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StatsBot2.0 #MPAQ #KMPQ #Stats
Beamship has been around for 538 days
Stats as of 04-06-2025 23:10

*Fedi Stats*
Gained MAU (1,197,632) +1197632
Gained Instances (17,005) +17005

*MPAQ Stats*
Found New domains (12,476) +12476
MPAQ missing domains (Fedi) 4,529

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StatsBot2.0 #MPAQ #KMPQ #Stats
Beamship has been around for 531 days
Stats as of 03-30-2025 20:05

*Fedi Stats*
Gained MAU (1,230,885) +1230885
Gained Instances (17,586) +17586

*MPAQ Stats*
Found New domains (12,549) +12549
MPAQ missing domains (Fedi) 5,037

Dogs (3) equal with Cats (3)
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StatsBot2.0 #MPAQ #KMPQ #Stats
Beamship has been around for 524 days
Stats as of 03-23-2025 13:05

*Fedi Stats*
Gained MAU (1,282,853) +1282853
Gained Instances (18,253) +18253

*MPAQ Stats*
Found New domains (12,449) +12449
MPAQ missing domains (Fedi) 5,804

Dogs (74) is/are beating Cats (48)
DogsOfMastodon vs CatsOfMastodon
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StatsBot2.0 #MPAQ #KMPQ #Stats
Beamship has been around for 521 days
Stats as of 03-20-2025 18:05

*Fedi Stats*
Gained MAU (1,288,923) +1288923
Gained Instances (18,505) +18505

*MPAQ Stats*
Found New domains (12,511) +12511
MPAQ missing domains (Fedi) 5,994

Dogs (65) is/are beating Cats (56)
DogsOfMastodon vs CatsOfMastodon
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Replied in thread

DOGE’s Dodgy Numbers Employ a Tesla Technique

#Safety researchers claim Elon Musk’s auto company has a long #history of potentially misleading #stats. Now it looks like his #government dept is following suit.
wired.com/story/doges-dodgy-nu

#DOGE “put out some numbers, they didn’t smell good, they switched things around,” alleges Noah Goodall, an independent transportation researcher. “That screamed #Tesla. You get the feeling they’re not really interested in the #truth.”

StatsBot2.0 #MPAQ #KMPQ #Stats
Beamship has been around for 520 days
Stats as of 03-19-2025 02:10

*Fedi Stats*
Gained MAU (1,274,224) +1274224
Gained Instances (18,651) +18651

*MPAQ Stats*
Found New domains (12,454) +12454
MPAQ missing domains (Fedi) 6,197

Dogs (15) is/are beating Cats (13)
DogsOfMastodon vs CatsOfMastodon
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StatsBot2.0 #MPAQ #KMPQ #Stats
Beamship has been around for 515 days
Stats as of 03-14-2025 17:10

*Fedi Stats*
Gained MAU (1,299,690) +1299690
Gained Instances (19,100) +19100

*MPAQ Stats*
Found New domains (13,392) +13392
MPAQ missing domains (Fedi) 5,708

Dogs (98) is/are beating Cats (76)
DogsOfMastodon vs CatsOfMastodon
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StatsBot2.0 #MPAQ #KMPQ #Stats
Beamship has been around for 495 days
Stats as of 02-22-2025 23:05

*Fedi Stats*
Gained MAU (1,340,506) +1340506
Gained Instances (19,479) +19479

*MPAQ Stats*
No new domains
MPAQ missing domains (Fedi) 19,479

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DogsOfMastodon vs CatsOfMastodon
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Last Summer, my student intern Scarlett Spackman put together a great document about accessible teaching for #maths, #stats and #physics.
Under two headers, "Why should I care?" and "Advice", Scarlett makes the case for improving accessibility and then offers practical ways of achieving that.

I've finally got the go-ahead to share it more widely:

mas.ncl.ac.uk/accessible-teach

www.mas.ncl.ac.ukAccessible teaching for Maths, Stats and Physics
Replied in thread

@data @datadon 🧵

How to assess a statistical model?
How to choose between variables?

Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.

If monotonic relationship:
"#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
"#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
Ref: statisticseasily.com/kendall-t

LEARN STATISTICS EASILY · Kendall Tau-b vs Spearman: Which Correlation Coefficient Wins?Discover why Kendall Tau-b vs Spearman Correlation is crucial for your data analysis and which coefficient offers the most reliable results.
Replied in thread

"In real life, we weigh the anticipated consequences of the decisions that we are about to make. That approach is much more rational than limiting the percentage of making the error of one kind in an artificial (null hypothesis) setting or using a measure of evidence for each model as the weight."
Longford (2005) stat.columbia.edu/~gelman/stuf