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linus-wickworth · 3 years ago

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Druck Season 8 - Episode 2 Stats

Another week gone, so here’s another recap of how all our numbers are looking.

Video Views

Mailin’s clips on their own are getting an average of 96k per clip, compared to 86k Isi, 116k Fatou, and 155k Nora. Her numbers are looking great at this stage in the season.

Compared to Isi’s first two weeks, Isi has two clips at 75k (even months later) while Mailin has no clip under 81k (and that was the Thursday clip, so it will continue to grow).

As for the full episodes, episode one has reached 174k which has not yet reached Isi’s worst episode, but has been steadily rising each day.

Chats

I’m not keeping track of when chats are posted, so this is a running total for the entire season.

Mailin: 19 chats

Fatou: 14 chats

Nora: 8 chats

And everyone else is under 6 chats. Yara has had 5 chats this season, which is equal to the total amount of chats in the previous seasons combined. Huelk has returned, with his first chat since season 5.

Instagram Followers

Here is how much they’ve gained since episode one.

Yara: 8592 followers (though is an outlier)

Finn: 1479 followers

Mailin: 1372 followers

Kieu My: 702 followers

Sascha: 683 followers

Nora: 648 followers

Isi: 610 followers

Fatou: 543 followers

Josh: 505 followers

Consti: 430 followers

Ava: 372 followers

Zoe: 484 followers

Lou: 142 followers

Since the end of season 7, all characters have regained their lost followers except for Fatou (17 behind), Ava (133 behind), Nora (222 behind), Lou (231 behind), and Josh (368 behind).

Instagram Posts

Once more, I’m not tracking WHEN they were posted so this is a running today for all of season 8,

Isi: 4 total posts, equaling 40k likes/411 comments. She’s averaging 10k likes per post, up from 7k last season. 25.69% of her followers are engaging with her posts.

Kieu My: 5 total posts, equaling 37k likes/141 comments. She’s averaging 7k likes per post, down from 8k last season. 23.84% of her followers are engaging with her posts.

Fatou: 5 total posts, equaling 28k likes/93 comments. She’s averaging 5k likes per post, down from 9k last season. 17.87% of her followers are engaging with her posts.

Nora: 3 total posts, equaling 23k likes/63 comments. She’s averaging 7k likes per post, down from 8k last season. 25.37% of her followers are engaging with her posts.

Josh: 4 total posts, equaling 17k likes/37 comments. He’s averaging 4k likes, down from 6k last season. 19.59% of his followers are engaging with his posts.

Zoe: 8 total posts, equaling 13k likes/90 comments. She’s averaging 1k per post, down from 2k last season. 12.54% of her followers are engaging with her posts.

Mailin: 4 total posts, equaling 13k likes/34 comments. She’s averaging 3k likes per post, up from 2k last season. 18.86% of her followers are engaging with her posts.

Sascha: 1 total post, equaling 7k likes/83 comments. He’s averaging 7k likes per post, up from 5k last season. 38.06% of his followers are engaging with his posts.

Finn: 3 total posts, equaling 7k likes/33 comments. He’s averaging 2.6k per post, up from 2.5k last season. 25.40% of his followers are engaging with his posts.

Ava: 3 total posts, equaling 6k likes/18 comments. She’s averaging 2k likes per post, down from 3k last season. 14.99% of her followers are engaging with her posts.

Consti: 1 total post, equaling 4k likes/100 comments. He’s averaging 4.2k likes per post, down from 4.7 last season. 15.19% of his followers are engaging with his posts.

Yara: 3 total posts, equaling 4k likes/62 comments. She’s averaging 1.2k likes. 14.78% of her followers are engaging with her posts.

Lou: Has made no posts yet.

Druck Addicts: 35 total posts, equaling 223k likes/2k comments. They’re averaging 11k likes per post, up from 8k last season. 11.35% of their followers are engaging with their posts.

The Time of Clips

In episode two, we had a total of 5 clips, then the additional Friday clip. The earliest clip was 09:55, the latest was 22:26. The average time for a clip to drop this season is 16:10.

Wait Times

In episode two, the shortest we had to wait was 15.16 hours, the longest was 45.42, the average was 28 hours. This puts Mailin at an overall average of 29.24 hour wait time, compared to 29.09 Isi, 29.30 Fatou, and 29.38 Nora.

Episode Lengths

Episode one was 20.13 minutes, the second 24.29 minutes. This is an average of 22.21 minutes. Compared to the averages of: 22.10 Isi, 24.10 Fatou, and 28.15 Nora.

Clip Lengths

This weeks shortest clip was 1.56 minutes, and the longest was 6.47. Mailin’s average clip length for this season is 3.92 minutes; compared to 3.75 Isi, 4.14 Fatou, and 5.00 Nora.

Scene Sharers

Fatou and Finn: 6 scenes / 54% of screentime.

Ava and Nora: 4 scenes / 36% screentime.

Isi, Josh and Zoe: 3 scenes / 27% screentime.

Consti, Kieu My and Sascha: 2 scenes / 18% screentime.

Alone, Ben, Lou, Mama, Thomas, Yara: 1 scene / 9% screentime.

#Druck #druck season 8

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fffinnagain · 4 years ago

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10 Years of Sherlock (TV) AO3 stats!

Sherlock fans, new and old, click below to read a long list of graphs and comments about our communities fanworks over the last 10 years. I scraped AO3 again and demonstrate that:

More creators are writing longer works in 2020

Readers engaged more as the fandom changed after S4

Top ten new tags per year for the last 10 years

And a lot more.

PS the code to gather this data and analyse it can be found way over here.

Activity over 10 years

The last 10 years in the BBC Sherlock fandom have been tumultuous, but this community persists, with engagement from new fans and continued creative output. To commemorate over a decade of squee, I’ve done another scrape of the fandom’s imprint on the Archive of Our Own and will share some insights from the numbers in these plots. A very late update on my post S4 snapshot from 2018.

Note: This analysis is of completed public fanworks only, about 101000 of the 122000 Sherlock (TV) works available at present. This is to remove the late WIP effect, which adds a bulge to the last few months, and out of respect to creators who wish to have their material reserved for other registered AO3 users.

The works are still coming

Counting the number of works posted per day, we can see the peaks associated with each series airing (in UK and US). After that, the number of works continues fairly evenly, 20-30 per day, plus seasonal peaks. This rate is continuing on without a hint of new canon in sight. So who is posting all this work?

Creator-waves, monthly output

Years ago I started plotting creator waves, basically I group fanwork producers by the year they first posted to the fandom and then count how many of this group are active in later time intervals. This lets us get a sense of how long people are contributing and whether new fans are getting the urge to create.

This plot of the Sherlock (TV) fanworks on AO3 shows the standard shape of plump participation in the first year of any given set of creators, followed by a slowly thinning tail as they because less active over time. Turnover is natural in fandoms, with most only posting a work or two within a fairly limited amount of time, while a precious few persist for years. The surprise for me here is that the ratio of new creators is higher in 2020 than it was in 2019. Maybe the excuse of lockdown encouraged more folks to take a turn at creating content.

