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When my the local police and EMS folks attempt to track missing kids via phones, the ping rate is directly proportional to app activity. Yes, we can get a ping even if the battery is dead, but we get wildly more and more frequent pings when the kid is surfing the internet. Folks using GPS guidance or TikTok or whathave you with wifi in a store are simply more visible to the tracking services than folks in a masonry cathedral with the phone on silent. \n”,”children”:[<"id":160745018,"author":"Student","vote_total":0,"user_vote":null,"updoots":0,"downboops":0,"vote_count":0,"date":"2024-04-16>

A definition of weekly could be attendance on any day of the week in the survey\u2026 even if they missed the Sunday service (which is sexy Alicante wife a day of obligation). \n”>,<"id":160744829,"author":"Student","vote_total":0,"user_vote":null,"updoots":1,"downboops":1,"vote_count":2,"date":"2024-04-16>

Less than 1 in 5 turning their phone off, putting it in airplane mode, or leaving it home is plausible. At Catholic services, the specifically ask people to do that. 3\/5 ignoring that request but putting it on silent mode and 1\/5 leaving it on with the ringer on sounds about right in my anecdotal experience. \n”>],”childrenIDs”:[160744876,160745018,160744831,160744829]>,<"id":160744800,"author":"Dave>

So it is your contention that 17% of people in the US go to church and leave their phone off or at home? That is an incredible assertion. You’d think that many phones off would show up in the data. (In my church, we text prayer requests, have digital bulletins, etc. so many have their phones on.) \n”,”children”:[<"id":160744871,"author":"Sure","vote_total":5,"user_vote":null,"updoots":5,"downboops":0,"vote_count":5,"date":"2024-04-16>

No, We believe that if you are going to count pings in order to size place frequency you will want to account for what alter ping price. Such things as: medical shutting off\/quicker app utilize during the properties, making the telephone in the home, decreased smartphone lobby in to the largescale masonry, dual-goal locations that do not meets his coding (e.grams. a good Pentecostal church conference during the an exclusive home, a dwindling church one ended up selling the strengthening now meets in the an elder cardiovascular system), and you can attendance outside of the \”old-fashioned day of worship\”. \letter

His own investigation, whenever searched against better research supply, shows fairly in regards to the variation. Film heading is undercounted because of the 29% in accordance with gate matter. Basketball video game are a lot best measured than baseball online game. Over his whole control merge he suggests

I use geolocation research regarding Veraset, a family that give\nde-identified geospatial data to possess countless U

90% internet mistake assortment. And all sorts of those actions is actually significantly far more the same as per apart from churchgoing. Whenever we use his extremely lax dimensions requirements, following literally every ‘never-browsing atheist’ need to be lying. \letter

The higher challenge with the meaning for Catholics that\u2019s utilized is the fact a lot of people sit in Sunday service toward Monday night vigil size (that was traditionally the start of Week-end)

Perchance you want to tell me you to rather than the questionnaire mentioned 1\/cuatro or step 1\/5, genuine weekly attendance rates try 1\/six or 1\/8. That is plausible. But when you need to let me know its 1\/20 otherwise 1\/twenty five, i quickly keeps so many dudes bringing widowmakers at church. \letter

Most likely his data, which already has some truly bizarre implications (like the afore referenced 100% yearly-attending rate), and an overall correlation of 0.4 is simply systematically inaccurate at measuring weekly attendance. \n”>],”childrenIDs”:>,<"id":160744685,"author":"RAD","vote_total":20,"user_vote":null,"updoots":24,"downboops":4,"vote_count":28,"date":"2024-04-16>

Overall, I think the 2.1M sample is a fairly conservative cut of the data and represents situations where phones are being tracked nearly continuously. However, for robustness, I run and report in Section IV several robustness checks using different and much tighter sample restrictions (both in terms of days with a visit and average hours during the day) and find nearly identical results. \n”,”children”:[<"id":160744755,"author":"Tom>

Selecting cellphone decide to try. S. sple months, the organization has an alternative cellphone ID getting 10s away from hundreds of thousands away from phones (