Also, there is Bulk each day

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 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, I demand that if you will probably count pings to scale venue volume you really need to take into account what change ping rates. Such things as: clinical turning off\/faster application usage through the attributes, making the phone yourself, decreased portable lobby in to the largescale masonry, dual-goal locations where dont matches their programming (elizabeth.g. a Pentecostal chapel conference in the an exclusive home, a dwindling chapel one to sold their building and today suits inside a senior heart), and attendance away from \”antique day’s praise\”. \n

His own studies, when looked facing most readily useful research present, shows quite towards variation. Movie going is undercounted by 29% relative to gate number. Basketball games are much greatest counted than just basketball online game. More than his whole control mix the guy suggests

I personally use geolocation study from Veraset, a family that provides\nde-recognized geospatial study getting countless U

90% online error assortment. And all those activities was significantly alot more like each besides churchgoing. Incase we use his extremely lax measurement requirements, following actually the ‘never-probably atheist’ must be sleeping. \letter

The higher trouble with this is for Catholics you to\u2019s made use of would be the fact people sit-in Sunday service towards Saturday night vigil bulk (that was usually the start of Week-end)

Perchance you need certainly to tell me you to definitely rather than the questionnaire measured step one\/4 otherwise step 1\/5, correct weekly attendance speed is actually step 1\/six otherwise step one\/8. That’s plausible. But when you want to tell me its step 1\/20 or step one\/twenty-five, however secret benefits chat features so many men taking widowmakers at the chapel. \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>

Wanting smartphone take to. S. sple several months, the business provides a new cellphone ID having tens off millions from mobile phones (