Another way to look at the output of fan creators on AO3 is to see the total amount of words being shared across all fanworks. The total has been pretty close to 300-400k words per month since 2018! To get a sense of what that means per work, I also plotted the median number of words per fanwork in these monthly sets. The median in higher in the last year than it had been staying for a while.

Reader behaviour: Hits & Kudos & Comments

Fan creators are only part of the story. Stats on engagement are a bit trick to interpret, I’ve got some plots here that tell us something about how works have been engaged with over time.

The obvious first to consider is Hits. Above is the total number of Hits given to works published each month. This is the current totals, not a historical snapshot, so we have a very strong bias towards early works, what we might call the Classics Effect. Works that have been around longer have had the chance to be seen by more people, and in particular those works that become must-read classics in a fandom, extending their exposure through prominence in top ranked works and recommendations.

To cut down on the advantage of the classics, we can also consider median hits per work for each month. As most works get a lot attention when they are first posted and then fade out of sight, the median number of hits reflects instead the ratio of readers to creators, basically how many eyeballs are around to look at the latest work, regardless of status. The median plot shows how the hyper-visibility of the few work available before 2012, and then a more steady curve once the fandom had gotten established on the platform after Series 2. Amazingly, the hit rate for the median work was steady through the big bumps in activity with later series, a 1000 hits for median works between 2013 and 2018, followed by a slow decline. I’d expect the 2020 works to continue gaining for a few months yet, but the median is probably 50-60% of what is was when the show was in production.

Kudos counts and medians show a similar story to hits, but there is a dip down around 2013 for kudos reflects the frenzy of productivity that saw the fandom grow during the Series 2 hiatus. Readers were getting spoiled! From the airing of Series 3 (2014) until a year following Series 4 (2018), the median work received an even 60ish kudos and 1000 hits, a niche audience that decreased to 50/750 through 2018-2019. The numbers of 2020 suggest a smaller community of readers again, though these numbers may still rise a bit in the next few months before the median works are forgotten.

The statistic that tells a different story is Comments. Looking at the total comments counts, there isn’t a drop after Series 3 (2014). Instead, the fandom compensated for changing numbers with more feedback and discussion attached to works. This is reflected in the median comment rate as well, which shows seasonal variation but doesn’t really drop off until 2020.

It’s remarkable that without fresh canon we continue to have new creators contributing to the fandom, and while that may be outpacing the readership somewhat, the standard of engagement has been very high. One could say the fandom is chugging along quite nicely!

What about Tags

So, with all that turnover and shifting population, is there a change in the kinds of works being posted? We can look at tags, all tags and freeform tags, to see if there were any meaningful trends.

First up, I did a creator-wave like analysis of works just for tags, to see how tags continue to be used after being introduced. Unlike the creators, tags clearly persist for years. After 2015, it looks like the core tag set has been established, with very few tags persisting in usage per subsequent year.

This graph reports numbers over time that are not proportional to the number of works or creators active. Instead, works on AO3 have been getting more and more tags over the years, with the average steadily growing from 5 in 2011 to 15 in 2020, with freeform tags (not characters or ships) from 2 to 8.

To get a sense of fic and tagging culture changes over time, I counted the most popular NEW tags of each year (wave). Note: this analysis is using exact matches, not the networked associations of tag meanings wrangled into AO3 today, so some things that pop up aren’t new concepts but instead newly popular TAGs for whatever they represent.

2011: 2752 (First year, so all solid stuff, tags that continue to be popular forever)

Angst 323

Fluff 232

Humor 216

Hurt/Comfort 188

Romance 168

Friendship 168

Crossover 138

Crack 121

Alternate Universe 119

First Time 106

2012: 11637 (still early, first references to Series 2)

Fluff and Angst 145

Episode: s02e03 The Reichenbach Fall 97

Kid Sherlock 54

Puppies 50

Sad 48

Episode: s02e01 A Scandal in Belgravia 47

Mathematics 42

Season 2 spoilers 38

Omega Verse 38

Feels 38

2013: 16176 (Omegaverse nomenclature is growing, Top/Bottom terminology, new challenges)

Alpha Sherlock 65

Omega John 61

30 Day OTP Challenge 59

Tumblr: letswritesherlock 56

Top John 49

Sherlock Holmes Returns after Reichenbach 44

Bottom Sherlock 40

Reichenbach Angst 30

Don't copy work to another site 29

Age Regression/De-Aging 27

2014: 19256 (Mostly Series 3 related

Episode: s03e03 His Last Vow 249

Episode: s03e02 The Sign of Three 167

Post-His Last Vow 149

His Last Vow Spoilers 142

Sherlock Series 3 Spoilers 128

2000 AU 100

The Sign of Three Spoilers 74

Fatlock 72

Post-The Sign of Three 66

Post-Season/Series 03 57

2015: 14272 (New challenges, new prominent Sherlolly tags)

Chats 47

International Fanworks Day 2015 34

Watson's Woes July Writing Prompts 2015 27

S3 referenced 25

Sherlock Holmes/Molly Hooper Kissing 22

English Accent 22

Sound cloud 19

Eventual Sherlock Holmes/Molly Hooper 19

Protective John Watson 18

but not that kind of graphic 17

2016: 13517 (New stylistic tagging, TAB references, a lot of epilepsy?)

Slowwww burn 92

John Watson Loves Sherlock Holmes 37

Sherlock Holmes Loves John Watson 33

post-tab 30

JME 27

Post TAB 25

Juvenile Myoclonic Epilepsy 23

Sherlolly Appreciation Week 2016 19

epileptic 19

fraternal love 17

2017: 15067 (Series 4 tags and challenges)

Episode: s04e02 The Lying Detective 133

Episode: s04e01 The Six Thatchers 93

Post TFP 73

Sherlock Series 4 Spoilers 69

Episode: s04e03 The Final Problem 60

Post-Episode: s04e02 The Lying Detective 55

Sherlolly Appreciation Week 2017 50

Post S4 48

Sherstrade Month 2017 44

31 Days of Porn Challenge 2017 41

2018: 10733 (Lost of new challenges, seasonal and weekly)

Towel Day 2018 64

Mystrade Valentines Calendar 2018 25

Kinktober 2018 23

Pregnant Molly Hooper 23

Soft Smut Sunday 23

Tom Robbins 23

Sherlolly Appreciation Week 2018 21

Inktober 2018 20

established universe 16

Always1895 16

2019: 7785 (More prompts, and character attitudes)

Sherlolly Appreciation Week 2019 25

221B Autumn Challenge 21

A-Z Christmas Prompt 19

KatsJohnlockXmas2019 16

Whumptober 11

Poor Greg Lestrade 11

Kinktober 2019 10

Dissonance 10

John Watson is a Good Friend 9

Sleepy Sherlock Holmes 8

2020: 8074 (Not all COVID related, thank heavens)

Mystrade Monday 59

COVID-19 48

Coronavirus 46

Mystrade Monday Prompts 40

Whumptober 2020 36

warning for a covid-19 setting 33

Flufftober prompts 2020 24

Do Not Translate 24

they're all right they're just at home 23

Granada Sherlolly 21

A little note from looking across all freeform tags, not just the new ones, we see a curious pattern with regards to two actions: First Kiss and Anal Sex. They appear amongst the most common tags as of 2014, neck in neck for two years, than Anal Sex drops off the top ten in 2016. From there out, First Kiss stays in the top 5 from that point on, while anal sex appears at rank 9 from 2017-2019 and is gone again in 2020. This probably says something about the fandom, somehow.

