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VictorieeMan
fa0165a0f192fb0e91c7d8710e57570ad27b3715ca52181f6c53c9b203397073
devs protect nostr btc.victoriee.eth.limo https://victoriee.com/btcpay cashu: victorieeman@minibits.cash Engineering & Maths apprentice, who likes winning and helping others to do the same. Victoriee for us all! Contact: https://vida.page/victorieeman https://victoriee.com/simplexChat

I think it's reasonable to keep an eye on this. I love the use of btc lightning, and use it daily. But if this is how indi developers feel, that's not optimal in the long run.

As mentioned; worthy of keeping an eye on.

nostr:nevent1qqsv5jyfh9gp2qnhruevrph39s2mspzfw3e9mx5avg0wenltrdjnnhgppamhxue69uhkummnw3ezumt0d5pzp3wd64ehu3l4gfkfm63yxqfpztkk97a8k5683p5pvphhnadtj6p2qvzqqqqqqysu8nj4

spring.site is good, but sometime miss nostr services. wouldn't it me possible to have it Browse to any webssite including all nostr webb clients?

The fact that it uses the real & live blockchain data only makes it cooler 😎 Click a South Park citizen and it will show the transaction data :)

This #southpark styled visualization of the #bitcoin chain is fun: https://txstreet.com/v/btc

Best fx calculator so far. Shows USD/BTC/SATS, at the same time in the fx conversion calculation.

https://www.kraken.com/learn/satoshi-to-usd-converter

Check! I buy the importance of those.

First of the bat, one nostr benefit here is that all the data is open. Meaning a business client could be built and run on stronger servers rather than just client side.

We must remember thar business are built for paying, and hence they are also ready to pay for a more business streamlined service.

Historically business have been very dependent & under the leash of whatever business tools facebook, twitter, etc. provided and or their API. And it was just considered badluck, if the service canceled / closed / changed their API or tooling. Nostr is unique in offering consistenty over time here.

Another sell point in "that all the data is open" minimizing business risk of getting locked into services that die out

Also did I say all the data is open? x)

=>

Absolutely worth looking into!

Maybe clients should hide follower counts or at least show a rolling 7day average follower count over having them fluctuate so much depending on relay connectivity xD

I sense this is a client GUI question. If someone want to begin doing nich relays they also need to built a client adapted for that environment. Atm. most client deal with all relays as if they where general relays.

A nich relay world would cooperate better with clients that has gui for specifying where you do your notes posting. Say that you where given tabs that post to different relays. So my "Food tab" posts to food niche relays, and "Photography" post to Photo niche relays.

Interesting note, I had to look it up xD

The english word for odd seem to originate from old-norse aka. Scandinavian. Then reffering to some sort of triangular plots of land. Merriam-Webster then writes:

"Since a point of land can be seen as the apex, or tip, of a triangle, with the other two angles forming a pair at the base, the word oddi was extended to mean "odd number""

In Sweden our word is today spelled as "Udda" rather than "Oddi", but it's basically the same pronunciation.

https://www.merriam-webster.com/wordplay/the-odd-history-of-odd#:~:text=Odd%20comes%20from%20the%20Old,at%20the%20base%2C%20the%20word

Take care of your loved ones. Cherish your time with the old, they won't be there forever. We just had an ambulance call in my family, it was close but not a true end. So I'm grateful for the luck of things going well. Aware of the fragility of their old lives, I'll be grateful for every extra moment I'll get with them ❤

Not here to be to personal about it, but wanted to share my feeling of gratefulness and awareness of the sanctity of life. It's to easily taken for granted.

If you're reading this, take it as a reminder to book one extra dinner evening before the years end with your old ones. Then cherris that moment!

Following #tags is something I've apparently underated on Amethyst. By following at least one tag no matter how generic, it lets some extra people into your follows tab which can be interesting.

For android nostr users:

I could recommend using the Spring nostr browser: https://spring.site/

^^ Spring stores your key safely and lets you log in to a large set of different nostr webb clients like https://coracle.social for instance.

The Amethyst app: https://www.nostrapps.com/apps/amethyst

Or experiment with getting Alby working as an extension in the kiwi browser: https://play.google.com/store/apps/details?id=com.kiwibrowser.browser

Replying to Avatar VictorieeMan

Testing.

