Miss Conceptions ๐Ÿ“ˆthat prove that Correlation โ‰  Causation are not as popular or necessary as they used to be.

This is because many are doing similar work - but in greater depth. However, for those with the taste / need here is a collection not on other ๐Ÿงตs

1โƒฃ ๐Ÿ‡ฎ๐Ÿ‡ฑ๐Ÿ’‰๐Ÿ’‰๐Ÿ’‰ vs ๐Ÿ‡ธ๐Ÿ‡ช
๐Ÿ‡ฆ๐Ÿ‡บ๐Ÿ’‰โšฐ๏ธ (VAERS or Yellow Card equivalent?)

Jerusalem vs Tel Aviv Jaffa
Israeli population centres.

Bnei Brak vs Savyon (and the rest).
Link to ๐Ÿงต & more including sources.
๐Ÿ‡ซ๐Ÿ‡ฏ โž• & ๐Ÿ’‰
๐Ÿ‡ฒ๐Ÿ‡บ โž• & ๐Ÿ’‰

Post hoc ergo propter hoc is a fallacy!!!!
Post hoc ergo propter hoc is a fallacy!!
Not my chart, an interesting chart spoiled by my scrawlings.

Correlation does not equal causation.

Just remembered who to credit for the original before the graffiti. @RealJoelSmalley
๐Ÿ‡ฆ๐Ÿ‡น dose ๐Ÿ’‰ & dose ๐Ÿ’‰๐Ÿ’‰ and... something coincidental.

๐Ÿ‡ฆ๐Ÿ‡น๐Ÿ‘ฑโ€โ™‚๏ธโšฐ๏ธ Men

Hard work: @OS51388957
Same data, different presentation.


2021 vs 2020: a set of comparable weeks.
Link to ๐Ÿ‡ฆ๐Ÿ‡น sources.
I'm pretty sure that @stevin2021 put together this surprising comparison.
Sorry I forgot to add the flags for the countries which @stevin2021 has specialist knowledge, especially on the data.

๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟโšฐ๏ธ
๐Ÿ‡บ๐Ÿ‡ธ vs ๐Ÿ‡ฒ๐Ÿ‡ฝ





๐Ÿ‡ท๐Ÿ‡ธ booster

๐Ÿ‡ท๐Ÿ‡ธ number ๐Ÿ’‰๐Ÿ’‰๐Ÿ’‰


๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟโค๏ธ๐Ÿ’”๐Ÿ†™โคด๏ธ
๐Ÿ‡ฎ๐Ÿ‡ฑ compared with ๐ŸŒ
๐Ÿ’‰๐Ÿ‡ฒ๐Ÿ‡พ vs Dr Ivor McTinn ๐Ÿ‡ฎ๐Ÿ‡ฉ
๐Ÿ‡ฎ๐Ÿ‡ฑ vs ๐Ÿ‡ณ๐Ÿ‡ฑ


โ€ข โ€ข โ€ข

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More from @MConceptions

12 Oct
THIS ๐Ÿ‘‡ could NEVER happenโ—๏ธ

1โƒฃ Whole ๐ŸŒ relies on ๐Ÿ‡ฎ๐Ÿ‡ฑ๐Ÿ’‰data to prove it is SAFE & EFFECTIVE

2โƒฃ ๐Ÿ‡ฎ๐Ÿ‡ฑ Ministry of Health (IMOH) publishes ๐Ÿ’‰๐Ÿ”ข

3โƒฃ Others check ๐Ÿ”ข

4โƒฃ IMOH notices 3โƒฃ

5โƒฃ IMOH changes ๐Ÿ’‰๐Ÿ”ข

6โƒฃ IMOH gets caught ๐Ÿ‘ฎโ€โ™€๏ธ doing 5โƒฃ

7โƒฃ The ๐Ÿ”ข change is VERY OBVIOUS.

Nah. ๐Ÿงต Image
But why would 2โƒฃ, the public display of Airport Data (๐Ÿ’‰๐Ÿ”ข) be significant? Arrivals in ๐Ÿ›ฌ๐Ÿ‡ฎ๐Ÿ‡ฑ..

Could it be the one population where everyone is checked & tested & therefore is free of one obvious form of data bias?