Bravo for making it to the end and thank you for reading!

Questions/comments welcome.

#Fandom stats #Sherlock #AO3 #Graphs #python

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doomtodivide · 4 years ago

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A Complete List of Questions in Bastille songs

Hello stormers! I figured I would start off with one of my most popular post; A Complete List of Questions in Bastille Songs. As a Bastille fan, you’ve probably asked yourself How many questions does Bastille have in their songs? Is Dan Smith okay? And today, u/thedoomdays and I will be attempting to answer one of those questions! Together we spend about 3.5 hours counting every question in everything from Annie Oakley Hanging to Doom Days. We didn’t include how many times a question was asked, but rather how many different questions were asked. Covers, remixes, and other things of that sort were not included in our total. If you think that we left something out, please comment and I'll try to add it! Last update: 9/22/2020 survivin'

Bastille only data:

99 songs

142 original questions

32 questions sampled or originated from other song

low end : average of 1.43 questions per song

high end : average of 1.76 questions per song

Dan Pre-Bastille:

20 songs

14 original questions

average of 0.7 questions per song

Total Data:

119 songs total

156 original questions

32 reused questions

188 questions total

low end : 1.31 questions per song

High end : 1.58 questions per song

Link to google document with every question (WARNING: MAY CAUSE EXISTENTIAL CRISIS): https://docs.google.com/document/d/1y2ftnV7pPWQUQC8GQEe-LI3ZPBLiTAjqDkQWgwmmS3I/edit?usp=sharing

Feel free to ask any questions in the comments!

#bastille #bastille band #Dan Smith #will farquarson #chris woody wood #kyle simmons #is dan smith okay

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glenandbrisketpowellsdogpack · 3 years ago

Conversation

Domestic Violence Statistics

On average, nearly 20 people per minute are physically abused by an intimate partner in the United States. During one year, this equates to more than 10 million women and men.

1 in 4 women and 1 in 9 men experience severe intimate partner physical violence, intimate partner contact sexual violence, and/or intimate partner stalking with impacts such as injury, fearfulness, post-traumatic stress disorder, use of victim services, contraction of sexually transmitted diseases, etc.

1 in 3 women and 1 in 4 men have experienced some form of physical violence by an intimate partner. This includes a range of behaviors (e.g. slapping, shoving, pushing) and in some cases might not be considered "domestic violence."

1 in 7 women and 1 in 25 men have been injured by an intimate partner.

1 in 10 women have been raped by an intimate partner. Data is unavailable on male victims.

1 in 4 women and 1 in 7 men have been victims of severe physical violence (e.g. beating, burning, strangling) by an intimate partner in their lifetime.

1 in 7 women and 1 in 18 men have been stalked by an intimate partner during their lifetime to the point in which they felt very fearful or believed that they or someone close to them would be harmed or killed.

On a typical day, there are more than 20,000 phone calls placed to domestic violence hotlines nationwide.

The presence of a gun in a domestic violence situation increases the risk of homicide by 500%.

Intimate partner violence accounts for 15% of all violent crime.

Women between the ages of 18-24 are most commonly abused by an intimate partner.

19% of domestic violence involves a weapon.

Domestic victimization is correlated with a higher rate of depression and suicidal behavior.

Only 34% of people who are injured by intimate partners receive medical care for their injuries.

RAPE:

1 in 5 women and 1 in 71 men in the United States has been raped in their lifetime.

Almost half of female (46.7%) and male (44.9%) victims of rape in the United States were raped by an acquaintance. Of these, 45.4% of female rape victims and 29% of male rape victims were raped by an intimate partner.

STALKING:

19.3 million women and 5.1 million men in the United States have been stalked in their lifetime.1 60.8% of female stalking victims and 43.5% men reported being stalked by a current or former intimate partner.

HOMICIDE:

A study of intimate partner homicides found that 20% of victims were not the intimate partners themselves, but family members, friends, neighbors, persons who intervened, law enforcement responders, or bystanders.

72% of all murder-suicides involve an intimate partner; 94% of the victims of these murder suicides are female.

CHILDREN AND DOMESTIC VIOLENCE:

1 in 15 children are exposed to intimate partner violence each year, and 90% of these children are eyewitnesses to this violence.

ECONOMIC IMPACT:

Victims of intimate partner violence lose a total of 8.0 million days of paid work each year.

The cost of intimate partner violence exceeds $8.3 billion per year.

Between 21-60% of victims of intimate partner violence lose their jobs due to reasons stemming from the abuse.

Between 2003 and 2008, 142 women were murdered in their workplace by their abuser, 78% of women killed in the workplace during this timeframe.

PHYSICAL/MENTAL IMPACT:

Women abused by their intimate partners are more vulnerable to contracting HIV or other STI’s due to forced intercourse or prolonged exposure to stress.

Studies suggest that there is a relationship between intimate partner violence and depression and suicidal behavior.

Physical, mental, and sexual and reproductive health effects have been linked with intimate partner violence including adolescent pregnancy, unintended pregnancy in general, miscarriage, stillbirth, intrauterine hemorrhage, nutritional deficiency, abdominal pain and other gastrointestinal problems, neurological disorders, chronic pain, disability, anxiety and post-traumatic stress disorder (PTSD), as well as noncommunicable diseases such as hypertension, cancer and cardiovascular diseases.

Victims of domestic violence are also at higher risk for developing addictions to alcohol, tobacco, or drugs.

#Domestic Violence Statistics #Domestic Violence Awareness Month #Every1KnowsSome1 #Domestic Violence Survivor

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wot-tidbits · 3 years ago

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Stats for the period of 22.01.2014-22.07.2021

And here they are, the stats of the blog after 7 years and 6 months.

It has been long 7 years facing various labels and constant smear campaign but I am still standing and still here to share my love for the Wheel of Time. Whatever people try to label me, I have 7 years to show the bullshit of their lies. No proof – only assumptions. Labels don’t work on me.

Thank you for your support and still visiting the blog.

Let the Light keep you safe.

LightOne

And now the numbers

Followers – 3702

Average number of followers per day/month – 1.35/41.13

Visits – 62,618

Average – 22.87 visits per day

Countries – 142

Special mention for the surprising attention on

If you needed one more reason to love Brandon Sanderson

Here are TOP 12of WOT art and photos posted by my blog.

Heron-Marked Warder Sword made by Brendan Olszowy by Fableblades

Various awesome art pieces by Gal Or (lightwaved)

Rand, Mat, Perrin, Nyneave and Egwene by Ariel Burgess

Bobby and banana for scale

Don’t share your secrets Randlanders! (Graph of conflict in WOT)

Rand alThor by reddera

Share a coke with Nyneave

Dance with Jak o’ the Shadows - Mat Cauthon by endave

Band of the red hand banner

WOT mini book lockets and charm

Some meme madness

Bela’s Garden

#my post #stats #unreasonably attractive fandom #the unreasonably attractive fandom

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royal-realm · 5 years ago

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Engagements vs. Cost on Clothing - 1st Year

NOTE: To be consistent, the count for number of engagements post-marriage was determined by the same person (Tim O’Donovan) for both 2011 and 2018.