Come check out my stream on zap.stream!

https://zap.stream/naddr1qqjrwdtrxc6rqetx95mxxwp3956rxctx943xyvfe95mr2dfe8qunjetxx5cngq3qeaz6dwsnvwkha5sn5puwwyxjgy26uusundrm684lg3vw4ma5c2jsxpqqqpmxwqfeprz

nostr:naddr1qqjrwdtrxc6rqetx95mxxwp3956rxctx943xyvfe95mr2dfe8qunjetxx5cngq3qeaz6dwsnvwkha5sn5puwwyxjgy26uusundrm684lg3vw4ma5c2jsxpqqqpmxwqfeprz

Zap.stream works great. No automatic vods stored after stream ended though. A visitor in chat mentioned it was maybe possible to pay #zapstream to store the stream as vod afterwards if paying for it. I couldn't find such an option, maybe it's done before the stream starts?

If anyone know, let me know xD

Cool how well it worked though!

nostr:nevent1qqspf3gsp204qn202ywqnvhfj8hunuwqcpa7ptq2z2tt6gjsckzk0qgpp4mhxue69uhkummn9ekx7mqzyraqzedq7xf0kr53clv8zrjh2u9dy7ehzh99yxqld3funvsr89c8xqcyqqqqqqgcfs4jk

Testing.

Come check out my stream on zap.stream!

https://zap.stream/naddr1qqjrwdtrxc6rqetx95mxxwp3956rxctx943xyvfe95mr2dfe8qunjetxx5cngq3qeaz6dwsnvwkha5sn5puwwyxjgy26uusundrm684lg3vw4ma5c2jsxpqqqpmxwqfeprz

nostr:naddr1qqjrwdtrxc6rqetx95mxxwp3956rxctx943xyvfe95mr2dfe8qunjetxx5cngq3qeaz6dwsnvwkha5sn5puwwyxjgy26uusundrm684lg3vw4ma5c2jsxpqqqpmxwqfeprz

Update: just created a pull request for amethyst to make this as the default note sharing service.

Due to some of its benefits:

*it generates link previews, so that the reciever know what they click and can tell different links apart.

*it contains some nostr onboarding.

*it increases discoverability of nostr, by creating static pages of nostr notes that can get indexed by search engines.

Also very easy to use :)

example:

https://njump.me/nevent1qqs044w4s3dhwln6qc99yfa0wuty2xzgr4zmvn77fjnphdfn69y69xqpr4mhxue69uhkummnw3ez6ur4vgh8wetvd3hhyer9wghxuet5qgs05qt95rce97cwj8rasugw2ats45nmxu2u55scrak98jdjqvuhqucrqsqqqqqpa2jp4t

nostr:nevent1qqs044w4s3dhwln6qc99yfa0wuty2xzgr4zmvn77fjnphdfn69y69xqpr4mhxue69uhkummnw3ez6ur4vgh8wetvd3hhyer9wghxuet5qgs05qt95rce97cwj8rasugw2ats45nmxu2u55scrak98jdjqvuhqucrqsqqqqqpa2jp4t

Are the Amethyst "updated status" messages visible cross nostr or are they client local?

what is this 11:11 stuff? xD

Is it a way to self dox timezones?

Seems like a promising service to share your nostr content outside of nostr. Your profile, notes etc.

https://njump.me/

I noticed amethyst handles cashu mint tokens, in a very nice way!

cashuAeyJ0b2tlbiI6W3sicHJvb2ZzIjpbeyJpZCI6IkkyeU4raVJZZmt6VCIsImFtb3VudCI6MzIsIkMiOiIwMjZhZTY1N2NhZTQ5MTU2ZWMyNDBiMzAyZDVhMmUxNjhjOTQ4NWViZTgyMmEwNzA2ZDM5ZjM1YjBmMDIwNWUwOWMiLCJzZWNyZXQiOiJGVFMvZTNsUUZmNHE1a0hvRkY3YVV2Ulk4RldCRnVVNHVOUUEreXVCcktjPSJ9XSwibWludCI6Imh0dHBzOi8vODMzMy5zcGFjZTozMzM4In1dfQ==

Replying to Avatar JeffG

Nostr.how is now in Japanese!!! 🇯🇵

A huge thanks to nostr:npub1wh69w45awqnlsxw7jt5tkymets87h6t4phplkx6ug2ht2qkssswswntjk0 for the push to help make this happen just before #nostrasia kicks off next week!

