throw_14JAS

Do you roughly know the relative ratios of emission for the sources?

Alternatively, I will reply to myself at that point in the thread. Just have to make sure you don't include this when conversing later, which isn't a problem as I generally reply to the other person's inbound.

Sending myself emails as notes is the stickiest note taking app I've had in 20+ years of internetting.

Signaling respect based on how much status a person has is not about respect, its about status. Unless you also dress up for e.g. serving soup at a soup kitchen.

It's possible he succeeded in spite of these behaviors, not because of them. The only difference in the two interpretations is our own initial biases.

It might be ineffective, or the subconscious bias we all have might automatically lower the person's status. IOW, they might have this effect normally.

If that feels unlikely, it's because it is. But we have very little way of knowing how this would play out in any other situation.

My point is we should all be less certain of the stories we tell.

You and I sound very familiar! I also have plans for personal dashboards using redash for everything from weather to a shared calendar. Also plan on putting it in a display in a Magic Mirror for aesthetics... but who has the time!

Couple questions, if you don't mind taking the time:

1) What makes you want to use Redash, instead of a spreadsheet?

2) If you had a service that (securely) sync'd data into your spreadsheet, would that provide all of the value of Redashing it?

Were you deploying using a Python webserver (e.g. SimpleHTTPServer), or was it nginx routed to an app server?

Wouldn't a job queue solve both issues? You could either make the data science stuff async (and spin up more servers as necessary). Or, with a job queue, you could use a go webserver to push requests into the queue for processing in python.

I'm confused as to why you loved it, if it added no value. Do you mean that you emotionally loved using it, but on an actual examination, realized it didn't help you manage your money?

my experience: I felt like I was a Responsible Adult when I used it, but didn't actually budget any better.

I'm super interested in this solution, can you expand a bit on your motivations and help me better understand the problem?

I see a lot of times, people export to Excel to do their own analysis. I think there is something about doing it "my way" that helps me connect with the data, whether it's budgeting or (my current project) fantasy sports.

Specifically, what value do you get from exporting and creating your own graphs? How much time do you spend / how frustrating is it to have to export and build the graphs?

My major takeaway was how cheaply they tested this idea. Waiting for someone to sell this as a provider-as-a-service to VCs, so they can quickly get a real world estimate of TAM.

For $1k in spend and a day's work, they had a nice data point that tested TAM assumptions.

* Landing page is a template, figure 4-8 hours to put together the couple hundred words of content and configuring assets

* FB Spend = $509.23

* Estimate Google spend around the same (numbers not specified)

I encourage you to consider how your statement, "I don't trust Microsoft," sounds to a higher level exec or department head. I don't mean this as a criticism -- I notice there's a tendency for ICs to state their opinions in such a way that hurts their perception.

Namely, if you were to state to a higher level manager that you "don't trust Microsoft", you will come across as a crank. Or a developer who doesn't see the bigger picture.

To improve perception, folks should try to reframe their personal preferences ("I don't trust MS") as risks to the business - "I worry that MS will lock us in to their platform and jack up prices". The former is reputation-harming; the latter is being a savvy 2nd order thinker, who looks beyond just what the MS salesman says.

Thanks for replying! I don't tend to do that type of work anymore, but I'm still stoked to see a solution to the problem I had frequently. I think there's a great service to be built (and maybe it's yours!) that deduplicates data.

Specific models might be an interesting addon. Address parsing, normalization, and deduplication (with potential covariates like phone number, email address, etc.) is a massive pain in the ass for any data engineer who works with sales or marketing folks. Their databases (CRMs) are awful -- it was always a chore to clean these up, but measurably saved money (imagine you mail physical cards, and only want 1 per customer... but you have 5 different contacts at that company for 3 unique individuals).

I would have paid for a deduplication service -- say, quarterly batches at somewhere >$500/quarter for e.g. 20-50k contacts.

The 1-size-fits-all isn't really a value add for me, that wasn't so much my issue. For other target users, I can see that use -- for them, the interface is the value add. Especially if you can read/write Excel files directly.

Stop words aren't something I used in my deduplication efforts. How many of your users request or use this? What kind of stop words do you want to exclude from comparing two entries? I would be worried that stopwords still carry information: "The Store" versus "Store" might be significant.

It'x a brilliant piece of marketing from MS, if you think about it. Many decision makers, even in spaces with HIPAA data, have no real idea what it entails. They are frightened of screwing it up.