For clothing costs, I strongly recommend reading what UFO No More wrote and how they calculated these numbers. The total cost of spending is incomplete as bespoke pieces, or similar pieces are unidentified and no included.

CAMBRIDGE (2011)

Date of Marriage: April 29, 2011

Including the day of her marriage, Kate spent 247 days as a part-time working royal in the year 2011.

William: 90 engagements as a part-time working royal, while working full-time as part of the Royal Air Force.

Kate: 38 engagements in 2011, 4 + 34 (see below for breakdown)

Kate had 6 engagements prior to her wedding.

November 16 - December 31, 2010 - 2 engagements, which includes official engagement interview

January 1 - April 28, 2011 - 4 engagements

April 29, - December 31, 2011 - 34 engagements as a part-time working royal.

2011 Numbers

38 engagements in 2011

14% = 34 engagements as an official part-time working royal / 247 days married as a part-time working royal.

3% = 4 engagements prior to wedding / 118 days prior to wedding

Per UFO No More, Kate’s wardrobe for 2011 is €61,603 for 95 identified pieces (over 38 engagements, my own commentary).

Averages to €648 per identified piece.

Omits 47 pieces from total costs due to unidentified pieces, and prices that are bespoke and/or undetermined. Therefore, 142 new pieces.

Averages to €1,621 per engagement.

With inflation, averages to €1,978 per engagement - If I want to be super duper uber extra conservative in calculations, I included an inflation rate of 22% to match 2011 to 2018 spending power (Calculator Used).

SUSSEX (2018)

Date of Marriage: May 19, 2018

Including the day of her marriage, Meghan spent 227 days as a full-time working royal in the year 2018.

Harry: 193 engagements, as a full-time working royal.

Meghan: 121 engagements in 2018, 25 + 96 (see below for breakdown)

Meghan had 29 engagements prior to her wedding.

November 27 - December 31, 2017 - 4 engagements

January 1 - May 18, 2018 - 25 engagements

May 19 - December 31, 2018 - 96 engagements as a full-time working royal.

2018 Numbers

121 engagements in 2018

42% = 96 engagements as an official full-time working royal / 227 days married as a full-time working royal.

18% = 25 engagements prior to wedding / 138 days prior to wedding

Per UFO No More, Meghan’s wardrobe for 2018 is €479,048 for 256 identified pieces (over 121 engagements, my own commentary).

Averages to €1,871 per identified piece.

Omits 68 pieces from total costs due to unidentified pieces, and prices that are bespoke and/or undetermined. Therefore, 324 new pieces.

Averages to €3,959 per engagement.

*If I omit Meghan’s Cartier Reflection Wedding Bracelet & Earrings, it averages to €2,256 per engagement.

*Meghan’s Mirror says that Meghan’s Cartier Reflection Wedding Bracelet & Earrings could possibly be a gift, but they didn’t specify anything or reasoning as to what their speculation is based off of. There has been no confirmation that this is a gift, therefore I believe this should be included. But for fun, I omitted this piece with a note. Kate’s acorn wedding earrings commissioned by the Middletons, at an estimated £15,000 is not included because it is a confirmed gift paid by her parents (non-royals).

We believe these pieces were gifted to Meghan to celebrate her wedding day – a lovely gesture to add some sparkle to such a memorable and historic outfit. The price tag for these pieces – over $220,000 USD for both pieces – might make jaws drop, but it is likely that they were a generous and loving gift from a wealthy friend, foreign royal, or relative of Meghan or Harry’s.

Resources Used:

2011 Post-Marriage Engagement Count (for William & Kate’s counts)

2018 Post-Marriage Engagement Count (for Harry & Meghan’s counts)

Wardrobe spending for a first year royal (strongly recommend reading this first)

Meghan’s engagement period, official duties count

I used Gert’s Royals for the number of engagements Meghan did during her engagement period. For Kate’s numbers, I looked through William’s Official Court Circular and searched for articles and pictures to confirm that Kate was there with him. Both Kate & Meghan’s pre-marriage engagements are not posted on the Court Circular.

#Kate Middleton #Catherine #Prince William #The Duchess of Cambridge #og #original #the duke of cambridge #Duchess of cambridge #duke of cambridge #meghan markle #prince harry #duke of sussex #duchess of sussex #wardrobe #comp #engagements vs wardrobe cost #british royal family #royal family #brf

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dia-morphin-e · 5 years ago

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Statistics on Domestic Violence from The National Coalition Against Domestic Violence (NCADV)

*some of the below statistics are from a few years ago, numbers for some statistics are much higher now & I'll be posting an updated version later when I have time to compile a list of statistics from different updated 2019 sources, for now, here are some statistics from the NCADV's page.

• On average, nearly 20 people per minute are physically abused by an intimate partner in the United States. During one year, this equates to more than 10 million women and men.

•1 in 4 women and 1 in 9 men experience severe intimate partner physical violence, intimate partner contact sexual violence, and/or intimate partner stalking with impacts such as injury, fearfulness, post-traumatic stress disorder, use of victim services, contraction of sexually transmitted diseases, etc.

•1 in 3 women and 1 in 4 men have experienced some form of physical violence by an intimate partner. This includes a range of behaviors (e.g. slapping, shoving, pushing) and in some cases might not be considered "domestic violence."

•1 in 7 women and 1 in 25 men have been injured by an intimate partner.

•1 in 10 women have been raped by an intimate partner. Data is unavailable on male victims.

•1 in 4 women and 1 in 7 men have been victims of severe physical violence (e.g. beating, burning, strangling) by an intimate partner in their lifetime.

•1 in 7 women and 1 in 18 men have been stalked by an intimate partner during their lifetime to the point in which they felt very fearful or believed that they or someone close to them would be harmed or killed.1

•On a typical day, there are more than 20,000 phone calls placed to domestic violence hotlines nationwide.

•Intimate partner violence accounts for 15% of all violent crime.

•Women between the ages of 18-24 are most commonly abused by an intimate partner.

•19% of domestic violence involves a weapon.

•Domestic victimization is correlated with a higher rate of depression and suicidal behavior.

•Only 34% of people who are injured by intimate partners receive medical care for their injuries.

RAPE

•1 in 5 women and 1 in 71 men in the United States has been raped in their lifetime.

•Almost half of female (46.7%) and male (44.9%) victims of rape in the United States were raped by an acquaintance. Of these, 45.4% of female rape victims and 29% of male rape victims were raped by an intimate partner.

STALKING

HOMICIDE

•A study of intimate partner homicides found that 20% of victims were not the intimate partners themselves, but family members, friends, neighbors, persons who intervened, law enforcement responders, or bystanders.

•72% of all murder-suicides involve an intimate partner; 94% of the victims of these murder suicides are female.

CHILDREN AND DOMESTIC VIOLENCE

•1 in 15 children are exposed to intimate partner violence each year, and 90% of these children are eyewitnesses to this violence.

ECONOMIC IMPACT

•Victims of intimate partner violence lose a total of 8.0 million days of paid work each year.

•The cost of intimate partner violence exceeds $8.3 billion per year.