Please zap the shit out of his profile and not this note – all I did was merge the PRs.

https://nostr.how/jp/what-is-nostr

Great!

I think they followed the sms standard. I think I remember having heard of a feature where you could text twitter from your phone to post tweets. And then it sort of became their brand x)

The more you read / write on nostr, you find the character limit on xTwitter to be quite silly.

Are boosts nostr events or client local?

Thanks! :)

Will check out your repo as well

Cool, what's a shoutout in this context?

Replying to Avatar hodlbod

Really good explainer video on MLS:

https://www.youtube.com/watch?v=FESp2LHd42U&pp=ygUYbWVzc2FnaW5nIGxheWVyIHNlY3VyaXR5

It clearly shows the difference between nostr:nprofile1qqsyvrp9u6p0mfur9dfdru3d853tx9mdjuhkphxuxgfwmryja7zsvhqppemhxue69uhkummn9ekx7mp0qyg8wumn8ghj7cfwdehhxtnvdakz7qg7waehxw309ahx7um5wgkhqatz9emk2mrvdaexgetj9ehx2ap0ausuw9 's encrypted chat approach and my groups proposal. MLS introduces a binary tree to manage key sharing with many of the same benefits as the simpler key sharing mechanism but with a ratchet algorithm that requires a logarithmic number of messages to be sent compared to the number of group participants.

cool, will add to reading list

did coracle.social just stop supporting \n chars in profile metadata?

you need to be a party of that chat to do that. The nostr dm meta data is public for any third party to map and visualize / track.

Messages are encrypted, but reciever and timing is public in nostr dms.

Replying to Avatar VictorieeMan

Probability theory is the study of random phenomena. This post is a pilot post for potentially further posting in this series. Feedback appreciated.

Introduction

Probability theory is the study of random phenomena. It is used in many fields, such as statistics, machine learning, and finance. It is also used in everyday life, for example when playing games of chance, or when estimating the risk of an event. The most classic example is the coin toss, closely followed by the dice roll.

When we toss a coin, the result is either heads or tails. In the case of an ideal coin, the “random trail” of tossing the coin has an equal probability for both outcomes. Similarly, for a die roll of a fair dice, we know that the probability for each outcome is 1/6. In the study of probability we dive deep into the mathematics of these random phenomena, how to model them, and how to calculate the probability of different events. To do this in precise terms, we define words and concepts as tools for discussing and communicating about the subject.

This is the first of what I expect to be a 15 part series of my lecture & study notes from my university course in probability theory MT3001 at Stockholm University. References to definitions and theorems will use their numeration in the course literature, even if I may rephrase them myself. The book I’ve had as a companion through this course is a Swedish book called Stokastik by Sven Erick Alm and Tom Britton; ISBN:978–91–47–05351–3. This first module concerns basic concepts and definitions, needed for the rest of the course.

The language of Probability theory

An experiment is a process that produces a randomized result. If our experiment is throwing a die, we then have the following: The result of throwing the die is called an outcome, the set of all possible outcomes is called the sample space and a subset of the sample space is called an event. We will use the following notation:

outcome is the result of an experiment, denoted with a small letter, ex. 𝑢₁, 𝑢₂, 𝑢₃, …

event is the subset of the sample space, denoted with a capital letter, ex. 𝐴, 𝐵, 𝐶, …

sample space is the set of all possible outcomes of an experiment, denoted Ω.

Adding numbers to our dice example, we have the sample space Ω = {𝟏,𝟐,𝟑,𝟒,𝟓,𝟔} containing all the possible events 𝑢₁=𝟏, 𝑢₂=𝟐, 𝑢₃=𝟑, 𝑢₄=𝟒, 𝑢₅=𝟓 and 𝑢₆=𝟔. And we could study some specific sub events like the chance of getting an even number, 𝐴={𝟐,𝟒,𝟔}, or the chance of getting a prime number, 𝐵={𝟐,𝟑,𝟓}. As it happens, the probability of both 𝐴 and 𝐵 is 50%.

Sample space

The sample space is the set of all possible outcomes of an experiment. It is denoted Ω. And there are two types of sample spaces, discrete and continuous. A discrete sample space is a finite or countably infinite set, and all other kind of sample spaces are called continuous.

