𝗛𝗲𝗿𝗺𝗲𝘀 𝗦𝗲𝗹𝗳 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗸𝗶𝗹𝗹𝘀.
There's a free AI agent that writes its own skills after every task and gets smarter the more you use it.
When it finishes a complex job, it saves the exact steps as a markdown file. Next time, it skips the figuring out and goes straight to the work.
→ Free open source from Nous Research
→ Skills self improve during use
→ Runs from Telegram, Discord, Slack, WhatsApp
→ 70 built in tools and 200 plus pull requests merged
→ Multi agent orchestration baked in
One guy now sends a Telegram message and his agent picks up where it left off 3 months ago.
Most people will keep using AI tools that forget everything the second they close the tab.
Save this, you'll want the setup ready.
Want the SOP? DM me. 💬
I spent a large part of yesterday trying to explain to people who supposedly are proponents of science what a "confounding variable" is.
Rather than say the same thing again today to about 100 people in about 100 different replies, I'm going to write it all in one place, here.
When scientists do science, in the form of an experiment or study, they will ultimately write it up in a standard report format containing the same sections:
Abstract
Introduction
Method
Results
Discussion
References
One of the most important aspects of the Discussion is a critical analysis of what was done. What went well, what could have been done better, what should be done next time. In particular, the authors attempt to identify if there are any "confounders" which may have influenced the results and rendered them invalid.
Let's take the example of a medicine in a clinical trial. We might, if we are ethical scientists, want to study whether a particular medicine causes adverse effects to those taking it before letting it loose in the wild. So we might recruit some people for a trial, and divide them into two groups. The first receives the actual medicine, the second receives a placebo. We might then monitor the recruits for a few months (or, preferably, a much longer period) on a daily basis and note any illnesses suffered in both groups.
We would then do a statistical analysis on the results from the two groups. If the results of that analysis showed that there was no statistical difference in the levels and types of illness suffered in the two groups, we might then conclude that no adverse effects were caused by the medicine. If, on the other hand, there was a significant difference between the two groups, that would point towards the need for further study and might lead us to conclude that the medicine was the cause of the difference.
The key thing here with our experimental design is that we want to make sure that the two groups in the study - the experimental group who receive the medicine and the control group who do not - are, in every other way, identical. Because if they're not, those differences might have caused the effect we observed, rather than the differences we created in our experiment.
What factors might make these two groups different?
1. Age differences. If one group was older, we might expect they might suffer more illness than the younger group.
2. Gender. Dependent on the medicine, males or females might be more affected. If the groups weren't balanced for gender, this might distort the reported illness results.
3. Health differences. If one group had poorer general health than the other at the beginning of the trial, we might expect them to report more illness during the trial.
These are all examples of "confounding variables". Factors which we did not control but which might influence the outcome and render our results invalid.
So in our experimental design we would want to make sure the experimental group and the control group are closely matched for age, gender and health status.
Which brings me onto climate change.
Climate scientists contend that Carbon Dioxide created by human activity in the industrial age is causing global atmospheric temperatures to increase.
As evidence, they point to an increase in global atmospheric temperatures over the last 200 years or so.
So far so good. Temperatures have, broadly, risen during that time. There are plenty of other things to criticise about this hypothesis and about climate "science" in general but that is for another time.
Yesterday we saw, all over the media, headlines about new record May temperatures of 35 degrees at Kew and Heathrow, and below the headlines was text saying that experts were saying this was another example of evidence of how the climate is warming.
Now I don't deny that it's been hot the last couple of days - where I am it has been around 32 degrees - so I don't doubt that the May record may have been broken somewhere in the country.
But the specific problem I have is with the temperatures at Heathrow and Kew, or indeed anywhere close to London or a big urban area being used as the evidence that the May record has been broken,or that they are evidence of atmospheric warming.
Why? Because of a confounding variable.
When we say a temperature record has been broken, we need to make sure we are comparing apples with apples. So not only do we need to compare temperatures that were measured in the same site using the same type of equipment in both instances - we need to make sure that the sites themselves have not changed.