•Between 21-60% of victims of intimate partner violence lose their jobs due to reasons stemming from the abuse.

•Between 2003 and 2008, 142 women were murdered in their workplace by their abuser, 78% of women killed in the workplace during this timeframe.

PHYSICAL/MENTAL IMPACT

•Women abused by their intimate partners are more vulnerable to contracting HIV or other STI’s due to forced intercourse or prolonged exposure to stress.

•Studies suggest that there is a relationship between intimate partner violence and depression and suicidal behavior.

•Physical, mental, and sexual and reproductive health effects have been linked with intimate partner violence including adolescent pregnancy, unintended pregnancy in general, miscarriage, stillbirth, intrauterine hemorrhage, nutritional deficiency, abdominal pain and other gastrointestinal problems, neurological disorders, chronic pain, disability, anxiety and post-traumatic stress disorder (PTSD), as well as noncommunicable diseases such as hypertension, cancer and cardiovascular diseases. Victims of domestic violence are also at higher risk for developing addictions to alcohol, tobacco, or drugs.

#domestic violence #recovery #abuse #mental health #mental illness #dv #domestic abuse

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foxspirit1928 · 6 years ago

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My #2018bestnine on Instagram

I was more productive in 2018 (330 posts with 30,461 Likes) than in 2017 (240 posts with 22,278 Likes). The average number of Likes received remained the same (92 per post). Thank you all for visiting my blog every day and being so generous with your Likes and notes.

I have a couple of interesting observations. One is that 2 of the 9 feature the MFMM Family, and I think it shows just how much we love the entire cast and hope to see them together again. Two is that both the first post of 2018 (January 1, bottom center) and the last post (December 31, middle center) made the best 9, perfect bookends.

If you would like to know more details about these posts, the links are provided below. The numbers following the dates are the Likes received as of 03-Jan-2019.

1) My Phracking Valentine, 1 (08-Feb-2018) (161)

2) Straight Outta Melbourne (10-Jan-2018) (150)

3) Happy Anniversary (03-Oct-2018) (144)

4) Miss Fisher Random Thoughts, 322 (28-Nov-2018) (142)

5) Happy New Year’s Eve (31-Dec-2018) (141)

6) MFMM Year of Quotes 2018 – December Challenge – Family (20-Dec-2018) (141)

7) Happy Thanksgiving (22-Nov-2018) (139)

8) Happy New Year (01-Jan-2018) (138)

9) Miss Fisher Fandom 30 Day Challenge Day 23 (Part 2) Favorite “near” kiss (07-Dec-2018) (135)

(Posted 12-Jan-2019)

#2018bestnine #my mfmm milestones #foxypedia #miss fisher #missfisher #mfmm

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t5ltherapy · 2 years ago

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#BlackMaleTherapist #Cycleofviolence #DomesticViolence

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schaeffersresearch · 2 years ago

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Nike's current-quarter forecast missed expectations

#Buzz Stocks

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i-am-very-very-tired · 3 years ago

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The 21 Best Places for Snow in California

July 30, 2021 by Allison Green

Growing up in the San Francisco Bay Area, snow in California was an event, not something that simply happened each winter. Occasionally, it would snow on nearby Mt. Diablo in the East Bay, and we (and virtually every other family in the area) would drive up to the top of the mountain to enjoy some rare snow play close to home. More often, seeing snow in California meant a long trip to Lake Tahoe, where there was more than enough snow for all of Northern Californians to enjoy. However, there are a lot more wonderful winter getaways in California than just Tahoe — and in this post, I’ll let you know all the best places to find snow in California. So California snow enthusiasts, get ready: here are all the best places for snow in the Golden State!

Where to Find Snow in Northern California Lake Tahoe (Various Counties)

Note: This post contains affiliate links, which earn me a small commission at no extra cost to you if you make a purchase using one of these links. Thank you for supporting this free content! Where is the most snow in California? There are quite a few places in California that see epic snowfall, and one of those places is around the Lake Tahoe area. On average, the area around Lake Tahoe sees roughly 215.4 inches of snow a year (about 18 feet), and up to 500″ at its highest elevation areas! As a result of this massive amount of snowfall, the area around Lake Tahoe is home to countless resorts, which offer an impossible-to-comprehend number of skiing and snowboarding runs to enjoy. But even if you’re not a fan of winter sports, you can find tons of things to do in Lake Tahoe for non-skiers in the winter season. Winter hikers will particularly enjoy the area! There are so many places around Lake Tahoe that would make a great base, but the most busting is certainly South Lake Tahoe, close to beautiful state parks, lakeside walks, and world-class mountain resorts like Heavenly (home of the famous scenic gondola!).

Truckee (Nevada County)

Truckee is located north of Lake Tahoe and is a popular destination for skiers and snowboarders looking to enjoy some winter sports. In fact, Truckee receives about 204.3 inches of snow per year — making it the snowiest city in the United States according to Extreme Weather: A Guide and Record book by Christopher C. Burt! Truckee can also get extremely cold, and it has often been the coldest place in the nation on any given day! Its lowest temperature ever recorded was -28 °F. So much for California being a land of sun, sand, and surf!Truckee is located nearby Donner Lake, which is an absolutely beautiful place during the winter time of year, when there is so much snow on the ground that it coats the trees and makes the houses nearby look like they’re in a fairy tale.If you’re looking for one of the best places to go skiing or snowboarding in California, Truckee is a great base.There are several ski resorts in the greater Truckee area, including Northstar, Olympic Valley, and Alpine Meadows, and you’ll never run out of runs to choose from.

Mount Shasta (Siskiyou County)

The charming mountain town of Mt Shasta sees about 60 inches of snow annually, spread across about 50 days of annual snowfall. Up on the mountain of Mount Shasta, there’s even more snow! A typical season at the Snow Bowl is about 98 inches (9 feet) of snow, at an altitude of around 7,600 feet above sea level where you’ll find the ski area. Mt. Shasta has a burgeoning ski scene and is growing in popularity as a winter destination in California, so it’s a great place to go in Northern California for some skiing if you’re trying to escape the Tahoe crowds.

Lassen Volcanic National Park (Several Counties)

Lassen Volcanic National Park is yet another place where you can frequently find snow in California — on average, 142 days a year have at least an inch of snow on the ground! Lassen Volcanic National Park is one of the snowiest places in all of California, with high levels of snowfall throughout the park. The Southwest Entrance Visitor Center records about 430 inches of snow per year, and the area around Lake Helen on Lassen Peak is about 600-700 inches per year (per Ski Mountaineer)… take that, Lake Tahoe!

Nevada City (Nevada County)

It doesn’t snow that often in Nevada City, but it does occur a few times a year, due to its proximity to places like Truckee and its altitude at around 2,500 feet. But Nevada City is such a fun and underrated place that I feel obligated to include it here nevertheless! Nevada City only gets about 15 inches of snowfall annually, which is small potatoes compared to the Tahoe area and Shasta/Lassen area, but it’s still a lot of snow for California! The Nevada City downtown area is a lot of fun and is really cute when it’s all decked out for winter, which makes it one of my top choices for winter getaway in California after it’s snowed there. Luckily, Nevada City is still rather under-the-radar, so you can easily plan a last-minute snow getaway there after you’ve seen it that it has snowed there recently!