The coin toss and the dice roll are both examples of discrete sample spaces. Studying a problem, like the temperature outside, would in reality require a continuous sample space. But in practice, we can often approximate a continuous sample space with a discrete one. For example, we could divide the temperature into 10 degree intervals, and then we would have a discrete sample space.

Remember that continuous sample spaces exist, and expect more information about them in later modules. For starters, we focus on discrete sample spaces.

Set Theory notation and operations

When talking about probabilities we will arm ourselves with the language of “set theory”, it is a crucial tool for the study of probability. Feeling comfortable with the subject of set theory since before is useful, but not necessary. I will try to explain the concepts as we go along.

Even tough the events from the dice rolls are represented by numbers, it is important to note that they aren’t numbers, but rather elements. This might become more clear if we alter our example to be a deck of cards. This deck of cards have four suits Ω = {♥, ♠, ♦, ♣ } and in our experiments we draw a card from the deck and look at the suit. It’s here very obvious that we can’t add or subtract the different events with each other. But we do have the operations of set theory at our disposal. For example, if 𝐴 is the event of drawing a red card and 𝐵 is the event of drawing spades ♠, we can use the following notation:

Set theory operations

Union: 𝐴 ∪ 𝐵 = {♥, ♦, ♠}, the union of 𝐴 and 𝐵.

The empty set: ∅ = {}, the empty set. A set with no elements.

Intersection: 𝐴 ∩ 𝐵 = ∅, the intersection of 𝐴 and 𝐵.

This means that 𝐴 and 𝐵 have no elements in common. And we say that 𝐴 and 𝐵 are disjoint.

Complement: 𝐴ᶜ = {♠, ♣}, the complement of 𝐴.

Difference: 𝐴 ∖ 𝐵 = {♥, ♦}, the difference of 𝐴 and 𝐵. Equivalent to 𝐴 ∩ 𝐵ᶜ.

The symbol ∈ denotes that an element is in a set. For example, 𝑢₁ ∈ Ω means that the outcome 𝑢₁ is in the sample space Ω. For our example: ♥ ∈ 𝐴 means that the suit ♥ is in the event 𝐴.

Venn diagram

A very useful visualization of set theory is the Venn diagram. Here is an example of a Venn diagram in the picture below:

[![IMG-20231011-184756.jpg]()](https://postimg.cc/rD1MbMNr)

In the above illustration we have: Ω = {𝟏,𝟐,𝟑,𝟒} and the two events 𝐴={𝟐,𝟑} and 𝐵={𝟑,𝟒}. Notice how the two sets 𝐴 and 𝐵 share the element 𝟑, and that all sets are subsets of the sample space Ω. The notation for the shared element 𝟑 is 𝐴 ∩ 𝐵 = {𝟑}.

Useful phrasing

The different set notations may seem a bit abstract at first, at least before you are comfortable with them. Something that might be useful to do is to read them with the context of probabilities in mind. Doing this, we can read some of the different set notations as follows:

𝐴ᶜ, “when 𝐴 doesn’t happen”.

𝐴 ∪ 𝐵, “when at least one of 𝐴 or 𝐵 happens”.

𝐴 ∩ 𝐵, “when both 𝐴 and 𝐵 happens”.

𝐴 ∩ 𝐵ᶜ, “when 𝐴 happens but 𝐵 doesn’t happen”.

The Probability function

Functions map elements from one set to another. In probability theory, we are interested in mapping events to their corresponding probabilities. We do this using what we call a probability function. This function is usually denoted 𝑃 and have some requirements that we will go through in the definition below.

This function take events as input and outputs the probability of that event. For the example of a die throw, if we have the event 𝐴={𝟐,𝟒,𝟔}, then 𝑃(𝐴) is the probability of getting an even number when throwing a fair six sided dice. In this case 𝑃(𝐴)=1/2=𝑃(“even number from a dice throw”), you’ll notice that variations of descriptions of the same event can be used interchangeably.

The Russian mathematician Andrey Kolmogorov (1903–1987) is considered the father of modern probability theory. He formulated the following three axioms for probability theory:

Definition 2.2, Kolmogorov’s axioms

A real-valued function 𝑃 defined on a sample space Ω is called a probability function if it satisfies the following three axioms:

𝑃(𝐴) ≥ 𝟎 for all events 𝐴.

𝑃(Ω) = 𝟏.

