dokein

I generally agree with you, but if I had to steelman SBF's actions:

1. Prosecutors don't operate independently of the court of public opinion. They can throw the book at you (e.g. the George Floyd officers) or let you off easy (e.g. other officers who historically did similar things but did not face the same charges).

2. The current perception is that he committed fraud (like Madoff), and if convicted for that would likely go to prison for the rest of his life.

3. He's clearly not innocent of wrongdoing, and there's too many people involved who are cooperating with authorities, so just being quiet doesn't help him as much (in contrast to being found at a crime scene with no witnesses).

4. If he can get a conviction only of criminal negligence then perhaps he can get out of prison faster.

5. Thus perhaps if he can loudly admit to being a bumbling idiot and super negligent, it might sway the public opinion to criminal negligence instead of outright fraud.

Patients have easily 20-30 codes per one hospital visit / one bill and ordering matters so sadly quadrillions may be an underestimate.

Over the years, I've subjectively found HN to be less optimistic. The tone of the comments here are not significantly different from many other topics.

Note that I am not saying that HN is now less neutral--it may be that the current level of optimism vs. cynicism maps better to reality.

That said, I think more optimism is generally better (for motivating action) if you want to start a new business or build a new technology; more realism is generally better if you want to go down an established path or join a venture purely as an employee; and more cynicism is better if you want to be a rabid online commentator (joke!).

SmarterDx | 150 - 220K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time

We are a Seed stage health tech company using A.I. to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (M.D. data scientists, former ASF board member, Ebay fraud detection engineers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital. We have since deployed successfully and been backed by top investors including Floodgate (Lyft, Twitch, Twitter). We have already hit our Series A targets (growing at 500% YoY with a 1X burn multiple) but still have runway for another 17 months.

Who we are looking for:

- Full stack engineers

- Data engineers

Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/positions.html

If interested email us at hiring at smarterdx dot com

SmarterDx | 150 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time

We are a Seed stage health tech company using A.I. to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (M.D. data scientists, former ASF board member, Ebay fraud detection engineers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital. We have since deployed successfully and been backed by top investors including Floodgate (Lyft, Twitch, Twitter) and there is enough market demand for us to 10X in the next 18 months (plus runway through September 2024).

Who we are looking for:

- Full stack engineers

- Data engineers

Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/positions.html

If interested email us at hiring at smarterdx dot com

SmarterDx | 150 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time

We are a Seed stage health tech company using A.I. to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (M.D. data scientists, former ASF board member, Ebay fraud detection engineers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital. We have since been backed by top investors including Floodgate & Flare Capital and there is enough market demand for us to 10X in the next 18 months (plus runway through September *2024*).

Who we are looking for:

- Full stack engineers

- Data engineers

- Healthcare data scientists

Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/positions.html

If interested email us at hiring at smarterdx dot com

SmarterDx | 150 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time

We are a Seed stage health tech company using A.I. to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning and initially scaled the company to $1MM+ in contracted revenue without raising capital. We have since been backed by top investors including Floodgate & Flare Capital and there is enough market demand for us to 10X in the next 18 months (plus enough runway for 2 years).

Who we are looking for:

- Full stack engineers

- Senior product designers

Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.notion.site/Why-SmarterDx-99ce53e9e2fb4b8e...

If interested email us at hiring at smarterdx dot com

One issue is that the current gatekeepers (peer reviewers for journals, grant proposal scoring committees, promotion committees, etc.) are often the people most prominent in their field. On one hand this makes sense for obvious reasons (an expert is the most equipped to judge their field), but on the other hand things like the amyloid hypothesis get 'baked-in' because, well, it's pretty hard to ask those same individuals to highly rank a large grant proposal that goes against their own theory.

So I think the answer is gatekeeping needs to be different -- not less.

It's not clear that the data shows an increase in rent with interest rates (https://qph.cf2.quoracdn.net/main-qimg-4f3dc7c9b86908d1c41fb...)

We are actively looking to hire frontend (see my prior comment history).

