The gaping scientific & logical flaws in virology & germ theory (Drs Sam & Mark Bailey interview Mike Stone)

Theocracy — government in which one or more deities are recognized as supreme ruling authorities, giving divine guidance to human intermediaries who manage the government’s daily affairs.

Most theocracies in the World are Islamic as you might expect — Saudi Arabia, Sudan, Iran, Yemen and Afghanistan. One small example that isn’t is the Vatican City State.

Stopping believing everything the biased, agenda-driven MSM wants you to think would be a start. Last October’s election result is cause for optimism that people are.

This recent (about 1 year old) AI app has made the news again with the NY Times announcing it will sue the creators for unathorised utilizing of its content. It should be interesting.

Anyway, we asked it to describe a visit to Waikanae, and the result was curious with some correct, some wrong and severable questionable statements:

Waikanae, a charming. coastal town on the Kapiti Coast of New Zealand, offers a serene and picturesque escape for visitors seeking a peaceful retreat. As you approach the town, the air becomes infused with the salty scent of the nearby Tasman Sea, and the gentle sound of waves crashing against the shore fills the atmosphere.

Upon arriving in Waikanae, you’ll find yourself surrounded by lush greenery and pristine landscapes. The town is known for its beautiful beaches, and a visit to Waikanae Beach is a must. The golden sands stretch for miles, inviting you to take a leisurely stroll or simply relax while listening to the soothing rhythm of the waves.

Waikanae is home to a vibrant arts community, and you might want to explore the local galleries and studios that showcase the talents of both established and emerging artists. The artistic flair of the town is reflected in the colorful murals adorning some of the buildings, adding a creative touch to the streets.

Nature enthusiasts will appreciate the abundance of walking and hiking trails in the surrounding areas. The Waikanae River runs through the town, offering a peaceful setting for a riverside walk or a tranquil picnic. The Waikanae Estuary is another natural gem, providing a habitat for various bird species, including herons and tui.

For a taste of local cuisine, explore the charming cafes and restaurants that line the streets. Fresh seafood is a specialty in Waikanae, and you can savor the flavors of the region while enjoying a meal with a view of the ocean.

As the day winds down, the sunset paints the sky in hues of orange and pink, creating a breathtaking backdrop to the coastal landscape. Whether you choose to stay in one of the cozy bed and breakfasts or enjoy the comfort of a beachfront resort, a visit to Waikanae promises a tranquil and rejuvenating experience.

Hmm, well. “…the air becomes infused with the salty scent of the nearby Tasman Sea, and the gentle sound of waves crashing against the shore fills the atmosphere” – not really, unless you’re very close to the beach. In the main town area you won’t.

“The town is known for its beautiful beaches” — that should be singular, not plural.

“The golden sands stretch for miles” — why not be specific? From the tip of the Estuary sandspit to the Pharazyn Reserve is about 4 km (thereafter it’s Peka Peka beach) and the sand is much more grey than gold.

“…explore the local galleries” — why not mention Toi Mahara, and really the only other normally open one is in lawyer Suzy Mill’s reception. The others in people’s homes need appointments.

“Murals add a colourful touch to the streets” — not really. There’s one on the old library and one on the south side of the Main Road fishmonger. There’s a small one on the Landlink office and another small one in Frater Lane. In addition there are a few on power boxes.

“…charming cafés and restaurants line the streets” – there are a few, but they don’t really line the streets and the only one that gives an ocean view is the upstairs of Tuktuk. Fresh seafood isn’t really “a specialty in Waikanae” — there is a business called Waikanae Crab, but it’s in Paraparaumu. As well as the fishmonger on the Main Road, another is in Rangihiroa Street near the beach.

No mention of the Nga Manu sanctuary?

You get nice sunsets when it’s fine or with thin cloud, but not when it’s overcast.

So, anyone interested in composing something accurate and reliable would be well advised to avoid getting ChatCPT to do it, which only seems adequate for the abysmal standards of the Stuff/Herald/TV1/Newshub/RNZ cartel.