Where to Find Snow in the Western Sierras Note: By “Western Sierras”, I am referring to the corridor of the Sierra Nevadas that is more easily accessed by points west of the mountain range (such as I-5), as to distinguish it from the Eastern Sierras (Highway 395). This is not a term that is widely used but I find it helpful when breaking up California by region as places like Yosemite and Sequoia don’t fit into the Northern/Southern/Central California paradigm cleanly. However, being that the access points are on the west side of the Sierras, these destinations are typically easier to get to by car from the coastal metropolises in both Northern and Southern California than their Eastern Sierra counterparts — which is why I categorize them differently!

Yosemite National Park (Several Counties) Yosemite National Park in winter is a true delight. The crowds of summer are thinned to a small trickle, and snow regularly blankets the evergreens in Yosemite Valley and the sequoias of Mariposa Grove. Yosemite National Park sees about 36 inches of snow annually in Yosemite Valley, and much more at higher elevations in the park like the Tuolumne Meadows area.Most of the park enjoys a thick blanket of snow between the months of November and April, so it’s fairly guaranteed that you can enjoy a snowy California winter getaway in Yosemite during this time of year!📷 Note that many parts of Yosemite National Park are closed during winter due to hazardous road conditions. In particular, Tioga Pass is completely closed, which is the throughway through the Sierra Nevadas which connects the west side of the park to the east side.Many Yosemite highlights — Glacier Point, Taft Point, Tuolumne Meadows, etc. — are along Tioga Pass, so you would have to return in another season to be able to visit this section of the park.

Sequoia National Park (Tulare County)📷📷 The beautiful Sequoia National Park is another stunning national park set amongst the Sierra Nevadas, which is pretty much a guarantee for seeing snow in California!It’s located very close to the next California winter getaway on this list, Kings Canyon, and both places are easily visited on the same trip.Sequoia National Park sees about 40 to 45 inches of snow in the sequoia groves, which means you have a fairly good chance of seeing some of the largest trees on earth coated in a jacket of snow!📷

Kings Canyon National Park (Fresno & Tulare County)📷Adjacent to Sequoia National Park, Kings Canyon is another great winter getaway in California that is a little quieter than Sequoia.📷 Kings Canyon sees a similar level of snowfall to Sequoia, around 40-45 inches per year in the middle elevations that make up most of the park.As a result, Kings Canyon becomes a popular place in California in winter for sledding, snowshoeing, tubing, and other snow play activities. Where to Find Snow in the Eastern Sierras Mammoth Lakes (Mono County)📷📷 Mammoth Lakes (and its ski area, Mammoth

Mountain Resort) is a massively popular winter getaway destination for Californians seeking snow!There is a lot to do in Mammoth Lakes in winter (so much so that I have an entire post on it!). Skiing and snowboarding are the obvious main activities, but there’s a lot to do in Mammoth in winter even if you don’t partake in downhill winter sports.Go X-country skiing around the Tamarack Cross Country Ski Center, ice skating at the Mammoth Ice Rink, or simply eat and drink your way around town!📷 June Lake (Mono County)📷📷 June Lake is a popular destination year-round — beach time in summer, foliage in fall, and fresh powder in the winter!It’s quieter than Mammoth Lakes but it’s not far away at all — only about 20 minutes by car — so it’s a great alternative to the buzz and hubbub of Mammoth in winter.The June Mountain Ski Area has plenty of ski runs appropriate for all levels, so you don’t have to compromise here.

Convict Lake (Mono County) The beautiful Convict Lake area of Mono County is a great place for peaceful, quiet snow days.If you’re doing a Mono County road trip, covering places like Mammoth and June Lake, don’t miss a little side trip to Convict Lake in the winter!Be sure to bring your snowshoes for a lakeside walk!Where is There Snow in Southern California?

Mount Baldy (San Bernardino County) The peak of Mount Baldy is a popular winter wonderland for people from Los Angeles looking to get a little snow in their lives! Just a 45-mile drive from L.A., no wonder Mt. Baldy is a place for Angelenos to experience a little bit of snow during the winter months! There are ski lifts on Baldy that will take you to downhill ski runs, as well as a snow tubing park accessible via the Sugar Pine chairlift. The Sugar Pine chairlift will also bring you to the Top of the Notch restaurant at nearly 8,000 feet, where you can enjoy a stunning view of San Bernadino, LA and San Diego from above! It’s the perfect day trip from LA in winter if you are looking for a snowy getaway.

Running Springs / Snow Valley Mountain Resort (San Bernardino County) This is a local favorite ski resort area: it actually receives the most natural snowfall in all of Southern California! It’s also a great place to learn to ski, as it’s considered to have the best terrain for beginner skiers. But it’s not just all for beginners — there are long intermediate runs (more than a mile of uninterrupted skiing!) as well as plenty of steep runs for advanced skiers, such as the Slide Peak area.

Big Bear Lake (San Bernardino County)

If you’re wondering “where can I snowboard in California” — Big Bear in winter is the place for you! Big Bear Mountain Resort is a great area for all manner of winter sports: snowshoeing, downhill skiing, cross-country skiing, etc., but it is most renowned for its snowboarding. Snow Summit Ski Area is one of the best areas for skiing and snowboarding yearround, as it has the most consistent snowfall in SoCal due to its advanced snowmaking abilities. Another popular place in Big Bear is Magic Mountain with its Alpine Slide, a fun bobsled experience in winter (normally water slides in summer!)The Big Bear Snow Play area is a great spot for people to try snow tubing and what they call “glow tubing” — aka night tubing with lots of colorful lights basking the snow play area in gorgeous colors!

Lake Arrowhead (San Bernadino County) The beautiful mountain town of Lake Arrowhead is a great place to enjoy a snowy winter getaway in Southern California. It’s a popular destination for Angelenos looking for a little spot of fun in the snow! Lake Arrowhead gets about 40″ of snow a year, so there is a decent chance that you will see some snow during a winter trip to Lake Arrowhead! If you’re not a skier or a snowboarder, but you do want some fun in a wintry environment, Lake Arrowhead is the perfect weekend getaway from Los Angeles.

Mountain High Resort / Wrightwood (Los Angeles County)

If you’re looking for snow in Los Angeles county proper, head to Wrightwood and its ski resort, Mountain High Resort. Located in the San Gabriel Mountains, this is one of the easiest snowy getaways to access from downtown LA (just an hour and a half drive). Its short distance away means it’s easy to get away for just a morning or afternoon if you want!

Idyllwild (Riverside County) The mountain town of Idyllwild is, well, idyllic in the winter! Located over 5,000 feet above sea level, Idyllwild gets occasional snowfall — about 30 inches of snow per year. That’s not enough for any skiing or snowboarding, of course, but if you are looking for a winter cabin getaway with some snow to gaze out on (with a cup of hot chocolate in hand!), Idyllwild is a fantastic choice. It’s much quieter in Idyllwild in winter than in these other snowy getaways in California, and so if you are just looking to see snow (and maybe do a short winter hiking trail) rather than shred some powder, it’s a good choice for seeing snow in Southern California.