If you send me your resume (hiring at smarterdx dot com), we can either proceed down the interview path or I promise to give you feedback as to why not!

SmarterDx | 150 - 230K + equity + benefits | Remote first | Full time Mission: We use EMR data + A.I. to ensure that the recorded diagnoses for each patient match the underlying clinical care they received. This helps hospitals get paid by insurance companies (= direct revenue incentive in the short term). In the long term, this creates clean data for improving healthcare research, quality, and delivery.

Traction: We grew to >$1M in contracted revenue before raising, and have since closed a Seed round led by Floodgate & Flare Capital. There is enough market demand for us to 10X in the next 18 months and enough capital for >2 years.

Team: Highly technical founders (two physicians with technical backgrounds & can code + a quant engineering director at a global investment bank). Rest of the team includes an ex-ASF board member, ex-Googler, and other cool people!

Who we are looking for:

- Full stack engineers

- Senior front end engineers

- Senior product designers

Be part of the founding journey as we hone in on our PMF and build to scale! For more, see: https://smarterdx.notion.site/Why-SmarterDx-99ce53e9e2fb4b8e...

If interested email us at hiring at smarterdx dot com

I don't think one needs to be an actuary to appreciate that comparing the mortality rate of solo founders with the failure rate of VC backed companies doesn't make sense.

When he is asked to defend it, he clarifies that he's only talking about companies that solve a major pain point, have no other competitors, and a low cost of implementation. (Obviously the failure rate of VC-backed companies with amazing PMF and amazing operating margins is much lower than 30%!)

His comment is the highest voted in this thread (assuming HN sorts that way) -- this is a classic example of 'this person says something I want to believe and has some numbers so I'll upvote it without even a rudimentary interrogation!'

Just those in the USA because we deal with healthcare data.

SmarterDx | 150 - 230K + equity + benefits | Remote first | Full time

Mission: We use EMR data + A.I. to ensure that the recorded diagnoses for each patient match the underlying clinical care they received. This helps hospitals get paid by insurance companies (= direct revenue incentive in the short term). In the long term, this creates clean data for improving healthcare research, quality, and delivery.

Traction: We grew to >$1M in contracted revenue before raising, and have since closed a Seed round led by Floodgate & Flare Capital. There is enough market demand for us to 10X in the next 18 months and enough capital for >2 years.

Team: Highly technical founders (two physicians with technical backgrounds & can code + a quant engineering director at a global investment bank). Rest of the team includes an ex-ASF board member, ex-Googler, and other cool people!

Who we are looking for:

- Senior full stack engineers

- Senior front end engineers

- Senior product designers

Be part of the founding journey as we hone in on our PMF and build to scale! For more, see: https://smarterdx.notion.site/Why-SmarterDx-99ce53e9e2fb4b8e...

If interested email us at hiring at smarterdx dot com

SmarterDx | 150 - 230K + equity + benefits | Remote first | Full-stack engineering + data science

Mission: We use EMR data + A.I. to fix diagnostic labels. This helps hospitals get paid by insurance companies (= direct revenue incentive). In the long term, this creates clean labels for improving healthcare research, quality, and delivery.

Traction: We grew to >$1M in contracted revenue before raising, and have since closed a Seed round led by Floodgate & Flare Capital. There is enough market demand for us to 10X in the next 18 months.

Team: Highly technical founders (two physicians with technical backgrounds & can code + a quant engineering director at a global investment bank). Rest of the team includes an ex-ASF board member, ex-Googler, and other cool people!

Who we are looking for: Awesome engineers and data scientists to be part of the founding journey as we find PMF and figure out how to scale.

If interested email us at hiring at smarterdx dot com

SmarterDx | Lead Engineer | REMOTE (or NYC) | FT | https://www.smarterdx.com

U.S. health care organizations spent over $500 billion on revenue cycle in 2021 alone (generating receipts, bookkeeping, and getting paid / allocating payments). That's $500 billion that contributes zero value to patient care, education, research, or operations.