More on the cartoon

Back in September, Biden’s Secretary of State, and arguably the effective real President, demonstrated one of his pastimes by playing rhythm guitar to a house band and turning his usually soft-spoken voice to a deep bellow on a rendition of “Hoochie Coochie Man” by blues legend Muddy Waters. 

Well and good, if only he did that full time.

I couldn’t pass up tonight’s opportunity to combine music and diplomacy. Was a pleasure to launch @StateDept’s new Global Music Diplomacy Initiative. pic.twitter.com/6MUfTXO9xK

— Secretary Antony Blinken (@SecBlinken) September 28, 2023

But here’s a song he should learn and perform at every opportunity — ‘One’ by Metallica, arguably the most powerful anti-war song ever, from a severely wounded soldier’s viewpoint.

If there was nothing to hide, Health NZ and its boss Margie Apa wouldn’t have cared. Their reaction clearly says they have a lot to hide.

by Steve Kirsch

Anyone want to bet me I got it wrong? I will debunk these as needed. I’m also offering to bet $250K or more that the NZ data can be used with publicly available data to show that the Covid vaccines are killing people. Any takers?

Executive summary

A bunch of people are making attempts to discredit the NZ data leaked by Barry Young who is now facing 7 years in prison for his actions.

All of the “analyses” claiming “there is nothing to see here” are flawed, but I’ll let you decide that for yourself.

I’m going to start with the “analysis” just published by OPENVAET and another he co-authored with DR AH KAHN SYED. I’ll add to the list as more are published.

I assure you the NZ data is real and all attempts to discredit the data and what it says will backfire on those who attempt to do so as I will demonstrate in this post.

I’m offering to bet anyone $250K or more that the NZ data shows the vaccines are unsafe. I’ll be thrilled if I get any takers.

But this shows you that none of the people who boldly claim I got it wrong have any confidence in their “analyses.”

CLAIM: “The “New-Zealand whistle-blower” story is a dead-end for valid arguments”

The article claims include:

1. “Too many people are falling for the New Zealand Data trap. There are no alert signal (sic) in the New Zealand mortality trends and the data released is unusable.”
2. “Alterations made to the data by Kirsch are forbidding serious re-analysis”
3. “The data made public has been “obfuscated”. In layman terms, this means it has become impossible to verify, and useless for any form of real analysis”
4. For all 8 ten year age groups listed in the article, 20 and older, as well as for all age groups combined, the per capita deaths in 2022 were higher than 2020.
5. “Furthermore, Kirsch is now undermining Andrew Bridgen’s efforts in the United Kingdom”

Wow. This is an evidence free post. Let me respond to each point.

1. There are huge alert signals if you have spent time with the data. The definitive analysis method for an intervention like this is the time-series cohort analysis. Yet OpenVAET doesn’t even mention they looked at it. That’s just ridiculous. He simply does a population analysis and finds that deaths are up for all 8 ten year age groups compared to 2020, so he says nothing is happening in New Zealand. Here is the mortality by week in New Zealand. Does it look like nothing is happening here?If the vaccines are so safe, why was there a huge mortality peak during the week of July 18, 2022? It’s still a peak even after you remove the COVID deaths. Hmmm…. I wonder why? Also, everyone is vaccinated by then too.
2. He doesn’t explain what alterations we made, so how can he know the data is unusable? We ran the time series analysis on the original data and on the obfuscated data and the results were an EXACT match. And that’s the definitive way to analyze this data. So I’d like to see his EVIDENCE that the data is unusable for analysis. He provides NONE whatsoever.
3. See #2.
4. The data he shows shows mortality increased in every 10 year age group from 20 years on up. So how is that a nothing burger? Had they looked at the time series cohort analysis they would have found huge signals, but they decided not to look.
5. For proof of #5, they cite this tweet with 153K views. This was Andrew’s idea. Read the comments. Does this sound like I’m undermining his efforts? I was a major funder of the whole event in Parliament.

If you are going to criticize someone’s work, the least you can do is look at it first. If you look at the graph I posted above which is publicly available data (if you know where to look), it’s pretty clear something is wrong and it is crystal clear in the time series data which they NEVER looked at. Something is causing record level peaks.

Claim: “The New Zealand “whistleblower” data is a burger of nothing.”

This new article is co-authored by Dr. Ah Khan Syed.

The key claims include:

1. This is the definitive takedown. There is nothing to see here. The debate is over.
2. “The rise in mortality in NZ appears to be explained by the increase in the elderly component of the overall population. That in itself is somewhat bizarre but not a subject for today’s analysis.”
3. “This curve shows nothing but a slight increase explained by the aging of the cohort.”
4. What you can see is that there are actually less deaths in the cohort than should be expected based on the background data – about 14% less
5. The data was deliberately “released as bait” and it under-reports deaths:

Wow. Once again, they ignore the accepted definitive way to analyze the data (time series cohort analysis) and they “roll their own” analysis method and model. They cannot be questioned on this since they are the experts and they don’t have real names. So let’s tackle their key points:

1. Anyone who claims their analysis is the final word shouldn’t be trusted. Science is all about questioning and being open to be questioned. These “scientists” are claiming they got it right and the case is closed. The NZ data has lots of signals. Just because these two people are incapable of finding the signal is not proof that the signal isn’t there. And the fact that they never look at the time series data and claim no signal is preposterous. They’ve both destroyed their credibility here.
2. Wow. Maybe you should get to the bottom of the mortality rise issue before declaring the data Barry released don’t show anything?
3. The curve they show is too confounded to show anything. And then they give a hand-waving “This curve shows nothing but a slight increase explained by the aging of the cohort.” Really? Where is the evidence behind that statement?
4. There are less deaths in the cohorts when they first get the shot. It’s called HVE and there are two types. I talk extensively about this in my upcoming article on the NZ data. They are completely unaware of the effect which tells you that they are newbies with respect to analyzing vaccine safety data.
5. Where is the evidence this was “bait?” AFAIK, there has NEVER in human history been a case where a health authority released manipulated data in the guise of a data breach. Any health authority that pulled such a stunt would destroy any remaining credibility that they had. There is no such thing in human history AFAIK. The authors do not cite a precedent. I’ve spent hours talking to Barry and nearly 2 months analyzing the data and I am constantly amazed how it passes all the statistical “tests” I throw at it. I analyzed it in ways nobody would have thought of and the data is well behaved with no anomalies. If the data is bait, where is the proof in the data or in an admission? These people are simply making this stuff up out of thin air.

Igor Chudov’s analysis

Igor had the good sense to re-think his earlier comments. See this post.

The Barry Young analysis by lot number and the M.O.A.R. analysis

I have been focused on the big picture (the time series cohort analysis).

I have not had a chance to look at the lot number analysis in detail. There are 124 lots to look at.

Here’s an example of a huge safety signal in Lot #10:

This pattern is impossible for a safe vaccine.

Yet none of the “experts” will be able to tell you why! I’ll reveal why in my upcoming article. Everyone who claims to be able to analyze data should be talking about this!

Here’s another example to show this wasn’t a fluke:

And here’s a third example that is even more stunning than the previous 2 charts:

Again, the “experts” have absolutely no clue why these charts are so stunning. That’s one of many reasons they say this data is a nothing burger.

What they are really saying to you is “I don’t know how to analyze this data, but I’m going to attempt to convince you that I know what I’m doing and that Steve Kirsch doesn’t.”

History has shown that is a losing proposition.

But just to make this crystal clear to everyone….

My offer to anyone who think there is not a serious safety signal in the leaked NZ data or that the data was gamed or unusable

I’m willing to bet $250K or more that the data is legit and shows a serious safety signal. Anyone want to take my bet? Same terms as my bet with Saar Wilf (neutral panel of expert epidemiologist judges picked by a mutually agreeable consulting firm who vote secretly).

I set the bar at $250K but I’m willing to go to $10M on this one.

I predict crickets.

People who claim I’m wrong and who won’t accept my bet are basically telling you that they have no confidence whatsoever in their analysis.

In Texas, they have a saying for that: “Big hat, no cattle.”

Money is a great way to make that clear to people.

Here’s an example of Globalist lying: the ice mass of Antarctica is not shrinking.