What Microsoft sells is a "good enough" solution that speaks the right language for the decision makers. In turn, this makes their decision less risky while still satisficing the requirements.

I've had a similar idea in the back of my mind for a few years now. Congrats on launching!

My use case is a bit different -- I was doing a lot of database cleanups, particularly CRMs. I rewrote/reused code to build a duplicate detector a number of times; always wish there were a service that I could send data to, and it would flag my dupes. Even was using human labelers to train domain specific models.

Your first customers will be sold to in person. Let them tell you when something is too expensive (then discount to make the sale). If they aren't commenting on your pricing, you are charging too little.

Also reconsider your pricing model. Charging per user per month will place a limit on how many people use the service, limiting what you can learn. Get them focusing on the value you're adding more than optimizing price. What you learn from them will be hugely valuable.

I generally see <1% for first engineer hires. In order to hire someone who can 1) do the work initially and 2) grow the team, I think a 5-10% grant with a salary that's 60-80% of market is appropriate.

At least, that's what it would take for me to join a startup as first engineer versus starting my own business.

Isn't it in a read-only partition, where, by definition, you wouldn't be able to reuse the space? Wouldn't it only be users at their storage capacity who would be affected?

Similarly anecdotal, women spend a lot on clothes.

My actual point is this type of discussion doesn't really add anything. It's difficult to prove, and prone to an extreme amount of bias combined with generalizing from a small sample.

What works for me is to do things by hand, until all the possible information I might want to share is present. I call it my inventory.

Then work on refining, editing, deleting, modifying.

Separate the creation from the editing/communication.

Interestingly, the rat park experiments have been reinterpreted. I am not an expert, but I believe one acceptable interpretation is that rats with a sense of connection and socialization don't press the levers as much.

We are all lotus eaters - it is defined to be "the things I think makes others soft or vulnerable". The author's value of austerity comes across to me like Mother Teresa's belief that suffering is noble and brings you closer to god. I don't share that belief, but certainly have my own lotus behaviors.

It's as valid to say that eating your free lunch provides strength and saves energy to support you on the way towards the goal.

There is nothing inherently praise worthy about suffering. Preferring comfort does not make one weak.

The author is generalizing their personal values to others.

There are slight transaction costs of $0.18 - $0.20 that is not refundable. Miniscule, but it prevents some domain tasting at scale.

It's less obvious that the high temps are caused by climate change. Directionally, it makes sense -- but how much of the delta temp is variation?

Upvoted you, because why not throw around internet points!

It's easy to forget that things that are basic to some are extremely advanced to others. As HN grows, it draws in more diverse backgrounds; many of which don't have much statistics exposure.

I know data scientists who work at FAANGs, for whom this would be almost entirely new information (the causality stuff).

Thank you for taking the time to add more essential points. Do you think it's possible to make better decisions with partial causation, versus a more correlational approach? That is, do we really need true causation to improve our decision making? Or can we make better, albeit imperfect, decisions with imperfect causality? Is that better than what most statisticians do with correlation?

This is not limited to Silicon Valley. Every predictor since before Nostradamus has used this to their advantage. Those who haven't lose their audience, because predicting the future in concrete terms is really hard. So hard that nobody can do it regularly. Which causes people to stop listening.

I didn't downvote, but your comment came across as dismissive.

Personally, I think there's a world of difference between the aphorism of "correlation does not equal causation" and actually understanding how causation works. I understand the former quite well, but haven't much a clue about the latter. (And I'm not alone!)

Stronger unions also have their issues. I strongly disagree that union-only shops should be allowed.

While I may be free to quit a union job, it feels quite gangster to say that I have to participate in one to take a job. I don't think the tradeoffs -- benefits from a union versus costs involved, especially when it's exclusively to pursue a career at a specific company -- favor unions.

That said, I do think unions could be stronger, and get a bad rap. To me, this seems like a problem the larger/stronger unions caused (and still cause - see police unions).

Your language - "be part of the group or don't work here" - is also a major disincentive. Artificially created black and white scenarios are reductionist.

How do you justify taking away my right to choose where and how I work?

Because it's evidence is pretty straightforward: you can take wikipedia's list of important inventions and plot their frequency on a chart.

Of course, there are debates around which inventions count as significant. And there is recency bias.

Never underestimate the power in something easy to communicate.