We know that modern urban areas create a "heat island" effect. The expanses of heat-retaining materials like concrete, asphalt and cement retain heat during the day and release it slowly overnight, leading to higher daytime and nighttime temperatures. Added to which are the many buildings and vehicles in urban areas generating their own heat. All of this means that temperatures in, or close to, an urban area are typically several degrees warmer than in countryside some distance away.
Given the expansion and urbanisation of London over the last century, this effect will only have grown over time.
Arup measured this effect in London and concluded that temperatures there are often 4.5 degrees hotter than in the surrounding countryside (see first comment for link).
This effect obviously varies between different parts of London, as shown on the heat map, and reduces as you move away from central London, but even at Kew, the effect is estimated to cause temperatures to be 0.9 degrees higher than would be the case if Kew was sited in the countryside.
And Heathrow clearly creates its own heat island effect given the scale of the airport and the big expanses of heat absorbing materials there.
So if we are going to use temperatures measured in, or close to, London as evidence of atmospheric warming, we have a problem. We have a significant confounding variable. The warming caused by the heat island effect is going to add to any warming in the atmosphere, and give us an exaggerated result.
You can perhaps forgive tabloid newspapers for running headlines about this, just quoting the raw temperatures measured. They want to make money and it being very hot outside is a great news story. And urban areas becoming increasingly hot in summer is an issue in its own right.
But what is unforgiveable is people who claim to be scientists using these measurements as evidence of atmospheric warming, when there's such a glaring confounding variable influencing the data.
How would a proper scientist deal with this confounder?
Well, they might say "from now on, we will only use temperatures from rural weather stations which are not subject to urban heat island effects, and we will only declare records on the basis of those measurements"
And they might say "we will not use temperature measurements from areas subject to urban heat island effects as evidence of atmospheric warming".
But the Met Office and the climate science people aren't saying that. They're going with the artificially inflated temperatures. Because they have an agenda to push, a vast Net Zero industry to sustain, research grants to chase, and any evidence, however shonky, which backs up the global warming narrative is welcome.
This isn't science!
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Someone posted this on Facebook...so true!
Tax his land,
Tax his bed,
Tax the table
At which he's fed.
Tax his work,
Tax his pay,
He works for peanuts
Anyway!
Tax his cow,
Tax his goat,
Tax his pants,
Tax his coat.
Tax his tobacco,
Tax his drink,
Tax him if he
Tries to think.
Tax his car,
Tax his gas,
Find other ways
To tax his ass.
Tax all he has
Then let him know
That you won't be done
Till he has no dough.
When he screams and hollers;
Then tax him some more,
Tax him till
He's good and sore.
Then tax his coffin,
Tax his grave,
Tax the sod in
Which he's laid.
When he's gone,
Do not relax,
It's time to apply
The inheritance tax.
Accounts Receivable Tax
Airline surcharge tax
Airline Fuel Tax
Airport Maintenance Tax
Building Permit Tax
Cigarette Tax
Cooking Tax
Corporate Income Tax
Goods and Services Tax (GST)
Death Tax
Driving Permit Tax
Environmental Tax (Fee)
Excise Taxes
Income Tax
Fishing License Tax
Food License Tax
Petrol Tax (too much per litre)
Gross Receipts Tax
Health Tax
Heating Tax
Inheritance Tax
Interest Tax
Lighting Tax
Liquor Tax
Luxury Taxes
Marriage License Tax
Mortgage Tax
Pension Tax
Personal Income Tax
Property Tax
Poverty Tax
Real Estate Tax
Retail Sales Tax
Service Charge Tax
Telephone Tax
Value Added Tax
Vehicle License Registration Tax
Vehicle Sales Tax
Water Tax
Tax (VAT) on Tax.
And Now they want a blooming Carbon Tax!
STILL THINK THIS IS FUNNY?
Not one of these taxes existed 100 years ago, & our nation was one of the most prosperous in the world... We had absolutely no national debt, had a large middle class,a huge manufacturing base, and Mum stayed home to raise the kids.
