New Fruit Sandwiches of Ginza Cozy Corner in Japan

Strawberry Sandwiches

Ibaraki Prefecture Melon Sandwiches

The fruits in the sandwiches are mixed with whipped cream and cheese cream. The prices for the sandwiches are 820 yen (strawberry) and 880 yen respectively (tax included).

How the CDC Is Manipulating Data to Prop-up “Vaccine Effectiveness”

Kit Knightly wrote . . . . . . . . .

New policies will artificially deflate “breakthrough infections” in the vaccinated, while the old rules continue to inflate case numbers in the unvaccinated.

The US Center for Disease Control (CDC) is altering its practices of data logging and testing for “COVID-19” in order to make it seem the experimental gene-therapy “vaccines” are effective at preventing the alleged disease.

They made no secret of this, announcing the policy changes on their website in late April/early May, (though naturally without admitting the fairly obvious motivation behind the change).

The trick is in their reporting of what they call “breakthrough infections” – that is people who are fully “vaccinated” against Sars-Cov-2 infection, but get infected anyway.

Essentially, COVID-19 has long been shown – to those willing to pay attention – to be an entirely created pandemic narrative built on two key factors:

  1. False-postive tests. The unreliable PCR test can be manipulated into reporting a high number of false-positives by altering the cycle threshold (CT value)
  2. Inflated Case-count. The incredibly broad definition of “COVID case”, used all over the world, lists anyone who receives a positive test as a “COVID-19 case”, even if they never experienced any symptoms.

Without these two policies, there would never have been an appreciable pandemic at all, and now the CDC has enacted two policy changes which means they no longer apply to vaccinated people.

Firstly, they are lowering their CT value when testing samples from suspected “breakthrough infections”.

From the CDC’s instructions for state health authorities on handling “possible breakthrough infections” (uploaded to their website in late April):

For cases with a known RT-PCR cycle threshold (Ct) value, submit only specimens with Ct value ≤28 to CDC for sequencing. (Sequencing is not feasible with higher Ct values.)

Throughout the pandemic, CT values in excess of 35 have been the norm, with labs around the world going into the 40s.

Essentially labs were running as many cycles as necessary to achieve a positive result, despite experts warning that this was pointless (even Fauci himself said anything over 35 cycles is meaningless).

But NOW, and only for fully vaccinated people, the CDC will only accept samples achieved from 28 cycles or fewer. That can only be a deliberate decision in order to decrease the number of “breakthrough infections” being officially recorded.

Secondly, asymptomatic or mild infections will no longer be recorded as “COVID cases”.

That’s right. Even if a sample collected at the low CT value of 28 can be sequenced into the virus alleged to cause COVID-19, the CDC will no longer be keeping records of breakthrough infections that don’t result in hospitalisation or death.

From their website:

As of May 1, 2021, CDC transitioned from monitoring all reported vaccine breakthrough cases to focus on identifying and investigating only hospitalized or fatal cases due to any cause. This shift will help maximize the quality of the data collected on cases of greatest clinical and public health importance. Previous case counts, which were last updated on April 26, 2021, are available for reference only and will not be updated moving forward.

Just like that, being asymptomatic – or having only minor symptoms – will no longer count as a “COVID case” but only if you’ve been vaccinated.

The CDC has put new policies in place which effectively created a tiered system of diagnosis. Meaning, from now on, unvaccinated people will find it much easier to be diagnosed with COVID-19 than vaccinated people.


Person A has not been vaccinated. They test positive for COVID using a PCR test at 40 cycles and, despite having no symptoms, they are officially a “COVID case”.

Person B has been vaccinated. They test positive at 28 cycles, and spend six weeks bedridden with a high fever. Because they never went into a hospital and didn’t die they are NOT a COVID case.

Person C, who was also vaccinated, did die. After weeks in hospital with a high fever and respiratory problems. Only their positive PCR test was 29 cycles, so they’re not officially a COVID case either.

The CDC is demonstrating the beauty of having a “disease” that can appear or disappear depending on how you measure it.

To be clear: If these new policies had been the global approach to “COVID” since December 2019, there would never have been a pandemic at all.

If you apply them only to the vaccinated, but keep the old rules for the unvaccinated, the only possible result can be that the official records show “COVID” is much more prevalent among the latter than the former.

This is a policy designed to continuously inflate one number, and systematically minimise the other.

What is that if not an obvious and deliberate act of deception?

Source : Off Guardian

COVID-19 Is Not Influenza, but It Offers Lessons on Beating It

Patrick Lejtenyi wrote . . . . . . . . .

If you did not catch the flu this year — and there is an overwhelming chance that you did not — you have COVID-19 to thank.

It’s a small consolation, given the enormously disruptive scope of the pandemic. But it’s the focus of a new paper published in the journal Frontiers in Public Health by two Concordia researchers and their colleagues that studies the 2020 influenza figures from Canada, the United States, Australia and Brazil. The authors show there is a clear relationship between the implementation of COVID-mitigation measures such as hand-washing, masking and social distancing and the spread of the annual flu.

They write that these preventive measures all but eliminated the flu in countries where it can kill tens of thousands of people a year, even as cases of COVID-19 soared.

“With the introduction of COVID-19 mitigation measures, we saw a steep decline in influenza cases in the northern hemisphere,” says Jovana Stojanovic, a postdoctoral fellow in the Department of Health, Kinesiology and Applied Physiology and the lead author of the paper.

“Then we also observed that as COVID-19 cases went up and down in different ways, influenza was basically annulled across both the north and south hemispheres. That speaks volumes about how contagious COVID-19 is compared to influenza.”

Simon Bacon, a professor of health, kinesiology and applied physiology, co-authored the paper, along with Vincent Boucher and Kim Lavoie at UQAM as well as Jacqueline Boyle and Joanne Enticott of Monash University in Australia.

No peaks, all valleys

The researchers initially had two objectives. The first involved using data from FluNet, the World Health Organization’s influenza virological surveillance tool. They wanted to see how the epidemiological pattern of the 2019-20 influenza tracked onto the evolution of the COVID-19 pandemic after the introduction of public mitigation measures were introduced in Canada, the United States, Australia and Brazil.

The second was to combat the misleading statements and disinformation being circulated worldwide that COVID-19 was similar to influenza. Their graphs below clearly show the stark differences in transmissibility between the influenza and novel coronavirus.

“In the northern hemisphere, we initially had overlapping flu and COVID-19 cases,” Bacon says. “When we introduced basic measures like hand-washing, social distancing and wearing masks, the flu was almost totally obliterated while COVID kept going.”

See large image . . . . .

The researchers note that the first two graphs, looking at Canada and the United States, show significant reduction of influenza cases compared with the averages of the four previous years after mitigation efforts were introduced (indicated by the solid black line). Flu season, which usually runs from October to May, effectively ended a month earlier in Canada and almost two months earlier in the United States. Cases remained close to nil at the start of the 2020 flu season in both countries, which roughly coincided with the second COVID-19 wave.

The next two graphs, showing figures from Brazil and Australia, reveal similar figures. Flu season in the southern hemisphere lasts from May to November but in these cases, there was no traditional mid-year spike for flu, though COVID-19 was nearing its second-wave high. Flu cases remained near zero through the end of the year.

Easy steps

These findings offer lessons for public health authorities as we eye a post-COVID future, Bacon explains.

“We know the flu is particularly problematic for older individuals and those with respiratory conditions and so on,” he says. “When we interact with people in those high-risk brackets, we should maintain some measures like handwashing, mask-wearing and social distancing. We’re used to them now, so maintaining them moving forward is probably a good idea.”

Source: Concordia University

Seedy Bread with Almond Butter and Pear


1-1/2 cups rolled oat
1-1/2 cups quinoa flakes
1 cup sunflower seeds
1 cup pepitas (pumpkin seeds)
2/3 cup flaxseeds
1/2 cup white chia seeds
1/2 cup coarsely chopped almond kernels
1/2 cup coarsely chopped hazelnuts
1/2 cup psyllium husks
2 tsp sea salt flakes
3-1/2 cups warm water
2 tbsp raw honey
2/3 cup coconut oil, melted
1/4 cup almond butter
1 medium Packham pear, sliced thinly
1 tbsp olive oil


  1. Grease a 1.5-litre (6-cup), 5-1/2-inch x 9-1/2-inch loaf pan. Line the base and two long sides with baking paper, extending the paper over the edge.
  2. Place dry ingredients in a large bowl. Place the water, honey and coconut oil in a large jug; stir until dissolved. Pour over dry ingredients and stir to combine. (The mixture will be firm, if it is too stiff add extra tablespoons of water, one at a time.)
  3. Spoon seed mixture into pan. Shape with your hands into a loaf shape. Cover surface with plastic wrap. Stand at room temperature for 2 hours to allow ingredients to absorb the liquid and set the bread into shape.
  4. Preheat oven 200°C/400°F.
  5. Bake bread for 30 minutes.
  6. Invert bread onto a wire rack on an oven tray and peel away lining paper. Return bread to oven on tray. Bake a further 1 hour 20 minutes or until a skewer inserted into the centre comes out clean. Leave 3 hours or until completely cool before slicing.
  7. To serve, spread 4 slices of bread with almond butter, top with pear slices. Drizzle with olive oil. Divide between two serving plates.

Makes 2 servings.

Source: Everyday Power Foods

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