Main

type

5

status

21

review version

1

cleanup version

0

pending deletion

0

created at

2025-02-25 03:17:56

updated at

2025-12-02 21:14:32

Address

url

https://vaccinedatascience.substack.com/p/three-ways-to-improve-v-safe-analysis

url length

79

url crc

57654

url crc32

1234559286

location type

1

canonical status

10

canonical page id

1839868321

Source

domain id

4208397

domain tld

2211

domain parts

3

originating warc id

-

originating url

https://vaccinedatascience.substack.com/sitemap.xml

source type

1

Server response

server ip

104.18.37.200

pubdate

2025-12-02 21:14:32

attempts

1

size orig

150935

size saved

55016

Content

page id

1839868321

title

excerpt

content

In my previous article I mentioned that the hospitalization rate of v-safe registrants was not likely to be as high as what the folks at ICAN are saying, nor as low as what the CDC is claiming. Were fewer than 0.1% of v-safe registrants hospitalized?Aravind Mohanoor·August 23, 2024A few weeks back I wrote that Debunk the Funk Dan Wilson had mentioned the following in his video about the ICAN lawsuit:Read full storyBut why is it so difficult to just look at the data and do the calculation?There are three reasons - the first one is that anyone could sign up for v-safe, making the denominator much, much larger than the 10 million people who actually registered. The second reason is that it is quite hard to visualize the v-safe data because each registrant has their own timeline1. The third reason is that the sheer size of the dataset (such as the nearly 150 million rows in the consolidated checkin CSV file) makes it quite hard to run aggregate queries. I suggest three approaches to solve...

author

Aravind Mohanoor

updated

1767597837

Text analysis

block type

0

extracted fields

36

extracted bits

article author
full content

detected location

0

detected language

1 (English)

category id

-

index version

1

paywall score

0

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

4908

text words

1105

text unique words

419

text lines

106

text sentences

41

text paragraphs

19

text words per sentence

26

text matched phrases

0

text matched dictionaries

0