Most of that spending is on manual processing. We are a new company that aims to automate large portions of health care revenue cycle, starting with a niche area in physician documentation.

We just raised a sizable Seed Round by top-tier VCs (both traditional SV tech and healthcare-focused). Prior to funding, we bootstrapped to >$500K in revenue with zero capital expenses. We've demonstrated incredible marginal value against incumbent market leaders and are poised to grow quickly.

Our current stack is React, Next.js, GraphQL, Python, on AWS.

Salary + significant equity is available.

We're hiring for:

* Backend / Infrastructure Engineer

* Product Engineer / Full Stack Developer

* Frontend Engineer

* Business Development

* Customer Success

Please reach out to josh (at) smarterdx (dot) com for a ten minute conversation!

What if you develop an animal that eats the plants, and then when they die they are buried, such that after the decomposition process all that's left is a fossil? I don't see how that could go wrong unless someone digs up the fossils later on for use as a fuel, but that seems like such a ridiculous an unlikely scenario ha ha ha!

That depends on your product.

If Duckduckgo were trying to raise (assuming they had good growth metrics) and they said: look because people enter search terms we can generate targeted ads with no tracking, no dark patterns, etc. People value privacy a lot more these days (see FB tanking in value) and we will capture that market. I think a lot of investors would bite.

If your hypothesis is "look people would rather pay than be sold" and your product is a /paid/ social networking site with 50% growth MoM for a few months and great retention. Then great, let's hear all about it.

If you're just starting some generic product with no revenue and "no tracking no selling data no dark patterns" is some unrelated value prop that 0.1% of users (all of whom browse HN) care about. Then it's just a signal that your voice inside your own head is probably so loud that it'll drown out whatever the market is trying to tell you.

SmarterDx | Lead Engineer | REMOTE (or NYC) | FT | https://www.smarterdx.com

U.S. health care organizations spent over $500 billion on revenue cycle in 2021 alone (generating receipts, bookkeeping, and getting paid / allocating payments). That's $500 billion that contributes zero value to patient care, education, research, or operations.

Most of that spending is on manual processing. We are a new company that aims to automate large portions of health care revenue cycle, starting with a niche area in physician documentation.

Although we are early (admittedly our website, etc. needs much work), we have bootstrapped to >$500K in revenue with zero capital expenses to date. We've demonstrated incredible marginal value against incumbent market leaders and are poised to grow quickly.

Our current stack is React, Next.js, GraphQL, Python, on AWS.

Salary + significant equity is available.

We're hiring for:

* Backend / Infrastructure Engineer

* Product Engineer / Full Stack Developer

* Frontend Engineer

* Business Development

Please reach out to mike (at) smarterdx (dot) com for a ten minute conversation!

I don't think Facebook is "evil" by design, but the end result is the same. The framework is as follows:

There were probably thousands of internet companies that competed to be the dominant sites in the 90s and 00s. By several orders of magnitude the predominant business model is ads for eyeballs, and the predominant network effect scales with number of users.

Several factors influenced success but, on average, sites that captured user attention more effectively got more views and a larger userbase. Thus there was overall selective pressure for addictive properties, and sites like Reddit, Twitter, Facebook, Instagram won over sites that were less able to hold attention like Blogger, Digg, MySpace, etc.

We cannot know, for example, that Jack Dorsey was knowingly trying to maximize outrage with his character limit, which feeds into the "two-minutes-hate" emotional addiction. But we can be sure that he was trying to maximize several KPIs like # users, bounce rate, time on page, etc.

The result? The dominant sites today == the sites that are best able to capture attention!

How successful were they? Not only have they captured a huge portion of time people spend on the internet, the amount of time people are on the internet has itself increased! So they won over other websites and also grabbed attention away from traditional media, newspapers, random thoughts while standing in line, uninterrupted dinner, etc. time.

What's the problem? I think the major challenge is that these sites feel more effective at shaping attention than many drugs (no reference for this yet)!

