3rd week in november 2015 http://lesswrong.com/r/discussion/lw/mzz/open_thread_nov_23_nov_29_2015/cwyl