Hi everyone, I'm having trouble finding a Lemmy instance that works well for me. The main instance I use is down, and most others are too slow. I'm wondering if there's a way to choose an instance based on latency and the least blocked users. I found two relevant issues on the awesome-lemmy-instances GitHub page: issue #12 about choosing an instance based on latency and issue #17 about choosing an instance with the least blocked users. However, I'm not sure how to implement these into the main script to generate a readme with a few recommended instances. Does anyone have any advice or tips on how to choose a Lemmy instance based on these criteria? Thanks in advance for your help!

I'm particularly looking for youtubers that are very active and more entertaining than focused on theory. But I would be happy to hear any of your recommendations.

A highly sedentary adult aged 18-64 should aim to gradually increase their physical activity levels to meet the recommended guidelines. According to the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC), adults in this age range should:

1. Do at least 150-300 minutes of moderate-intensity aerobic physical activity (e.g., brisk walking) or at least 75-150 minutes of vigorous-intensity aerobic physical activity (e.g., jogging or running) per week, or an equivalent combination of both[1][3].
2. Engage in muscle-strengthening activities at moderate or greater intensity that involve all major muscle groups on 2 or more days a week[1][3].
3. Limit the amount of time spent being sedentary and replace sedentary time with physical activity of any intensity, including light intensity, for health benefits[3].

It's important to note that some physical activity is better than none, and adults who sit less and engage in any amount of moderate-to-vigorous intensity physical activity will gain health benefits[2]. As a highly sedentary adult, you should start with small, manageable increments of physical activity and gradually increase the duration, frequency, and intensity as your fitness level improves. It's also a good idea to consult with a healthcare professional before starting a new exercise program, especially if you have any medical conditions or concerns[5].

Citations:

[1] https://www.cdc.gov/physicalactivity/basics/age-chart.html

[2] https://www.cdc.gov/physicalactivity/basics/adults/index.htm

[3] https://www.who.int/news-room/fact-sheets/detail/physical-activity

[4] https://www.health.gov.au/topics/physical-activity-and-exercise/physical-activity-and-exercise-guidelines-for-all-australians/for-adults-18-to-64-years

[5] https://www.nhs.uk/live-well/exercise/exercise-guidelines/physical-activity-guidelines-for-adults-aged-19-to-64/

[6] https://www.acsm.org/education-resources/trending-topics-resources/physical-activity-guidelines

[7] https://www.ncbi.nlm.nih.gov/books/NBK305058/

[8] https://www.ncbi.nlm.nih.gov/books/NBK566046/

[9] https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf

I have had reservations about balancing scores across communities based on the number of users, as it may dilute the uniqueness and individual themes of each instance. However, upon further consideration, I have noticed that smaller instances are underrepresented on the main feed. This has prompted me to reconsider the approach and explore the possibility of balancing instances based on monthly active users instead of communities. By doing so, we can ensure a more diverse representation of instances and avoid a situation where only big instances dominate the feed. I am uncertain about the best approach, and I would appreciate hearing your opinions on this matter.

Please consider leaving a thumbs up on the GitHub issue.

I'm reaching out to the community to gather your thoughts and suggestions on how we can enhance Lemmy's search functionality, as discussed in Issue #846. Currently, the search options (new or top of a specific time) do not consistently deliver relevant or useful results, which creates difficulties for users trying to find posts based on specific keywords. While search engines like Google employ factors such as backlinks, freshness, keyword mentions, user experience, and topical authority, we need to strike a balance between improving search results and maintaining low complexity.

Please consider leaving a thumbs up on the GitHub issue.

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To find videos with above average popularity in your YouTube subscriptions, you can follow these steps:

1. Retrieve a list of your YouTube subscriptions using the YouTube API or a third-party tool.
2. For each subscribed channel, obtain the view count or engagement metrics of their recent videos.
3. Calculate the average view count or engagement metrics across all videos for each channel.
4. Compare the view count or engagement metrics of each video to the average for its channel.
5. Select the videos that have above-average view count or engagement metrics as the ones with above average popularity in your subscriptions.

Here's an example code snippet in Python using the YouTube Data API to retrieve the list of subscriptions and calculate the average view count for each channel:

```python import googleapiclient.discovery

Create a YouTube API client

youtube = googleapiclient.discovery.build('youtube', 'v3', developerKey='YOUR_API_KEY')

Retrieve the list of subscriptions

subscriptions = youtube.subscriptions().list( part='snippet', mine=True ).execute()

Iterate through each subscribed channel

for subscription in subscriptions['items']: channelId = subscription['snippet']['resourceId']['channelId']

# Get the channel's uploads playlist playlist = youtube.channels().list( part='contentDetails', id=channelId ).execute()

uploadsPlaylistId = playlist['items'][0]['contentDetails']['relatedPlaylists']['uploads']

# Get the videos in the uploads playlist videos = youtube.playlistItems().list( part='contentDetails', playlistId=uploadsPlaylistId, maxResults=10 # Adjust the number of videos to fetch as needed ).execute()

totalViewCount = 0 numVideos = 0

# Calculate the total view count for the channel's videos for video in videos['items']: videoId = video['contentDetails']['videoId']

videoStats = youtube.videos().list( part='statistics', id=videoId ).execute()

viewCount = int(videoStats['items'][0]['statistics']['viewCount']) totalViewCount += viewCount numVideos += 1

# Calculate the average view count for the channel if numVideos > 0: averageViewCount = totalViewCount / numVideos else: averageViewCount = 0

print(f"Channel: {subscription['snippet']['title']}") print(f"Average View Count: {averageViewCount}\n") ```

You can modify this code to include other engagement metrics like likes, comments, or shares, and use them to determine the videos with above average popularity in your subscriptions.

There is a request for a comment on this issue Controversial posts and comments #2515. Do you have any ideas on how best to implement this?

> I'd like to see some more people chime in with opinions, but maybe that'll come with a PR. At the very least, it's something that can be moved forward with. > > — dcormier

There is a request for a comment on this issue Controversial posts and comments #2515. Do you have any ideas on how best to implement this?

> I'd like to see some more people chime in with opinions, but maybe that'll come with a PR. At the very least, it's something that can be moved forward with. > > — dcormier

Reminder that you only have until the end of the month if you want to use PowerSuiteDelete to edit all your Reddit comments to say something like the title. After that, there may no longer be a free API available.

Guide: How to edit all your Reddit comments with PowerDeleteSuite

I find it annoying to have to check posts from multiple instances just to make sure I'm seeing all the comments. How can I find instances with open registration that block or are blocked by the fewest number of other instances?

I will probably have to take into account the instance size and the total number of users blocked.

I have grown used to searching the internet with the help of the search site:reddit.com command. However, I'm looking for a more convenient method to search across all popular Lemmy instances without the need to manually copy and paste the following query every time: (site:lemmy.world OR site:lemmy.ml OR site:beehaw.org OR site:feddit.de OR site:sh.itjust.works OR site:lemmy.one OR site:lemmy.ca). Is there a more user-friendly approach to perform these searches? Alternatively, is there a comprehensive instance list available that I can easily copy to my clipboard and utilize within a script to obtain the formatted output for the search? Any suggestions or assistance would be greatly appreciated.

I've been thinking about the rise of AI in the job market lately, and I wanted to get your thoughts on it. According to recent reports, AI eliminated around 4,000 jobs in the US in May alone, and it seems like this number will only continue to rise. This raises some important questions about the future of work and the impact of automation. Are you concerned about AI taking over jobs? How do you think it will affect employment in the next few years?