This parallels the opioid crisis -- maximizing certain good pain relief characteristics (short onset, hits opioid receptors) just happens to be addictive. I doubt the Sacklers cackled during dinner and clinked glasses at the future misery they were causing, but it's pretty damn easy to convince yourself that you're doing the right thing when the money is rolling in.

Jack Dorsey similarly thinks he's saving the world but he's probably the single most responsible person for the "populist politician" phenomenon.

Ah, Medium: taking an accessible source of information, adding a few useless thoughts, and then putting it on a blog behind a registration wall. Between this and Twitter, which encourages polarization and loud emotions over measured thought, Ev Williams really is changing the world!

I'm always astounded by how little money it takes to bribe someone. An Ivy-League chair makes around $250,000, which probably underestimates his salary (STEM is generally higher than humanities), does not include income made from legitimate consulting opportunities, and does not include any residual income from his patents and former companies. Since he wasn't charged with tax fraud I assume he reported his income correctly, which would mean that his total compensation was at most 3-4X'ed by this deal (but probably closer to 2-3X'ed) over a ten year time period.

The difference between 500K/year and 1M/year in household income is a significant difference in lifestyle but not enormous. You may fly first class instead of business, but you aren't buying any private jets. Your children don't need to worry about college and, as a Chair, have access to strong social network, but you won't have your name on a building. You probably have the best house in your academic neighborhood, but you're not buying rare art to hang on the walls.

Meanwhile, the downside is throwing away 40 years of hard work, loss of your other income sources, and possibly prison.

You’re being kind — He’s a former Cornell Prof who was removed from his position for making up data to fit PR-able conclusions. None of his work should be cited as evidence of anything.

I like the concept of individuals being proficient at understanding data the same way they understand language today. Am less sure that this is possible, because each brain has specialized areas (Broca's and Wernicke's) for processing language; we all have pattern recognition built in too; but abstracting the meaning and impact of data is a lot less intuitive.

That said, I don't think "topless computing" is an ideal phrase, because the image many people will get is a woman typing while topless.

Anything that is scheduled in advance (i.e. not imminently life or limb-threatening) is elective. That includes most transplants, coronary bypasses, removing a tumor from the brain etc.

Author splices the data multiple ways, but ignores one obvious one which is African-American single-parent households (over 65% - [1]), and to a lesser degree Hispanic or Latino households (over 40%). The percentage is also high for American Indians (over 50%) but that has a smaller overall effect because of their population is an order of magnitude smaller.

This obviously has a large number of upstream causes and a large number of downstream effects.

[1] https://datacenter.kidscount.org/data/tables/107-children-in...

Part of being encouraged to exercise personal judgment is being responsible enough to participate in the consequences. Judgment with no/few personal consequences is reserved for children and legislators.

I will say this: we did not have the same good experience.

My cofounder and I are starting a healthcare B2B SaaS company and were 1-2 months in when we tried Startup School. We got paired with people for the first three weeks who were purely in the idea phase and had no product, no sales meetings, and no prior experience. We also got paired with people in the wellness rather than healthcare space, for example those that were looking to sell some random supplement (which generally have little evidence of benefit). As a result, doing the weekly meetings was more of an energy drain rather than a social-pressure-as-a-motivator service.

The forums were full of people asking for technical co-founders or for basic advice that was covered in the lectures. The software also did not give any great insights (i.e. you can replicate all the features with a simple weekly checklist of "What's your sales target / quantifiable metric?" and "Have you hit it, or what have you done to hit it?").

This doesn't invalidate all the hundreds or thousands of people who had excellent experiences. Just wanted to illustrate the other perspective.

The level of certainty required for an action changes depending on the downside risk of action vs inaction. For example, if I am 20% certain that you have a pulmonary embolism, the correct action is to start treatment immediately; the risks of treatment are low relative the harm of waiting for further testing.

The FAA and NTSB are rightly very conservative and cautious with respect to approving new designs, since the risk of premature approval is high and the harm of waiting a bit longer for more information is low. But this is the opposite scenario - the risk of grounding planes is operational inconvenience, versus the harm of another plane crash.

The correct move here is to act even if they think the certainty is low.