Mount San Jacinto (Riverside County)

Palm Springs is more associated with desert vibes and poolside hangs, so it may not come to mind when thinking of a winter getaway in SoCal! However, don’t overlook it for a little splash of snow in California! Palm Springs is home to the Palm Springs Aerial Tramway, which will bring you near the top of Mount San Jacinto. The peak of Mount San Jacinto sits at over 10,000 feet, so as a result, there is often snow over much of the mountain. Bring a sled and the family and make a day of it before crashing in sunny Palm Springs overnight!

Mount Pinos / Los Padres National Forest (Ventura County) The peak of Mount Pinos as well as other mountains such as Frazier Mountain in Los Padres National Forest gets a huge amount of snow each year.Mt Pinos gets anywhere from 3 to 7 feet of snow a yeardepending on storms!This is a great snow destination for people living in North Los Angeles as it is only a 1.5-hour drive to Frazier Park from around the Burbank area!

Julian (San Diego County)

Many people don’t realize that San Diego county can get snow, but there are a few places in the area that get a decent amount of snowfall! It snows in the small mountain town of Julian, about 24 inches of snow per year. While Julian tends to be more well-known for its apple picking in fall, it’s also a charming winter destination, especially after some snowfall!

Mt. Laguna (San Diego County)

The last destination on our list is beautiful Mt. Laguna, the closest place near San Diego to play in the snow at less than an hour’s drive from downtown! At an elevation of 6,000 feet above sea level, Mt. Laguna gets a decent amount of snowfall each year — about 13 inches per year. It’s not a huge amount, definitely not enough to ski on, but it’s a fun place to bring the family to build a snowman or play in some fresh powder if you’re in search of a wintry day trip from San Diego!

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perfectflappizzahoagie · 3 years ago

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Week 5: is it acceptable for political engagement to be included in social media for social presence ?

This blog would discuss the impact of scoial media in this age and its engagement between the public and political parties. Is it acceptable for politicians and political parties to leverage social media platforms for political engagement and is it the appropriate channel in reaching out to the public?

According to the statistics of daily time spent on social networking by internet users worldwide from 2012 to 2020 epecially in between 2019 and 2020, the average daily social media usage of internet users worldwide amounted to 145 minutes per day, up from 142 minutes in the previous year

A majority of Facebook, Snapchat and Instagram users say they visit these platforms on a daily basis

While there has been much written about Americans’ changing relationship with Facebook, its users remain quite active on the platform. Seven-in-ten Facebook users say they use the site daily, including 49% who say they use the site several times a day. (These figures are statistically unchanged from those reported in the Center’s 2019 survey about social media use.)

Smaller shares – though still a majority – of Snapchat or Instagram users report visiting these respective platforms daily (59% for both). And being active on these sites is especially common for younger users. For instance, 71% of Snapchat users ages 18 to 29 say they use the app daily, including six-in-ten who say they do this multiple times a day. The pattern is similar for Instagram: 73% of 18- to 29-year-old Instagram users say they visit the site every day, with roughly half (53%) reporting they do so several times per day.

YouTube is used daily by 54% if its users, with 36% saying they visit the site several times a day. By comparison, Twitter is used less frequently, with fewer than half of its users (46%) saying they visit the site daily.

The Internet has become vital for political discussions and political participation especially for the younger generations, transforming the mode of political communication and participation. Bimber and Copeland (2011) emphasized on the role of new media for providing the platform for political participation and changing their political efficacy. The millennials are the most active users of the Internet and social media and the Internet has developed the interests toward politics of its users and improved political efficacy of the respondent which create their online and offline political engagements. Internet use, political knowledge, and political participation are associated with one another becoming the main source of political efficacy and political participation, enhancing awareness about voting and campaigning. Users’ efficacy helps them to understand the political affairs in a better way through the acquisition of political information from new media

Facebook and Political Engagement

Considerable research has been produced over the decade on the impact of social media and Internet on online and offline political participation. Westling (2007) examined the expansion of the public sphere and the impact of Facebook on political communication. The political communication strategies with public sphere expansion was interlinked and research found that Facebook was a valid platform for bridging political communication among public. Another study conducted by Marcheva (2008) found that there was a strong correlation between social media platforms and collective movements. Facebook helped in understanding the various impressions of political participation such as discussions of controversial issues. Especially during elections, the political participation in Facebook is robust. Politicians use Facebook to connect with citizens and update them about their agenda and political activities. Facebook posts promoting the candidate. Social media reveals negative predictions for political cynicism and online sphere is widely recognised among voters due to their deep understanding about their political candidates through various party organizations. For example, Barack Obama uses Facebook as his presidential campaign in 2012 as a tool for promotion by highlighting his personality as strategy to motivate the actions of his followers.

SOCIAL MEDIA AND FALSE NEWS

A commonly held concern is that the rise of new online media and especially social media is associated with a major increase in the circulation of false news stories (e.g., Mitchell et al. 2019). To this date, there is no systematic study of whether false news is more or less prevalent today than in the past (after all, false rumors, false stories, and deliberate propaganda based on false facts did appear in traditional media well before the Internet era). Nonetheless, there is well-documented evidence of the massive spread of false stories online. Mocanu et al. (2015), for example, document the rapid spread of false news over social media during the 2012 elections in Italy. They show that misinformation was particularly likely to be shared by users who mistrusted the mainstream media. Allcott & Gentzkow (2017) report the diffusion of false stories on Facebook during the 2016 US election campaign. They identify 115 pro-Trump and 41 pro-Clinton fake stories that circulated in the three months preceding the election and show that they were shared widely on Facebook. In particular, false stories slanted in favor of Donald Trump were shared on Facebook about 30 million times, and false stories slanted in favor of Hillary Clinton got about 8 million Facebook shares.9 Using a postelection survey, Allcott & Gentzkow (2017) show that 15% of survey respondents recalled seeing false news stories during the campaign, and 8% recalled seeing a false story and acknowledged that they believed it. However, a question about exposure to placebo false news stories—untrue but plausible headlines invented by the authors but never actually circulated—obtained almost the same responses as a question about false news stories that actually did circulate: 14% of people reported seeing placebo stories and 8% reported seeing and believing them. This highlights the limitations of recall-based surveys about news consumption. Overall, the authors estimate that an average US voter was exposed to about one or possibly several false news articles during the election. Under the assumption that a fake news article is as persuasive as a TV campaign ad (which, as the authors acknowledge, is a very strong assumption), Allcott & Gentzkow (2017) estimate that the effect of false-news exposure was rather small and most certainly not enough to be decisive for the election outcome.

Digital Censorship

With the advancement of new information technologies, media capture and censorship also take new forms. When an autocratic government does not have the means to perfectly control all pieces of political information in the public domain (due to numerous decentralized online platforms, such as blogs and online news aggregators), it could resort to the selective deletion of information. For example, in China, selective deletion of online content is widespread. King et al. (2013) study the types of online content that are more likely to get censored in modern China. They make snapshots of the Chinese blogosphere every 20 minutes and identify content that gets deleted ex post. They find that the Chinese government is more likely to erase social media posts related to calls for social mobilization or any form of collective action than posts criticizing the regime. This paper, however, does not address the issue of selection arising from self-censorship and from the fact that many intended posts never went online in the first place because they were detected by an automated censorship filter. To address this issue, in a related study, King et al. (2014) conduct a field experiment and confirm their findings from the observational data. Using randomized blog postings in Chinese social media, they find that posts about real-world events involving collective action were censored, whereas the posts that were critical of the government were not more likely to be censored than posts supportive of the government. One interpretation of this strategy of the Chinese government is that criticisms of the state may be useful to the government to monitor public sentiment, whereas empowering collective action could be damaging.