What in the happened? Could it be the lying parasitic politicians wasting our money?
Oh, and don't forget the relatively new bank charges....
And we all know what we think of Bankers.
I hope this goes around the UK at least 1,000,000,000 times!!!
YOU can help it get there!
Dr. Zach Bush shares a mind-blowing nature insight: Birdsongs in each region have evolved to interact with tree pores (stomata), helping them open to breathe more oxygen and CO₂—kickstarting the life cycle.
Historical / science nugget: Studies on plant bioacoustics (e.g., from Yeungnam University and others) show sound vibrations—like birdsong or "green music"—can influence stomata opening, boost nutrient/water uptake, and enhance growth by triggering molecular changes in plants. While not every regional birdsong is proven to "perfectly match" local trees, vibrations from natural sounds act as a gentle signal for better respiration and vitality.
Bush extends it to us: Nature's sounds and beauty do the same for the human body—up-leveling metabolism, energy, and resilience no matter diet or toxins around you.
Get outside aggressively—listen to the birds, feel the shift. Nature is the ultimate viral healer.
What's your favorite way nature "turns you back on"—birdsong, ocean waves, forest walks?
MAJOR PRIVACY WIN [Video below]
And @Moto just partnered with @GrapheneOS to build a phone you actually own, that's not a @Google product.
While:
@Samsung gutted recovery mode, bricking devices.
@Apple added ID Collection and backdoors (video soon).
Video below
We were lied to.
They told us to sit under fluorescent lights for 8 hours a day. Stare at screens. Eat processed food. Ignore the sun. Ignore the earth beneath our feet.
Then they wondered why we’re sick, tired, and broken.
Quantum biology is the science they don’t want you to understand. Because once you do, you stop being a compliant worker drone. You realize your mitochondria run on light. Your cells communicate through frequencies. Your body was designed to sync with nature — not a cubicle.
And now? AI is about to shatter the final chain.
The 9-to-5 is dying. The gatekeepers are losing their grip. For the first time in modern history, a single human with vision, a laptop, and AI can build what used to take a whole corporation.
This isn’t a threat. It’s a liberation.
But here’s what most people will miss: **freedom from work enslavement means nothing if your biology is still enslaved.**
Get outside. Ground your bare feet in the dirt. Watch the sunrise. Drink real water. Let the sun hit your skin. Rebuild your light environment.
The future belongs to the humans who pair cutting-edge AI with ancient biological truth.
Not the ones still asking permission to leave their desk.
Wake up. The cage door is open.
🚨 BREAKING: A team of engineers just said enough and built a browser from absolute scratch.
No Chrome code. No Firefox code. Nothing recycled.
Ladybird Browser is:
→ A 100% independent browser engine
→ Written in C++ from zero
→ Not a Chromium fork like every "new" browser you've ever seen
→ Completely open source anyone can contribute
Chrome secretly runs 95% of the internet right now.
This is the open source project trying to change that.
59,200+ stars on GitHub.
Almost 40 orgs just signed an open letter telling Google to reverse Android Developer Verification, we're one of them.
Google has not backed down and seems to have no intention of keeping Android open. Check out our newest video covering what's going on and what we can do: https://t.co/8Q2lN3micB
🚨 Google wants to force every Android developer to register with them, even if you never touch the Play Store. We signed the open letter opposing this alongside EFF, Proton, F-Droid, Tor Project, and 30+ others. Android's openness is non-negotiable.
https://t.co/vzlPdOc5Sa
And that's why we say NO to #AgeVerification
👉Check the status in your country & whether you need to contact your lawmakers: https://t.co/jRJYAUqcQD
When you do things online, you inadvertently leave a trail of data. Third parties can use this data to build an accurate profile of you.
Privacy-focused tools like our browser and search engine reduce your digital footprint, but good habits are important too. 🧵
Your phone is constantly scanning the space around you.
Not the camera.
Not Face ID.
It uses invisible light to map your surroundings.
Here is how to turn it off today: