None of the efficacy outcomes were pre-registered with ClinicalTrials.gov. Only these:
Primary
Proportion of Successfully Completed Treatments
Secondary
Device comfort
Device ease of use
Clarity of instructions
I realized the main reason I got a smaller R2 value was because I used the trend values based only on the last year of search data, while Murph used the data based on searches from 2004 to present. From the blog post:
In my view, if a study describes itself as exploratory and does not do multiple test correction, then what it is saying is that no efficacy conclusions can be drawn from the data, where instead the results are meant to be used as a reference for seeing if the most significant findings replicate...
They asked about many ancestries. I checked the associations with all of them in these two posts:
- https://www.s4me.info/threads/a-crumb-of-a-clue-on-epidemiology.49455/post-682605
- https://www.s4me.info/threads/a-crumb-of-a-clue-on-epidemiology.49455/post-682794
For comparison, here are the plots for association of 5 year search data for the ME/CFS topic with English ancestry and education:
Interestingly, if instead using the specific search term "chronic fatigue syndrome" over the same time frame, the association with English ancestry gets stronger...
I like your thinking.
I used the 2024 5-year average S1501 "Educational Attainment" dataset, specifically the column for percent of those at least 25 years old that have a bachelor's degree.
Same 5-year English ancestry and 1-year Trends data as before.
There does seem to be a correlation of...
If you highlight text, there should be a popup like this:
Pressing Reply instantly adds it to the message box as a quote.
Pressing Quote adds it to a hidden list of quotes that you can then insert into the message box with the "Insert Quotes" button that appears near the message box.
Hm. I really thought it might be that people with higher income search ME/CFS more, as they might have better access to resources that would make them aware of what ME/CFS is. And maybe states with larger proportions of Northern European or British ancestry would have higher average income.
But...
This page seems to suggest that if you are looking at a simple search term, then it will show trends just for that specific term in that language. But if you search by a "Topic", then it tracks trends across different translated versions of that topic.
-...
This was showing lots of UK countries at the top, and I realized that it may be because people could report multiple ancestries.
From an overview of these datasets:
I (and I think Murph) used B04006, which counts up to two ancestries per person. So, for example, the correlations for Scottish...
I agree with you and Yann, and I think the most likely reason for the correlation is for some reason more awareness of ME/CFS in people with British ancestry. But I think it's a fun idea that has a small chance of actually being about prevalence.
Hmm, I'm not sure.
The values in the plots are only relative to the other time periods within the same state, so we can't compare volume between states just from looking at the individual state plots. It might be that the search volume is consistently high throughout the year, but the spike of...
Definitely doesn't necessarily hold.
But I thought it was possible that people who speak another language at home might either be less likely to have heard the term ME/CFS, or less likely to search for it in English.
So I wanted to rule that out as an explanation for states with higher British...
I was wondering if it might be that states with larger populations with UK ancestry have a larger English speaking population, so might be more likely to search for "ME/CFS".
I found census data for "Language spoken at home" for each state...
For some reason Mississippi has extremely high searches for MS, making the regression not very reliable:
Without Mississippi:
So not a very strong correlation between MS searches and ME/CFS searches.
Here is the regression predicting proportion with English ancestry from MS searches, and a...
Effects of predicted Khamisiyah exposure on default mode network resting state functional connectivity in Gulf War Veterans
Chao, Linda L.; Torrisi, Salvatore
Introduction
Potentially more than 100,000 US troops were exposed to organophosphorus (OP) nerve agents when an ammunition bunker at...
Very interesting!
I tried to see if I could replicate it.
Data I used:
Google Trends (3/23/25 - 3/23/26): https://trends.google.com/trends/explore?q=/m/0dctd&geo=US&legacy&hl=en
Ancestry data from US Census Bureau (listed as the data source for the website you referenced in your article)...
Persistent class switch toward spike-specific IgG4 antibodies after repeated SARS-CoV-2 mRNA vaccination in post-acute infection syndrome: an exploratory cohort study
Ana M. Espino, Carlimar Ocasio-Malavé, Riseilly Ramos, Ramon Sanmartin, Jesus Castro-Marrero
Abstract
Myalgic...
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