If 𝐴₁, 𝐴₂, 𝐴₃, … are disjoint events, then 𝑃(𝐴₁ ∪ 𝐴₂ ∪ 𝐴₃ ∪ …) = 𝑃(𝐴₁) + 𝑃(𝐴₂) + 𝑃(𝐴₃) + …. This is called the countable additivity axiom.

From these axioms it’s implied that 𝑃(𝐴) ∈ [𝟎,𝟏], which makes sense since things aren’t less than impossible or more than certain. As a rule of thumb, when talking about probabilities, we move within the range of 0 and 1. This lets us formulate the following theorem:

Theorem 2.1, The Complement and Addition Theorem of probability

Let 𝐴 and 𝐵 be two events in a sample space Ω. Then the following statements are true:

1. 𝑃(𝐴ᶜ) = 𝟏 — 𝑃(𝐴)

2. 𝑃(∅) = 𝟎

3. 𝑃(𝐴 ∪ 𝐵) = 𝑃(𝐴) + 𝑃(𝐵) — 𝑃(𝐴 ∩ 𝐵)

Proof of Theorem 2.1

𝑃(𝐴 ∪ 𝐴ᶜ) = 𝑃(Ω) = 𝟏 = 𝑃(𝐴) + 𝑃(𝐴ᶜ) ⇒ 𝑃(𝐴ᶜ) = 𝟏 — 𝑃(𝐴)

This simply proves that the probability of 𝐴 not happening is the same as the probability of 𝐴 happening subtracted from 1.

𝑃(∅) = 𝑃(Ωᶜ) = 𝟏 — 𝑃(Ω) = 𝟏 — 𝟏 = 𝟎

Even though our formal proof required (1) to be proven, it’s also very intuitive that the probability of the empty set is 0. Since the empty set is the set of all elements that are not in the sample space, and the probability of an event outside the sample space is 0.

𝑃(𝐴 ∪ 𝐵) = 𝑃(𝐴 ∪ (𝐵 ∩ 𝐴ᶜ)) = 𝑃(𝐴) + 𝑃(𝐵 ∩ 𝐴ᶜ) = 𝑃(𝐴) + 𝑃(𝐵) — 𝑃(𝐴 ∩ 𝐵)

This can be understood visually by revisiting our Venn diagram. We see that the union of 𝐴 and 𝐵 has an overlapping element 𝟑 shared between them. This means that purely adding the elements of 𝐴={𝟐,𝟑} together with 𝐵={𝟑,𝟒} would double count that shared element, like this {𝟐,𝟑,𝟑,𝟒}, since we have two “copies” of the mutual elements we make sure to remove one “copy” bur removing 𝑃(𝐴 ∩ 𝐵)={𝟑} and we get 𝑃(𝐴 ∪ 𝐵)={𝟐,𝟑,𝟒}. We may refer to this process as dealing with double counting, something that is very important to have in mind when dealing with sets.

[![IMG-20231011-184756.jpg]()](https://postimg.cc/rD1MbMNr)

Two interpretations of probability that are useful and often used are the frequentist and the subjectivist interpretations. The frequentist interpretation is that the probability of an event is the relative frequency of that event in the long run. The subjectivist interpretation is that the probability of an event is the degree of belief that the event will occur, this is very common in the field of statistics and gambling. For the purposes of study it’s also useful to sometimes consider probabilities as areas and or masses, this is called the measure theoretic interpretation. Don’t let that word scare you off, in our context it’s just a fancy way of drawing a parallel between areas and probabilities. Think area under curves, and you’ll be fine.

Hm... not perfect typesetting yet, but getting close :)

You could at least filter for those who paid zaps for the trouble x)

Saw you had a bullet point called: "Content and person recommendations"

Let me recommend the following read; https://gist.github.com/huumn/437925d2861007f12723c72f355959b1

What works works, no other credentials needed.

Music streaming done right: https://zapstr.live/ uses nostr & lightning, to let you stream zaps back to the artist that streams music to you. A two way street.

100% to the artist as I understand it. More music needed, spread to creatives!

I've come to the conclusion that they need to rebrand to become attractive to normies. Getting friends to sign up to Signal was easy, it had a pleasant name and looked like and was sms app to them.

Just mentioning "SImpleX" raises some eyebrows: https://en.wikipedia.org/wiki/Herpes_simplex