It is complex to deny the importance of social media in building a connection between the citizens and political parties, politicians in the online sphere. It is undeniable that the digital age needs social media platform to reach a wide variety of audience and perform its functions. The social media platform is a place where every users has the freedom to demonstrate their rights without breaking any laws. It is apparent that there are conflicts associated with the use of social media platforms such as YouTube and Facebook manipulation to control votingand influence public opinions which is differing to all parties. Countries’ taking control of social media access is a debatable topic but are out of the interference scope from individuals without that country’s citizenship.

https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/

https://www.annualreviews.org/doi/10.1146/annurev-economics-081919-050239

https://journals.sagepub.com/doi/pdf/10.1177/2158244019864484

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microtalkcommunications · 3 years ago

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Do you Own Internet?

The internet is a larger network that allows computer networks controlled by enterprises, governments, colleges, and other organizations all over the world to communicate with one another. As a result, there are a tangle of cables, computers, data centers, routers, servers, satellites, and Wi-Fi towers that allow digital data to go across the world.

Before answering about, Do you own internet? Let us remind ourselves that, How big is the internet?

Internet is Enormous! The size, scope, and volume of information available on the Internet is always expanding. As a result, any data on this subject that is currently available will most certainly expire tomorrow. In terms of size, the Internet is enormous. It contains a tremendous amount of information in many formats that is constantly developing (images, video, audio etc.).Every day, millions of users contribute to the Internet's size.

· User participation (comments, social media posts, etc.) is ongoing.

· Images and video uploads (YouTube, Instagram, Facebook. etc.

· fresh content release (blogs, news websites)

· On the Internet, people engage in a variety of activities 24/7.

In 2019, the number of internet users worldwide was 3.97 billion, up from 3.74 billion in 2018.

Usage of internet is also huge. In 2019 and 2020, internet users worldwide spent an average of 145 minutes per day on social media, up from 142 minutes the previous year.

It's also growing. The number of active websites is increasing by every second. The figures are over a billion which keep on changing.

A massive network of fiber-optic lines, telephone poles, underwater cables, satellites and everything else that makes up the internet's "physical side" facilitates all of this. So, whoever controls the internet, they own something massive.

To look for owners, we must find that who invented internet?

It's hard to attribute the development of the internet to a single person, as one might anticipate for a technology as vast and ever-changing as the internet. Hundreds of pioneering scientists, programmers, and engineers worked on the internet, each developing new features and technologies that eventually blended to build the modern-day "information superhighway." In the early 1900s, Nikola Tesla considered a "world wireless system," while in the 1930s and 1940s, visionary thinkers such as Paul Otlet and Vannevar Bush envisioned automated, searchable book and media storage systems.

The concept of "packet switching," a mechanism for successfully conveying electronic data devised by computer scientists, would subsequently become one of the primary building blocks of the internet. With the construction of ARPANET (Advanced Research Projects Agency Network) in the late 1960s, the first working prototype of the Internet was born. ARPANET, which was originally supported by the United States Department of Defense, employed packet switching to allow several computers to interact over a single network.

The narrative, however, does not conclude with the development of package switching. Tim Berners-Lee dreamed of a project based on the notion of hypertext (interconnected texts linked by hyperlinks) to simplify information exchange and updating among CERN researchers in the early 1980s.

Berners-Lee spotted a chance to merge hypertext with the internet in 1989. The World Wide Web was born, a "information space" where documents and other web resources are recognized by Uniform Resource Locators (URLs) and interconnected by hyperlinks.

The internet was popularized due to the web, and it was a critical step in the development of the massive treasure of information that most of us now have access to on a regular basis.

So, do you own internet?

The answer is no one and everyone- its sounds paradoxical.

The internet is not controlled by any single person or organization. No one person, company or government can claim ownership of the entire internet, just as no one person, company, or government can claim ownership of the whole telephone network. Certain bits of it, however, are owned by a number of people, businesses, and governments.

It's difficult to claim ownership of a concept. Only work that is fixed in tangible form is protected by copyright (such as written documents, and so on). Furthermore, while patents protect particular ideas rather than mere expressions of those ideas, they are not appropriate for broad concepts.

Someone owns each and every telephone pole, cable, satellite, router, datacenter, and so on. However, they are virtually useless when they aren't connected; it is only when they are that the internet is formed. The internet is more of a notion than a tangible entity in this sense. Despite the fact that people own the infrastructure that supports it, it is always changing.

The internet term is a very broad concept. As a result, no one truly owns the internet. It is owned by humankind as a whole. As a result, you have equal ownership of the internet as others.

#internet #internet leased line #high speed #broadband #ownership #microtalk

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glenandbrisketpowellsdogpack · 2 years ago

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National Domestic Violence Statistics

NCADV (National Coalition Against Domestic Violence)

On average, nearly 20 people per minute are physically abused by an intimate partner in the United States. During one year, this equates to more than 10 million women and men.1

1 in 7 women and 1 in 25 men have been injured by an intimate partner.1

1 in 10 women have been raped by an intimate partner. Data is unavailable on male victims.1

1 in 4 women and 1 in 7 men have been victims of severe physical violence (e.g. beating, burning, strangling) by an intimate partner in their lifetime.1

On a typical day, there are more than 20,000 phone calls placed to domestic violence hotlines nationwide.9

The presence of a gun in a domestic violence situation increases the risk of homicide by 500%.10

Intimate partner violence accounts for 15% of all violent crime.2

Women between the ages of 18-24 are most commonly abused by an intimate partner.2

19% of domestic violence involves a weapon.2

Domestic victimization is correlated with a higher rate of depression and suicidal behavior.2

Only 34% of people who are injured by intimate partners receive medical care for their injuries.2

RAPE

1 in 5 women and 1 in 71 men in the United States has been raped in their lifetime.1

STALKING

HOMICIDE

72% of all murder-suicides involve an intimate partner; 94% of the victims of these murder suicides are female.8

CHILDREN AND DOMESTIC VIOLENCE

1 in 15 children are exposed to intimate partner violence each year, and 90% of these children are eyewitnesses to this violence.5

ECONOMIC IMPACT

Victims of intimate partner violence lose a total of 8.0 million days of paid work each year.6

The cost of intimate partner violence exceeds $8.3 billion per year.6

Between 21-60% of victims of intimate partner violence lose their jobs due to reasons stemming from the abuse.6

Between 2003 and 2008, 142 women were murdered in their workplace by their abuser, 78% of women killed in the workplace during this timeframe.4

PHYSICAL/MENTAL IMPACT

Women abused by their intimate partners are more vulnerable to contracting HIV or other STI’s due to forced intercourse or prolonged exposure to stress.7

Studies suggest that there is a relationship between intimate partner violence and depression and suicidal behavior.7

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