Cardiff Bute Park is a class 5 station. Trying to make out Kew is in the countryside, it's not.

RT @Roebanie: Masih sok paling berkuasa di dunia? Lihatlah kekuatan dan kekuasaan Sang Pencipta mu.

RT @KnightsTempOrg: ✝️Before you talk about the Belfast riots last night just take a look at this innocent Ulster Protestant mans face, cu…

Jon Lord was an incredible pianist. He made history with Deep Purple. We remember him today, on what would have been his 85 birthday 🎹

RT @ghostofRoc: Russian soldier admits his unit raped girls as young as 10 & 11 yrs old in Ukraine forced mothers to watch - just before…

Today is the International Day of Innocent Children Victims of Aggression. For Ukrainians, this is a painful reality that has become part of everyday life. Since 2022 alone, Russia has killed 707 Ukrainian children, injured 2,548, and left 2,318 missing. The youngest victim was just two days old - born and killed in a maternity hospital. These figures may be far higher, as the full truth about what has happened in the temporarily occupied territories remains unknown. In addition, at least 20,470 Ukrainian children have been deported to Russia or forcibly displaced. Eternal memory to all the children whose lives have been taken by Russia's aggression...

Hampshire Police violently arrest attendee of Henry Nowak protest.

Well... he's gone – the CIA call made seconds after Frank Olson hit the pavement msn.com/en-gb/news/uknews/we…

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!

Herramienta fascinante para explorar el clima del pasado: Weather Replay, la nueva app de @CopernicusECMWF, permite reconstruir las condiciones meteorológicas de cualquier lugar del mundo hora a hora desde 1940 hasta hoy. (Ver hilo) Portal aqui: weather-replay.climate.coper…

“The UN just walked back its climate doomsday models – after BILLIONS were wasted. ‘Every apocalypse is a business model.’ They used fear to grab your cash, your gas stove, your truck, your burger.” Watch this epic takedown of the climate cult from @greggutfeld. “The UN is backing off after calling you a climate denier, as if questioning the faulty models is like denying the Holocaust. But no big apology, no refund check, no "our bad." Because in the end, they got what they wanted. The motive wasn't the environment, it was greed. The instrument was fear. Once panic becomes an industry, there's no incentive to calm people down. That's why every Dem crisis now comes with a consultant, a nonprofit, a celebrity telethon, and a 900-page spending bill. Every apocalypse is a business model. And for the climate change scammers, no business had been hotter than the end of the world.”

Majic

Europes rosting global warming

A man spends 50 years teaching at MIT. He knows his time is running out. So he records one last lecture — everything he knows, distilled into a single hour. He died 5 months later. This is that lecture. The most important hour you'll watch this week. 👇 Bookmark it for later

🇺🇦💪🧐Ukraine has just made a statement that shocked the world regarding nuclear weapons. “Ukraine possesses all the necessary technologies and materials to create nuclear weapons. We did not want to go down this path, but if Russia does not withdraw its troops from our territory, we will be forced to use this option.” After years of war, millions of victims, destroyed cities, and constant nuclear threats from Russia, Ukraine has officially stated that it has the technical capability to develop its own nuclear weapons. What do you think — does Ukraine need nuclear weapons?

Inverness Scotland

🚨🇬🇧 “I was on a Diplomatic Passport and he (Keir Starmer) Banned me from coming to the UK” I’m going to sue Keir Starmer for everything he’s got” “Starmer is done - We don’t have Terrorist Attacks in Poland” Listen to Polish MEP Dominik Tarcynzski give the best interview hear today ‼️

I believe her.