I don't know, perhaps we should ask an expert...
How about an expert who instead of being someone working for an agenda, we refer to an real expert, e.g. Dr. Yaffa Shir-Raz (Ph.D., University of Haifa, Israel) a health & risk communication researcher.

What if she and other researchers looked at it?
Read 7 tweets
11 Oct

The Israelis and the Palestinians have been narrowing their differences recently.
Who would've thought that unity would be found in graphs.
In earlier times it looked as though ๐Ÿ‡ฎ๐Ÿ‡ฑ & ๐Ÿ‡ต๐Ÿ‡ธ were moving in opposite directions.
Read 4 tweets
11 Oct
How does one reconcile a chart like the one below with claims that the Israeli data looks good?

Looks like work by Yaffa Shir-Raz, Ph.D @YaffaRaz
might solve the puzzle.

Link to work and translation from @connolly_s plus more from @daridor & others in the thread.
Before the links a hint as to what this might be about.
This translation looks interesting... @Alon_Mizrahi
Read 9 tweets
12 Sep

With more than 211 ๐Ÿ’‰ doses per 100 people Seychelles ๐Ÿ‡ธ๐Ÿ‡จ is the most highly ๐Ÿ’‰๐Ÿ’‰ country in the whole ๐ŸŒ๐ŸŒ๐ŸŒŽ.

DESPITE this (& coincidentally) more than 99% of the ๐Ÿ‡ธ๐Ÿ‡จ Covid โšฐ๏ธ have been since they launched their ๐Ÿ’‰ on 9th January 2021.

Reminded of Seychelles ๐Ÿ‡ธ๐Ÿ‡จ by @stevin2021...

But we tweeted about Seychelles ๐Ÿ‡ธ๐Ÿ‡จ before - see this thread.
Seychelles ๐Ÿ‡ธ๐Ÿ‡จ featured on our GREAT VAXX race thread back in April.

๐Ÿƒโ€โ™‚๏ธ๐Ÿ’‰ The ๐ŸŒŽ ๐Ÿ’‰ Race ๐Ÿ’‰๐Ÿƒโ€โ™‚๏ธ
Read 4 tweets
11 Sep
๐Ÿ‡ฎ๐Ÿ‡ฑ 2020 vs 2021 ๐Ÿ‡ฎ๐Ÿ‡ฑ

Looking at a heat map of ๐Ÿ‡ฎ๐Ÿ‡ฑ data I'm wondering if there is a change in the patterns between 2020 & 2021.


Why the change in the relationship between the different ages? Is there something that different age groups did at different times?
If you want to see the original without my ugly arrows, lines & words then please look at it here below.๐Ÿ‘‡๐Ÿป

Also, in the next tweet I will link to Professor Shahar's comments.

Do you see what I think I can see? Is there some scope here for data analysts to investigate further?
Prof Shahar comments ๐Ÿ‘‡๐Ÿป
Read 4 tweets
2 Sep
๐Ÿ‡ฎ๐Ÿ‡ฑ 3rd DOSE ๐Ÿ’‰๐Ÿ’‰๐Ÿ’‰ ๐Ÿ‡ฎ๐Ÿ‡ฑ

๐Ÿ‡ฎ๐Ÿ‡ฑ launched ๐Ÿš€ their 3rd dose ๐Ÿ’‰๐Ÿ’‰๐Ÿ’‰ on July 30th.

This โ†—๏ธ the overall daily rate of ๐Ÿ’‰ which peaked for August (rolling 7 day average) on the 26th.

By COINCIDENCE the โšฐ๏ธ rate (7 day average) peaked the next day.

Correlation โ‰  causation.

๐Ÿ‡ฎ๐Ÿ‡ฑ's daily ๐Ÿ’‰ rate peaked for August on the 26th*.

By COINCIDENCE their daily โšฐ๏ธ rate* peaked for that month on the following day.

Correlation โ‰  Causation

*Rolling 7 day average.

๐Ÿ‡ฎ๐Ÿ‡ฑ had launched their 3rd dose on 30th July, hence the increase in the daily ๐Ÿ’‰ rate.
What a coincidenceโ—๏ธ

I bet that's never happened before. ๐Ÿค”
Read 4 tweets

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